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Saviynt Joins Snowflake to Tackle AI’s Next Security Frontier: Trusted Agent Interoperability
To reduce identity risk when third-party AI agents access business systems, Saviynt is launching a new integration with Snowflake to help enterprises securely govern third-party agents across platforms
Sydney, 10 August 2026 — Saviynt has announced a new integration with Snowflake, the AI Data Cloud company, designed to reduce identity risk from third-party AI agents. Through this integration with Snowflake, Saviynt helps enterprises securely connect, govern, and audit agents across business systems and platforms.
As AI agents increasingly collaborate across enterprise ecosystems, they are making autonomous decisions, accessing sensitive data, and invoking external tools, creating security and governance challenges that traditional security frameworks may not solve. Today, organisations require a modern security model that establishes trusted access and enforces robust governance controls across every agent interaction.
Saviynt is launching a new secure third-party agent access integration within Snowflake’s security ecosystem to establish a new benchmark for enterprise AI governance and security. Through this integration, organisations can mitigate critical third-party identity risks while seamlessly connecting, governing, and scaling agents to deliver production-ready AI solutions across the enterprise.
“Traditional identity security models were built for human users, not AI agents, creating a critical gap in enterprise security. Our integration with Snowflake addresses this challenge through Saviynt’s Access Gateway, which evaluates agent intent, context, permissions, and risk at runtime to ensure AI agents are only authorised to perform the actions required for a specific task. It prevents privilege misuse and anomalous activity before it can impact the business.” said Akhil Kapoor, Senior Vice President, Business Development at Saviynt.
This initiative reflects a broader industry shift toward safeguarding the agentic enterprise through ecosystem-wide collaboration.
“Securing the agentic enterprise requires an entirely new model of trust, visibility, and control,” said Mayank Upadhyay, Chief Security and Trust Officer, Snowflake. “Through our integration with Saviynt, we are establishing a secure foundation for agent interoperability, equipping organizations with the precise access capabilities and trust required to run autonomous workflows safely.”
This integration marks a critical milestone in establishing the trusted foundation required to run next-generation AI agents safely in production environments.
For additional insights into modern AI security and governance strategies, visit the Snowflake blog.
Wiz Honours Australia’s Top Cloud Security Partners at Inaugural Awards
Wiz, now part of Google Cloud, has recognised five Australian partners for their contribution to helping organisations strengthen cloud and AI security, announcing the winners of its inaugural Australian Partner Awards at the Wiz Partner Summit in Sydney.
The awards recognise partners that have demonstrated excellence in helping customers adopt cloud technologies securely while navigating the growing complexity of AI-driven environments.
Announced on 11 August, the winners are:
- Partner of the Year: Accenture
- GTM Magician: Sekuro
- Rising Star: Mantel Group
- AI Security Excellence Partner: Versent
- Bright Spark Award: Francesco Sbaraglia, Accenture
According to Ramon Valery, Channel Director, Australia & New Zealand at Wiz, partners are central to helping organisations innovate securely as cloud adoption and AI deployments continue to accelerate.
“Our Australian partner ecosystem plays a critical role in helping customers secure their cloud and AI journeys,” Valery said. “We are honoured to celebrate these exceptional partners who bring deep technical expertise and dedication to our customers. Together, we are helping organisations scale securely and innovate confidently.”
The awards form part of the Wiz Partner Alliance, the company’s global partner program that brings together system integrators, consulting partners and value-added resellers to help customers strengthen their cloud security posture and accelerate digital transformation.
Founded in 2020, Wiz has rapidly established itself as one of the fastest-growing cloud security companies globally. Its platform gives organisations visibility across cloud infrastructure, applications and runtime environments, enabling security and engineering teams to identify and remediate risks from a single platform.
The company became part of Google Cloud in March 2026 following Google’s completion of its landmark US$32 billion acquisition. Wiz continues to operate under its own brand while supporting customers across all major cloud platforms, including AWS, Microsoft Azure and Google Cloud.
As organisations increasingly adopt AI and operate across multiple cloud environments, partner expertise has become increasingly important in helping customers deploy security consistently while managing evolving cyber risks.
The inaugural Australian Partner Awards recognise the organisations leading that effort, highlighting the role of Australia’s technology partner community in enabling secure cloud and AI adoption.
ANZ Organisations Know What Keeps the Business Running but Not Always the Technology Behind It
Organisations across Australia and New Zealand are increasingly identifying the business functions they need to maintain during a cyber crisis, but many have yet to establish which technology systems and data are required to keep those functions operating.
New research from Commvault has revealed a significant gap between business continuity planning and technology recovery readiness.
Commvault’s State of Data Resilience ANZ 2026 report found that 61% of ANZ organisations have defined the minimum business functions required to continue operating during a cyber crisis.
However, only 43% have identified the technology environments needed to support those functions.
The gap could create significant challenges during a ransomware attack or other major cyber incident. Knowing which business functions are essential is only part of the recovery equation. Organisations also need to understand which applications, systems and data underpin those functions and whether they can actually be recovered.
Organisations that define both their minimum business functions and the technology required to support them are significantly more likely to maintain operations and recover faster following a cyberattack, according to the research.
“Organisations need to stop making recovery decisions during a crisis and start building resilience before one occurs,” said Gareth Russell, Field CTO, Security, Asia Pacific at Commvault.
“The conversation needs to shift from ‘How do we recover everything?’ to ‘What must we recover first?'”
Russell said organisations that establish a Minimum Viable Company before an attack can identify the people, applications, systems and data required to keep operating during a disruption.
“They’ve already proven they can recover them. That’s how you reduce downtime, remove uncertainty and avoid treating ransomware payments as a recovery strategy,” he said.
The findings come as organisations continue to expand their technology environments, adopt artificial intelligence and manage increasingly large and complex data estates.
Commvault says this makes prioritising critical systems and data increasingly important. Attempting to recover everything simultaneously following a cyberattack can introduce further uncertainty, while clearly defined recovery priorities can help organisations restore the operations that matter most first.
The research highlights the need for organisations to connect business continuity planning with technology recovery planning, ensuring that critical business functions are supported by clearly defined and tested recovery capabilities.
The research was independently conducted by TRA, now part of Omdia, surveying 411 organisations across Australia and New Zealand. Respondents included CIOs, CISOs, IT leaders, IT decision makers and their direct reports.
Saviynt Exceeds US $300 Million in ARR and Launches Zuma the Enterprise AI Identity Security Platform
New customer acquisitions grew more than 80% as organidations increasingly adopt new identity security solutions designed for the age of AI
Saviynt, a leading provider of identity security solutions, announced significant business momentum, surpassing US $300 million in annual recurring revenue while growing bookings by more than 80% and maintaining a leading 96% customer retention rate. It also launched Zuma, a complete AI identity security platform that provides organisations with an innovative, agile, and effective solution to adopt, deploy, and scale AI solutions.
Saviynt’s financial achievements reflect the growing demand for modern identity security, especially with the challenges caused by the rapid utilisation of AI. Saviynt developed Zuma after working closely with some of the world’s leading organisations and understanding that AI agents, LLMs, AI-based applications, and non-human identities are multiplying across business functions, yet often without effective oversight. With the launch of Zuma, enterprises can now implement a complete, real-time, intent aware identity security solution purpose built for AI.
“AI is fundamentally changing the identity security equation,” said Sachin Nayyar, CEO of Saviynt. “Enterprises are no longer securing only human users. They are now responsible for AI agents and non-human identities that can decide and access systems at machine speed. Saviynt’s momentum reflects the urgency we are seeing from customers around the world, and Zuma represents a major step forward in helping them embrace AI with confidence and control.”
“Like many large enterprises, we are looking at how to safely scale AI across the business without losing visibility or control,” said Sarita Dsouza, IAM Leader, Cytiva, a Danaher company. “The challenge is that AI agents and non-human identities don’t fit neatly into legacy identity processes. Saviynt is bringing the right pieces together – discovery, ownership, runtime controls, and governance, in a way that maps to how security teams actually need to manage this risk.”
AI moves too rapidly for legacy identity solutions, misapplied cybersecurity applications, and broad IT tools. These infirmities have left enterprises searching for a new approach because the current approaches cannot provide answers to fundamental questions, like:
- Where are all my AI agents?
- Who created these agents?
- What are these agents doing?
- Who is overseeing the actions of these agents?
- What control do we have over the data and applications they access?
Zuma answers these questions by bringing together new, AI-specific capabilities and existing identity best practices into a single unified control plane made up of Zuma Insights, Zuma Access, and Zuma Governance:
- Zuma Insights = Visibility into all identities: Zuma Insights continuously discovers AI agents, LLMs, AI-based applications, and non-human identities across the enterprise. It helps organisations understand what these identities access, who owns them, sees lifecycle changes with a clear timeline view, and understand where risk exists before any gaps become business or financial risks.
- Zuma Access = Protection applied at run-time: Zuma Access evaluates agent intent, context, permissions, and risk at runtime to ensure AI agents are only authorised to perform the actions required for a specific task. It prevents privilege misuse and anomalous activity before it can impact the business.
- Zuma Governance = Accountability for all identities: Zuma Governance establishes ownership, lifecycle controls, policy guardrails, access reviews, and audit-ready evidence for AI agents and non-human identities. This lets organisations close governance gaps on unmanaged or orphaned agents and ensure AI and non-human identities are held to stronger accountability standards than human identities.
“As AI adoption and automation accelerate, enterprise security teams are under increasing pressure to secure both human and non-human identities while enabling the business to adopt AI responsibly,” said Ruchir Swarup, Chief Information Officer at KKR. “Identity has emerged as a vital control point that will define security in the AI era. The organisations that move fastest will be those that give cyber leaders the visibility, governance, and control needed to manage AI-driven risk while supporting innovation and growth.”
“Customers are telling us they need more than another dashboard,” added Nayyar. “They need a control plane that can help them see every AI and non-human identity, govern it with accountability, and protect the business in real time. That is the problem Zuma was built to solve.”
Zuma is available now. Learn more, watch a demo, and start a free trial today.
Check Point Revolutionises the Firewall Market: New AI Network Firewall Closes the Network’s AI Blind Spot – Everywhere
With the new AI Network Firewall, Check Point is the first to deliver AI security from the physical firewall organisations already run – extending the AI Defense Plane across their network providing security teams visibility and control over AI use by employees, applications, and agents, with no new infrastructure
Check Point® Software Technologies Ltd. (NASDAQ: CHKP), a pioneer and global leader of cyber security solutions, has announced the Check Point AI Network Firewall, delivered as part of Check Point firewall software release R82.20. AI has introduced a new class of network traffic — prompts, autonomous agent actions, and sensitive business context — that traditional firewalls were never designed to see or secure. The AI Network Firewall closes that gap from the Check Point firewall organisations already run, delivered through Check Point’s AI Defense Plane with no new infrastructure and no rearchitecting.
“AI is transforming the enterprise network, and with the AI Network Firewall, we are transforming the firewall to secure it,” said Nataly Kremer, Chief Product Officer at Check Point. “The network is where every prompt, model call, and agent interaction already converges, yet traditional firewalls were never built to see or govern that activity. By bringing AI security into the firewall organisations already run, we give security teams the visibility and control to enable AI adoption safely, in real time.”
The exposure is already universal. Check Point Research’s AI Security Report 2026 found that between 87% and 93% of organisations experience at least one high-risk generative-AI interaction every month and the share of prompts carrying sensitive corporate, personal, or regulated data doubled in a year to one in every 25 interactions. Organisations are adopting AI faster than they can govern it, and the activity that needs governing is already moving across the network.
“Organisations are challenged to deploy dedicated AI security solutions, which are additive to their existing security architecture – contributing to the sprawl of dis-jointed, siloed security tools and agents,” said Pete Finalle, Research Manager, Trusted Access and Network Security at IDC. “While rare, the native integration of AI security across existing enforcement points, provides improvements to visibility, telemetry effectiveness, security posture, and management simplicity.”
Turning existing firewalls into immediate AI protection
Unlike alternatives that require a separate virtual firewall deployed alongside existing infrastructure, Check Point delivers this protection directly from the physical or virtual firewalls customers already operate and scales across branches, data centres, cloud, and multi-cloud environments. For Check Point firewall customers, the AI Network Firewall turns existing firewall investments into immediate AI protection across three domains:
- Employee AI use: Discover AI apps, agents, and tools in use — both shadow and sanctioned — gain visibility into how AI is being used and prompt use-cases and intents, govern access to safe and sanctioned tools, and stop sensitive data from leaving the network based on the prompt’s use case. Check Point Research found organizations now run an average of ten AI applications per month, many outside any formal process
- AI Tools (MCP): Discover Model Context Protocol (MCP) communication, gain full visibility into servers and used tools, and enforce policies to control access across every interaction. Check Point Research found security weaknesses in 40% of 10,000 MCP servers reviewed
- AI Application and LLM: Prevent prompt injection and adversarial inputs, blocking malicious prompts before they reach the LLM. This happens inline, with no application changes required. Check Point Research identified 15,300 indirect-injection payloads planted in public web pages, roughly 70% of them hidden in parts of the page no human ever sees
Part of the AI Defense Plane: one architecture across the enterprise
The AI Network Firewall becomes part of Check Point’s AI Defense Plane, a unified control plane for discovering, governing, and protecting AI across the network, endpoints, cloud, applications, and APIs. Together, the AI Defense Plane delivers:
- Discovery, governance, and protection for AI across web, desktop, coding assistants, and AI agents
- Local AI agent discovery and control
- SaaS AI agent discovery and control
- Runtime protection and governance for AI applications
- Risk detection and guardrails to protect homegrown and deployed AI
Additional enforcement points across the AI Defense Plane span standalone API for self-managed applications, endpoint for employees, containerized firewall for AI data centres, and WAF – giving organisations consistent AI security across public and private clouds, branch offices, remote users, and data centres
Unified, agentic management across a hybrid, multi-vendor environment
Following the recent announcement of its agentic network security orchestration platform, Check Point is also extending central policy management to Check Point SASE and SD-WAN, with dynamic, always-accurate zero-trust policy enforcement across IT, OT, and micro-segmentation tools including Illumio and others:
- One console manages on-premises firewalls, cloud firewalls, AWS native firewalls, SD-WAN, and SASE with consistent policy and a unified audit trail across every environment
- SD-WAN connectivity and security policy are managed together, ending the operational split that forces teams to juggle separate tools
- Open-platform integrations keep firewall rules current as the environment changes, without manual reconciliation
“Policy alone will not solve shadow AI. Employees will continue using AI tools to move faster, often before security teams know those tools are present,” said Chris Konrad, Vice President, Global Cyber at WWT. “Organisations need to understand which AI applications, agents, and MCP servers are interacting with their environment, and they must have the means to intercept or block unauthorised traffic. Integrating both AI visibility and active enforcement into the enterprise firewall is a practical approach because it builds on infrastructure organisations already operate and trust. That gives teams a control point to govern usage and reduce risk without slowing innovation.”
Check Point AI Network Firewall is available now. Learn more here.
GTIG Tracks Sophisticated Multi-Brand Extortion Operation Behind UNC6671
New research from Google Threat Intelligence Group (GTIG) has uncovered how cyber extortion group UNC6671 operates through a network of multiple public-facing ransomware and extortion brands designed to complicate investigations and maximise profits.
Rather than relying on a single identity, GTIG says the core intrusion group supplies operations carried out under several different brands, including Redact, Pink, Helix and Falcon. This decentralised approach allows operators to compartmentalise negotiations, obscure links between attacks and make attribution significantly more difficult for defenders and law enforcement.
The research also provides insight into the group’s business model. Between January and May 2026, GTIG tracked more than US$10.6 million in Bitcoin payments flowing to wallets associated with the operation.
While initial ransom demands regularly exceed US$3 million, attackers frequently negotiate settlements closer to US$750,000, demonstrating an increasingly commercial approach to cyber extortion where negotiations are treated as part of a structured business process.
According to GTIG, the findings reinforce that many modern cybercriminal groups function much like decentralised enterprises, sharing infrastructure and capabilities across multiple brands while maintaining a degree of operational separation.
BeyondTrust Showcases the First Wave of Native Pathfinder Capabilities for Every Identity at Black Hat USA 2026
- Marks a major milestone in the evolution of the BeyondTrust Pathfinder platform as it advances BeyondTrust’s vision for redefining privilege management
- Further extends BeyondTrust’s privilege-centric approach to secure every human, machine, workload, and AI identity that can hold or exercise privileged access
- Combines visibility, intelligence, and protection to reduce the standing privilege attackers depend on
- Brings together four native Pathfinder capabilities: PathfinderAI & MCP Server, AI Agent Security, NHI Governance, and the newly announced Workload Credentials capability
BeyondTrust, the global leader in privilege-centric identity security protecting Paths to Privilege™, today announced its Black Hat USA 2026 showcase of the first wave of native capabilities built on the BeyondTrust Pathfinder platform, extending the identity visibility and intelligence already delivered through Identity Security Insights®, while adding new context and telemetry that make those insights even more powerful. Together, these capabilities further extend privilege management beyond traditional human administrators to every identity that can hold or exercise privileged access, advancing BeyondTrust’s vision for redefining privilege management.
PathfinderAI & MCP Server, AI Agent Security, NHI Governance, and Workload Credentials are the first native Pathfinder capabilities designed to help organisations discover, prioritise, govern, and protect privileged access wherever it exists. Together, these capabilities bring human and non-human identities, including AI agents and workloads, onto a single platform that combines identity visibility, intelligence, and protection to help organisations uncover, understand, and reduce the standing privilege attackers depend on.
“We are not a privileged access company adding AI,” said Marc Maiffret, Chief Technology Officer, BeyondTrust. “We are the company that has long defined how to secure privileged action. For twenty years, that meant people with administrative rights, and we built the category for securing them. Today, that actor is just as likely to be an AI agent or autonomous workload. The actor has changed. Our job has not.”
The Problem: Privilege Now Lives Everywhere
Recent research from BeyondTrust Phantom Labs® found enterprise AI agents grew more than 460% year over year, while security researchers continue to document the rapid expansion of machine and non-human identities across enterprise environments. These identities often have no clearly assigned owner. Their access evolves faster than organisations can review it, and credentials intended to be temporary often persist indefinitely. Attackers have taken notice. They’re increasingly abusing trusted identity relationships, from OAuth integrations to workload credentials, to move laterally and access sensitive data without triggering traditional security controls. Excessive privilege has become one of the easiest paths into modern environments.
The Response: The Next Evolution of the Pathfinder Platform
The following native capabilities expand the Pathfinder platform with new ways to discover, prioritize, govern, and protect privileged access across every identity.
- PathfinderAI & MCP Server: PathfinderAI lets security analysts investigate identity risk using natural-language queries across identity relationships, privileges, and hidden Paths to Privilege™, natively inside the Pathfinder platform. A new Pathfinder MCP Server extends that intelligence outward, letting AI agents, such as Microsoft Copilot, OpenAI, and Claude, securely connect to BeyondTrust’s privilege-centric identity intelligence through the open Model Context Protocol.
- AI Agent Security: AI Agent Security enforces what AI coworkers and autonomous agents, including Claude Code, Microsoft Copilot, Cursor, and OpenAI Codex, are allowed to do on the endpoint, in real time, before they act. It helps organisations discover, inventory, and govern AI agents on endpoints across the enterprise, providing visibility into AI identities, shadow AI, associated privileges, and paths to privilege separate from the human identities. The solution enables security teams to understand where AI agents exist, what they can access, and how to reduce unnecessary privilege before it becomes exploitable.
- NHI Governance: NHI Governance extends privileged access management to the service accounts, API keys, OAuth clients, workload identities, and AI agents that now outnumber employees in nearly every organisation—and remain largely ungoverned. It moves organisations beyond simply discovering non-human identities to actively governing the privilege they hold. Organisations can establish ownership, review privileged access, automate lifecycle management, and apply governance controls to identities that have traditionally operated outside standard identity governance processes.
- Workload Credentials: Workload Credentials is a new cloud-native secrets management capability on the Pathfinder platform, purpose-built to secure the non-human identities behind CI/CD pipelines, Kubernetes services, containers, and AI agents. Rather than vaulting and rotating static secrets, Workload Credentials replaces them with short-lived, auto-expiring credentials that are generated on demand and discarded after use, so there is nothing left to leak. A workload authenticates with an OIDC identity token, a policy engine evaluates the request, a scoped credential is issued, and it expires automatically — no manual rotation required.
Availability & Early Access
PathfinderAI, the Pathfinder MCP Server, AI Agent Security, and NHI Governance are available now through the BeyondTrust Early Access program. Workload Credentials early access opens soon. Organisations can request access at the links below, contact their BeyondTrust account teams, or stop by booth #4720 at BlackHat to learn more.
Horizon3 Raises US $250M Series E at US $2B+ Valuation to Lead the “AI vs. AI” Cybersecurity Era
NightDragon and NEA Co-Lead Oversubscribed Round; Company triples valuation and surpasses 7,000 customers amid 120% ARR growth
Horizon3, the AI-Native Proactive Security Company behind NodeZero®, the World’s Best AI Hacker™, today announced a US $250 million Series E at a valuation of more than US $2 billion, tripling its valuation from US $650 million at Series D in just over a year. The oversubscribed round was co-led by existing investors NightDragon and NEA, with participation from seven new investors and five returning backers. The capital underscores accelerating global demand for safe, autonomous security validation as AI-driven cyberattacks escalate.
“We invented the concept of AI Hackers and spent six years earning the right to autonomously pentest the most critical and sensitive networks in the world — with no humans in the loop,” said Snehal Antani, Co-Founder and CEO of Horizon3. “Our massive data moat – built on 310,000 tests safely executed in production – combined with thousands of radical champions who love our product, has allowed us to achieve consistent top-tier financial and operational metrics. This round gives us the fuel to scale aggressively as the definitive leader of the AI vs. AI era.”
A Defining Moment for Autonomous Security
Cyberattacks now move at the speed of AI, and traditional defences cannot keep pace. Horizon3’s NodeZero platform closes that gap by autonomously and safely attacking an organication’s own production environment. It reveals exactly how adversaries chain together misconfigurations, weak credentials, and identity gaps to compromise critical systems, provides fix guidance, and instantly verifies remediation. Additionally, as NodeZero tests an environment, it can optimally deploy honeypots that are the cheapest, fastest, and most effective way of detecting AI attackers and prove they are inside.
This unique approach has powered 120% year-over-year ARR growth as Horizon3 now protects over 7,000 organisations globally including multinational banks, major healthcare networks, and four Fortune 10 enterprises. Vetted, tested, and operational across large, classified government agencies and enterprises in the most highly regulated industries in the world, Horizon3 is FedRAMP® High authorised and helps organisations meet DORA, NIS 2, NIST CSF 2.0, HIPAA, SOC 2, and GDPR regulatory requirements. The company was also recently named the Fastest Growing Cybersecurity Company in North America by both the Deloitte Technology Fast 500 and Fast Company.
Premier Global Investor Syndicate and Board Additions
The Series E round was co-led by existing investors NightDragon and NEA, with participation from a syndicate of new and returning strategic and institutional investors:
- New investors: Acrew, Blue Cloud Ventures, EDBI (arm of SG Growth Capital, the investment platform of EDB and Enterprise Singapore), Demeter Group, PSG, SAIC, and Sapphire
- Existing investors: Craft Ventures, Prosperity7 Ventures, Qualcomm Ventures, Ridge Ventures, and SignalFire
As part of the investment, Dave DeWalt, Founder and CEO of NightDragon and former CEO of FireEye and McAfee, and Morgan Kyauk, Managing Director at NightDragon, will join Horizon3’s Board of Directors.
“Horizon3 coined the concept of cyber warfare being AI vs. AI, and that future has arrived,” said Dave DeWalt. “Snehal and his team have built an unparalleled proactive security platform that is fundamentally reshaping how the world defends its data. I am thrilled to join the board to help Horizon3 secure the world’s most critical infrastructure and enterprises at scale.”
“Horizon3 has demonstrated textbook operational excellence,” said Morgan Kyauk. “They have built an incredibly efficient, highly scalable go-to-market motion that will be further amplified by NightDragon’s ecosystem of partners, advisors, and global customers.”
Use of Proceeds Horizon3 will deploy the new capital across three strategic priorities:
- Aggressive GTM Scaling: Scaling go-to-market operations — sales, marketing, and channel — to meet surging global demand across enterprise, mid-market, and federal customers.
- International Expansion: Strategic entry into Singapore and Australia while deepening presence across EMEA.
“Cybersecurity companies today are making long-term decisions about where to anchor their engineering, product and regional leadership capabilities. Horizon3’s plans to establish its ASEAN headquarters and a Regional Centre of Excellence in Singapore demonstrate confidence in the depth of our talent, digital infrastructure and innovation ecosystem. We look forward to supporting the company’s next phase of growth and its continued contribution to Singapore’s cybersecurity ecosystem,” said Yeung Chia Li, Senior Partner at EDBI.
Gareth Cox, Vice President of Sales, APJ, Horizon3, said, “This is a major milestone for Horizon3 in the region. It will help accelerate our growth across key markets, build critical regional skills, expand local teams in Australia, Singapore and Japan, and strengthen our presence on the ground.”
Next-Gen Product Innovation: Accelerating the product roadmap to build a continuous learning loop between AI Attackers and AI Defenders — including new autonomous blue-team agents that remediate findings directly from NodeZero pentests.
“It has never been harder for CIOs and CISOs. Attackers are getting faster, enterprise IT is becoming more complex, and regulators and cyber insurers are becoming more punitive,” Antani added. “We’re about to see an explosion of vulnerabilities, most of which won’t matter, but a small percentage will be immediately exploitable. The goal of running pentests isn’t to find problems, it’s to quickly fix exploitable problems that matter. We started with pentesting, evolved to be a proactive security platform, and will now accelerate remediation by creating AI learning loops between attackers and defenders.”
Exabeam Collaborates with Google Cloud to Give Security Teams Deeper Insider Threat Visibility in Google Security Operations
Integration enables security teams to identify insider threats faster and accelerate security threat detection, investigation, and response workflows without moving data or adding complexity
Exabeam, a leader in Behaviour Intelligence for the agentic enterprise, today announced it has extended its behavioural analytics and agent-powered workflow automation to Google Security Operations. The integration gives security teams deeper visibility into insider threats, enabling more accurate investigation prioritisation and faster threat detection and response, helping organisations manage risk across both human and AI identities.
“The rise of AI agents is fundamentally changing how work gets done and how organisations need to think about risk,” said Pete Harteveld, CEO of Exabeam. “By collaborating with Google Cloud, a trusted partner in helping customers modernise security operations, we can give enterprises the visibility and context needed to detect human and non-human insider threats earlier, accelerate investigation and response, and confidently secure the agentic enterprise.”
Google Security Operations gives organisations a powerful cloud-scale foundation to centralise and correlate security telemetry. To maximise the value of this solution, organisations can now layer advanced behavioural analytics to enhance risk protection across users, identities, and AI agents. While achieving this level of insight previously required moving data to separate analytics systems — introducing extra operational steps — this integration allows teams to apply Exabeam New-Scale Analytics directly within Google Security Operations, streamlining workflows and maximising efficiency.
Secure Foundation
The Exabeam New-Scale Security Operations Platform and Google Security Operations are both built on Google Cloud, making the integration seamless by design. Security teams can apply Behaviour Intelligence directly to data already in Google Security Operations, reducing the cost, complexity, and operational overhead of maintaining a separate analytics environment.
The integration combines cloud-scale security operations and advanced behavioural analytics, helping security teams identify higher-risk activity sooner, reduce false positives, and prioritise investigations across human and non-human identities. According to Exabeam validation testing, organisations accelerated threat detection, investigation, and response (TDIR) workflows by up to 80%.
Behaviour Intelligence for the Agentic Enterprise
AI agents are no longer experimental. They access systems, invoke tools, execute workflows, and make decisions with increasing autonomy inside enterprise environments, creating a new category of insider risk. Most security tools were built to monitor human behaviour. They were not designed to baseline, detect, or investigate the behavioural patterns of non-human identities operating at machine speed.
“As AI agents have become digital workers inside enterprise environments, organisations must now secure and govern both human and non-human identities with the same level of oversight,” said Steve Wilson, Chief AI and Product Officer at Exabeam. “Bringing Exabeam Behaviour Intelligence directly into Google Security Operations helps organisations reduce complexity, prioritise the threats that matter most, and respond faster to insider risk — no matter where it originates.”
Exabeam New-Scale Analytics is foundational to behaviour intelligence, a unified system combining behavioural analytics, AI-driven operations, automated workflows, and outcomes-based visibility for effective cybersecurity. Applied directly to Google Security Operations data, it gives security teams the ability to analyse behaviour across every identity in their environment, human and AI, and act on that analysis before threats escalate. It accelerates security operations with agent-powered TDIR and provides benchmarks, assessments, and steps to strengthen posture for continuous security program optimisation.
Exabeam New-Scale Analytics is available for Google Security Operations customers through Google Cloud Marketplace, where eligible purchases can be applied toward existing Google Cloud spend commitments.
“Bringing Exabeam New-Scale Analytics to Google Cloud Marketplace will help customers quickly deploy and manage the solution on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Exabeam can now securely scale and support customers that want to use its advanced behavioural analytics to improve threat detection.”
BeyondTrust Research: 75% of Cyberattacks Trace Back to Identity and Privilege Exposure
- Across 400+ offensive research projects, one pattern dominated: identity and privilege issues sit at the heart of the modern attack surface, Phantom Labs® finds
- Identity and privilege risks often don’t come from a single flaw, but from how users, machines, and AI agents connect and inherit access across cloud, SaaS, and on-premises environments
- Research findings shaped BeyondTrust’s product portfolio and led to coordinated vulnerability disclosures, including in OpenAI Codex and AWS Bedrock AgentCore
BeyondTrust, the global leader in privilege-centric identity security protecting Paths to Privilege™, today released the Phantom Labs® Research Index, an annual analysis of what’s driving today’s attacks, based on the offensive security research conducted by the team. Most notably, the report revealed that attackers are increasingly exploiting the trusted relationships between users, applications, machine identities, and AI agents rather than isolated software vulnerabilities alone.
Analysing more than 400 research projects over the past year, Phantom Labs found that 75% of completed investigations involved identity or privilege in some way. Sorted by root cause, six problems accounted for more than half of everything the team found: credential and secret exposure (18%), identity relationships and graph exposure (11%), excessive or standing privilege (11%), identity misconfiguration (10%), and lateral movement (6%). These root causes rarely appeared in isolation. Standing privilege and privilege escalation showed up together most often, and credential exposure was the issue most likely to compound with something else.
“As organisations connect human, machine, and AI agent identities across dispersed environments, attackers don’t need to find a new vulnerability. They’re looking for the next identity relationship that leads to privileged access, and figuring out where those relationships create real exposure has become one of the harder problems in enterprise security today,” says Jonathan Johnson, Senior Manager, Research at BeyondTrust. “That’s exactly what we saw across our research this year: three out of four projects traced back to identity or privilege in some form, and standing privilege and privilege escalation showed up together more often than any other combination we tracked.”
AI Agents Are Becoming Enterprise Identities
AI and LLM security was Phantom Labs’ single largest research focus in year one, accounting for half of all projects. That work spanned cloud AI platforms (58%), AI agents and agentic systems (42%), model and data security (12%), prompt injection and jailbreak techniques (9%), and AI-specific privilege escalation (6%), with many projects touching more than one category.”
As organisations deploy AI agents across cloud, SaaS, and internal workflows, BeyondTrust found that these agents increasingly authenticate to systems, invoke tools, access data, and inherit permissions much like any other enterprise identity – often with far less oversight.
Coordinated Disclosures in OpenAI Codex, AWS Bedrock AgentCore Show the Pattern Isn’t New
Beyond identity relationship mapping, Phantom Labs’ original vulnerability research included coordinated disclosures across AI platforms, including in OpenAI Codex and AWS Bedrock AgentCore — findings that show how even the newest AI ecosystems continue to inherit foundational security assumptions around identity, privilege, and trust. The pattern wasn’t confined to AI. Across all research conducted in year one, AWS (85 mentions), Microsoft Entra ID/Azure (57), GitHub (40), Okta (33), and Salesforce (33) surfaced most often — a sign that these same identity assumptions run through cloud, identity-provider, DevOps, and SaaS ecosystems alike.
Phantom Labs’ research shipped directly into BeyondTrust products, including Identity Security Insights®, published research, and coordinated disclosures, turning the offensive research into protections defenders can act on before privileges are exploited.
To read the full Phantom Labs Research Index, visit: https://www.beyondtrust.com/blog/entry/phantom-labs-research-index
For the latest research, visit the Phantom Labs Research Hub: https://www.beyondtrust.com/channel/phantom-labs
New stand and new solution as Gallagher Security returns to Security Exhibition and Conference
Sydney, Australia – Gallagher Security returns to the Security Exhibition and Conference this year with a new stand experience, and a hands-on look at their new cloud-native Visitor Management Solution.
Security Exhibition and Conference is Australia’s largest security industry event, and Craig Schutte, Executive Vice President for APAC and IMEA is delighted to be returning to the annual expo in its 40th year.
“As Australia’s largest and longest-standing security event, Security Exhibition and Conference gives attendees the opportunity to experience and explore our new solutions and connect face-to-face with our team,” says Craig.
“It brings together the industry from across Australia and gives us a chance to showcase the innovations helping organisations stay secure and future ready.”
Craig says a major feature at this year’s stand is Gallagher’s new cloud native Visitor Management Solution powered by Kenai, which will be showcased through an interactive kiosk so attendees can experience the platform’s capabilities for themselves.
“This is the first time Kenai will be at Security Exhibition and Conference, along with Co-Founder and Chief Executive Officer of Kenai, Rob Salzwedel, and we’re looking forward to sharing how this solution provides organisations a seamless and modern way to manage visitors, staff, and workplace operations,” says Craig.
Kenai is a cloud-based platform that unifies visitor management, employee onboarding, compliance, and workplace access into one seamless experience. Designed to work natively with Gallagher Command Centre, it eliminates fragmented manual processes, strengthens security, and improves efficiency across every site.
“As the exclusive global distributor of Kenai, we are very excited to bring this Visitor Management Solution to our Australian network after strong interest across Gallagher’s global End Users.
“Attendees can also explore some of Gallagher Security’s new product developments, including Command Centre v9.50 and the full release of AccessNow, as well as the F5 and F6 Fence Controllers, and OneLink.
“Gallagher’s Australian team will be joined by Chief Executive, Mark Junge and Chief Product Officer, Josh Arnold, who will be available throughout the event to discuss industry trends and the future of security technology.”
Attendees can also pick up fresh coffee and donuts on Wednesday morning, and orange juice and popcorn on Thursday afternoon at the Gallagher stand.
Gallagher is also set to host its annual Gallagher Security Partner Connect Networking Event on Wednesday 2 September with sponsors Ecos Systems and Traka. The event brings together Channel Partners and Consultants to celebrate another year of industry collaboration.
Held from Wednesday 2 September to Friday 4 September at the International Convention Centre in Sydney, register here for tickets.
Check Point Software Named a Visionary Leader in the 2026 Frost Radar™ for Enterprise Risk Mitigation and Management Platforms
Frost & Sullivan recognises Check Point for closing the loop between threat intelligence, exposure prioritisation, and remediation, helping enterprises move from risk visibility to mitigation and risk reduction
Check Point® Software Technologies Ltd. (NASDAQ: CHKP), a pioneer and global leader of cyber security solutions, today announced that it has been named a Visionary Leader in the Frost Radar™: Enterprise Risk Mitigation and Management Platforms, 2026 report. One of five companies placed in the Visionary Leader category, Check Point earned the highest Growth Index score of the 15 platforms benchmarked. The recognition highlights Check Point’s ability to natively combine attack surface management (ASM), cyber threat intelligence (CTI), and digital risk protection (DRP) in a unified platform with built-in prioritisation and remediation, enabling enterprises to move from risk visibility to measurable risk reduction.
AI-driven attacks are shrinking the window security teams have to close exposure gaps. Check Point’s 2026 Exposure Gap Report found that vulnerabilities more than doubled as a share of critical exposures year over year, rising from 18.7% to 42.6%, and point-solution risk management can no longer keep pace. Frost & Sullivan’s report notes that the market is shifting toward integrated platforms that correlate threat intelligence with exposure data and act on it, not just report on it. Check Point’s approach is intelligence-led and remediation-driven: threat intelligence identifies what is being actively weaponised, exposure prioritisation reflects real risk to the business, and safe remediation fixes the exposures safely using the controls the customer already owns.
“Check Point’s actions reflect a coherent strategy to build the most comprehensive closed-loop ERMM platform, spanning discovery, intelligence, prioritisation, and execution within a single platform architecture,” said Danielle VanZandt, Research Director & Program Manager at Frost & Sullivan. “By integrating mature product lines under a unified platform, Check Point creates a durable competitive differentiator that cannot be easily replicated.”
Frost & Sullivan’s assessment points to four capabilities behind the recognition:
- Threat Intelligence: Combining ThreatCloud AI, large-scale telemetry from millions of enforcement points worldwide, and dark web collection with evidence-driven analytics, Check Point correlates external threats, exposures, security control weaknesses, and threat actor behaviour into a single view, so teams know in real-time which exposures attackers are actively targeting
- Exposure Prioritisation: Check Point enhances asset visibility through internal and external ASM and CAASM capabilities and agentic exposure validation, enabling organisations to identify and prioritise the highest-risk exposures faster
- Safe Remediation: With continued investment and acquisitions, the platform supports teams with fast, safe remediation, using automated safety checks that keep day-to-day operations running without disruption
- Open Garden, Interoperable Architecture: Broad integrations across hundreds of IT and security vendors let organisations put compensating controls they already own to work and get more value from existing security investments
In its growth assessment, Frost & Sullivan wrote that “rather than focusing solely on enterprise risk visibility, Check Point’s growth strategy emphasises measurable risk reduction and operational execution, positioning ERMM as an integrated process that unifies exposure identification, prioritisation, and remediation in a single operational framework.”
“Being named a Visionary Leader validates our strategy of bringing exposure management, threat intelligence, and automated remediation together in a single operational platform,” said Yochai Corem, General Manager of Exposure Management at Check Point Software Technologies. “Organisations don’t just want to understand risk anymore, they want to reduce it continuously. The future of cyber security is mitigating in AI speed, helping security teams prioritise what matters most and remediate exposures safely at enterprise scale.”
Check Point also received Frost & Sullivan’s Best Practices Customer Value Leadership Recognition in the global ERMM platforms industry, further highlighting the company’s strength in security and operational resiliency.
As threat actors increasingly weaponise AI and the time to remediate exposures continues to shrink, Check Point remains committed to advancing trustworthy AI across its Exposure Management and its broader AI Security portfolio. Read more on the Check Point blog and download the complimentary report.
Follow Check Point on LinkedIn, X, Facebook, YouTube and our Corporate Blog.
Commvault Expands Threat Scan with Inline File Hashing for Faster, Cleaner Data Recovery
Commvault has unveiled new inline scanning capabilities that aim to simplify cyber recovery by enabling organisations to quickly determine whether backup data is safe to restore after a cyberattack.
The new capability collects file hashes during backup operations, allowing recovery teams to rapidly compare protected data against known threat intelligence indicators without performing full forensic analysis on every backup.
Because file hashes act as unique digital fingerprints, organisations can efficiently identify compromised files and locate clean recovery points before restoration begins.
Commvault’s layered approach allows customers to begin with rapid threat intelligence validation before selectively performing deeper malware, ransomware and forensic analysis only where additional inspection is required.
The company says this approach reduces the time needed to validate backups while maintaining confidence in the integrity of recovered data.
The inline scanning enhancements also strengthen Commvault’s AI-powered Synthetic Recovery capability, which automatically detects malicious content during recovery and removes infected data while preserving unaffected files.
Rather than restoring an entire compromised backup, organisations can recover only clean data, helping reduce downtime and improve business continuity following a cyber incident.
The new scanning capabilities form part of Commvault’s broader strategy to strengthen cyber resilience through automation, intelligence-driven recovery and AI-powered protection.
Availability is expected in the coming months.
Saviynt Exceeds US $300 Million in ARR and Launches Zuma the Enterprise AI Identity Security Platform
New customer acquisitions grew more than 80% as organidations increasingly adopt new identity security solutions designed for the age of AI
Saviynt, a leading provider of identity security solutions, announced significant business momentum, surpassing US $300 million in annual recurring revenue while growing bookings by more than 80% and maintaining a leading 96% customer retention rate. It also launched Zuma, a complete AI identity security platform that provides organisations with an innovative, agile, and effective solution to adopt, deploy, and scale AI solutions.
Saviynt’s financial achievements reflect the growing demand for modern identity security, especially with the challenges caused by the rapid utilisation of AI. Saviynt developed Zuma after working closely with some of the world’s leading organisations and understanding that AI agents, LLMs, AI-based applications, and non-human identities are multiplying across business functions, yet often without effective oversight. With the launch of Zuma, enterprises can now implement a complete, real-time, intent aware identity security solution purpose built for AI.
“AI is fundamentally changing the identity security equation,” said Sachin Nayyar, CEO of Saviynt. “Enterprises are no longer securing only human users. They are now responsible for AI agents and non-human identities that can decide and access systems at machine speed. Saviynt’s momentum reflects the urgency we are seeing from customers around the world, and Zuma represents a major step forward in helping them embrace AI with confidence and control.”
“Like many large enterprises, we are looking at how to safely scale AI across the business without losing visibility or control,” said Sarita Dsouza, IAM Leader, Cytiva, a Danaher company. “The challenge is that AI agents and non-human identities don’t fit neatly into legacy identity processes. Saviynt is bringing the right pieces together – discovery, ownership, runtime controls, and governance, in a way that maps to how security teams actually need to manage this risk.”
AI moves too rapidly for legacy identity solutions, misapplied cybersecurity applications, and broad IT tools. These infirmities have left enterprises searching for a new approach because the current approaches cannot provide answers to fundamental questions, like:
- Where are all my AI agents?
- Who created these agents?
- What are these agents doing?
- Who is overseeing the actions of these agents?
- What control do we have over the data and applications they access?
Zuma answers these questions by bringing together new, AI-specific capabilities and existing identity best practices into a single unified control plane made up of Zuma Insights, Zuma Access, and Zuma Governance:
- Zuma Insights = Visibility into all identities: Zuma Insights continuously discovers AI agents, LLMs, AI-based applications, and non-human identities across the enterprise. It helps organisations understand what these identities access, who owns them, sees lifecycle changes with a clear timeline view, and understand where risk exists before any gaps become business or financial risks.
- Zuma Access = Protection applied at run-time: Zuma Access evaluates agent intent, context, permissions, and risk at runtime to ensure AI agents are only authorised to perform the actions required for a specific task. It prevents privilege misuse and anomalous activity before it can impact the business.
- Zuma Governance = Accountability for all identities: Zuma Governance establishes ownership, lifecycle controls, policy guardrails, access reviews, and audit-ready evidence for AI agents and non-human identities. This lets organisations close governance gaps on unmanaged or orphaned agents and ensure AI and non-human identities are held to stronger accountability standards than human identities.
“As AI adoption and automation accelerate, enterprise security teams are under increasing pressure to secure both human and non-human identities while enabling the business to adopt AI responsibly,” said Ruchir Swarup, Chief Information Officer at KKR. “Identity has emerged as a vital control point that will define security in the AI era. The organisations that move fastest will be those that give cyber leaders the visibility, governance, and control needed to manage AI-driven risk while supporting innovation and growth.”
“Customers are telling us they need more than another dashboard,” added Nayyar. “They need a control plane that can help them see every AI and non-human identity, govern it with accountability, and protect the business in real time. That is the problem Zuma was built to solve.”
Zuma is available now. Learn more, watch a demo, and start a free trial today.
Ping Identity Verification and Fraud Protection Listed in Epic Toolbox
Advancing secure patient account creation and recovery for MyChart experiences
Ping Identity, a leader in securing digital identities for the world’s largest enterprises, today announced that its patient identity verification and fraud protection capabilities for MyChart are listed in Epic Toolbox.
Healthcare organisations are continuing to modernise patient access experiences while balancing security, privacy, and operational efficiency. Account creation and recovery in MyChart environments require organisations to support seamless patient experiences while incorporating identity verification, fraud detection, and adaptive risk response into digital workflows.
Ping Identity provides patient identity verification combined with real-time fraud and risk detection as a packaged solution for healthcare organisations using MyChart. Powered by dynamic orchestration, these capabilities bring identity verification, fraud and risk detection into MyChart-connected workflows, allowing organisations to automate and secure patient onboarding and account recovery while reducing friction for legitimate users.
The solution includes three core capabilities for MyChart environments that help organizations address these needs:
- Identity Verification: Verify patients during account creation and recovery using government-issued ID, biometric matching, and liveness checks
- Threat and Risk Detection: Detect synthetic identities, account takeover attempts, and suspicious activity using real-time behavioural and environmental signals
- No-Code Orchestration and Dynamic Response: Guide patients through the appropriate account creation or recovery flow in real time, with the ability to allow, challenge, step up, or block interactions based on risk
By enabling healthcare organisations to move beyond static authentication toward continuous, verified trust across patient interactions, the solution helps reduce fraud during account creation and recovery while improving patient access experiences and operational efficiency. The solution works with existing MyChart-connected healthcare systems, helping organisations strengthen security without replacing current infrastructure.
Ping Identity’s identity verification approach is designed to support privacy-preserving standards. It uses minimal data collection and policies that support rapid deletion of Personally Identifiable Information (PII) following identity verification. This supports healthcare organizations’ privacy and compliance objectives, including HIPAA-related requirements.
“Healthcare organisations are being asked to do more with less while protecting increasingly sensitive data,” said Steve Gwizdala, VP Healthcare at Ping Identity. “Ping Identity helps secure patient account creation and recovery connected to MyChart, reducing risk and operational burden without adding friction for patients.”
You can find Ping Identity in Toolbox on Epic Showroom.
For more detailed information, visit the Ping Identity integration page.
Epic and MyChart are registered trademarks of Epic Systems Corporation.
Why Synthetic Data Will Define the Next Phase of AI-Driven Video in Australia
By Jordan Cullis, Milestone Systems
Artificial intelligence is already reshaping how organisations across Australia operate, from transport networks and retail environments through to healthcare and critical infrastructure. However, as adoption accelerates, a less visible challenge is emerging beneath the surface – the availability of high-quality data.
AI systems are only as effective as the data they are trained on. “You are what you eat” as the saying goes. In the world of video analytics, where systems must interpret complex, real-world environments, that requirement becomes even more demanding. Models need vast, diverse and representative datasets to deliver accurate and reliable outcomes. Without them, even the most advanced algorithms are relatively worthless.
For this reason, synthetic data is emerging as a game-changer in the world of video analytics.
The Data Bottleneck Slowing AI Progress
Australia is no stranger to the rapid growth of AI. Organisations are increasingly embedding AI into their operations across all levels to improve decision-making – whether that’s optimising traffic flows, refining retail layouts, or enhancing safety outcomes. Recent stats suggest that data estates have grown by as much as 30 percent in the past 12 months.
Yet many are running into a common constraint – accessing the right data at scale.
Training AI models using real-world video data is not always straightforward. Privacy considerations, regulatory obligations, and practical limitations all play a role. In sectors such as healthcare, aged care and critical infrastructure – all highly relevant in Australia – collecting and using large volumes of real-world footage can raise real ethical and legal concerns.
Especially as regulations such as the updated SOCI Act, and APRA’s CPS 230 and 234 come into effect, administrators are under increasing pressure to maintain safe, secure data and ensure they can protect individual privacy.
There is also the issue of representation. Real-world datasets are often incomplete or biased, reflecting only a subset of possible scenarios. This can lead to gaps in how AI systems are able to actually perform, particularly in edge cases where accuracy matters most. (NEED EXAMPLES HERE)
Synthetic Data as a Strategic Enabler
Synthetic data offers a compelling solution.
Put simply, synthetic data is data which is at least partly artificially-generated, replicating real-world conditions. For video analytics, this means creating simulated environments and scenarios that LLMs and AI models can learn from without relying solely on real footage.
This approach unlocks several advantages.
First, it addresses privacy and compliance challenges. Because synthetic datasets can exclude identifiable individuals, organisations can train AI models without exposing sensitive information, which is an increasingly important consideration as Australia tightens the regulatory frameworks around data protection and operational resilience as mentioned above.
Second, it improves data diversity. Synthetic environments can be designed to include a wide range of scenarios, behaviours and conditions, far beyond what would typically be captured by real-world datasets. This diversity and richness of input data leads to more robust and reliable AI models.
Third, it accelerates development. Synthetic data can be generated quickly and at scale, reducing the time and cost required to build and refine AI systems.
From Theory to Real-World Impact
The real value of synthetic data becomes even more clear when it is applied to safety-critical environments.
Globally, we are already seeing examples where synthetic data is being used to train AI systems to detect incidents such as people falling into waterways – scenarios that are difficult, dangerous or impractical to capture in real life.
By simulating these events, developers can build models that respond faster and more accurately in real-world situations, ultimately improving emergency response outcomes.
In an Australian context, the implications are significant.
From monitoring busy transport hubs to enhancing safety in public spaces and critical infrastructure sites, synthetic data can help organisations prepare for scenarios that may be rare, but have a high impact. It enables a level of readiness that traditional data collection methods simply cannot achieve.
Balancing Innovation with Responsibility
As with any AI advancement, the rise of synthetic data must be managed carefully.
While it definitely helps address many of the challenges associated with real-world data, it also introduces new considerations. Synthetic datasets must be designed thoughtfully to ensure they accurately reflect real-world conditions. Poorly constructed data can lead to flawed models, undermining trust in AI systems.
This is where open platform approaches can play a critical role. By enabling interoperability and transparency, organisations can use synthetic and real-world data sources, validate outcomes, and continuously improve the performance of their AI models.
The Future of Intelligent Video
Looking ahead, synthetic data is set to play a foundational role in the evolution of AI-driven video.
As technologies such as digital twins, edge computing and advanced simulation environments mature, organisations will be able to model entire systems, from city infrastructure to major industrial operations – and train AI against these virtual environments before deploying it in the real world.
For Australia, this presents a major opportunity. With an increasing focus on smart cities, infrastructure resilience and public safety, synthetic data can help accelerate innovation while maintaining the high standards of privacy and governance we now must adhere to locally.
A Defining Moment for AI
The next phase of AI will not be defined solely by algorithms, but by data; how it is created, how it is managed and used.
Synthetic data represents a shift in how organisations think about that challenge. It moves the conversation from limitation to possibility, enabling AI systems that are not only more capable, but also more ethical and scalable.
For those working with video technology, the message is clear: the future of AI will not just be captured, it will also be created.
