Agentic AI meets the SOC: Radware’s AI SOC Xpert shows where security operations are heading

Introduction

Security Operations Centres (SOCs) have long been burdened by manual investigation workflows, siloed tools and alert fatigue. The latest enhancements to Radware’s AI SOC Xpert illustrate a shift: SOCs are becoming assisted by “agentic AI” platforms systems that don’t just alert, but actively investigate, summarise and recommend or enact responses.

What is “agentic AI” in the SOC context?

• Rather than simply flagging events, an agentic AI system acts with initiative: ingesting data, building timelines, analysing root-cause, recommending actions and enabling enforcement.

• Radware’s EPIC-AI engine underpins this capability, supporting investigative automation and remediation workflows.

• This marks a substantial progression from “assistive AI” (helping humans) to “agentic AI” (working alongside or on behalf of humans) in security operations.

Key trends mirrored in this release

1. Unified visibility: Bots, applications, on-prem and cloud DDoS all visible in a single platform. Standardising across surfaces matters.

2. Rapid root-cause & timeline: Rather than manually correlating logs and switching between dashboards, analysts receive contextual summaries within minutes.

3. Pre-attack and peacetime modelling: The notion of profiling normal traffic to anticipate abnormal behaviour adds a proactive dimension.

4. Automation of response: From AI-driven tuning of policies to one-click enforcement, SOC automation is central.

5. MTTR compression: The goal of reducing Mean Time To Resolution by orders of magnitude is now front and centre in SOC strategy.

Opportunity & caution

Opportunity:

• SOCs can scale more effectively: smaller teams, greater coverage, faster response.

• Better business alignment: security operations become accelerators, not blockers.

• Competitive advantage: organisations with faster incident-handling and automation may gain trust and resilience.

Caution:

• AI is only as good as the data and context it receives. Poor input or lack of integration may hamper effectiveness.

• The “agentic” element introduces governance and oversight questions: how much control is given to automation? Are there safe-guards?

• Vendor claims (e.g., 20× MTTR reduction) must be validated in real-world deployments. Organisations must benchmark for themselves.

What to watch in coming months

• Real customer case studies demonstrating the actual MTTR reduction, bot-attack remediation and SOC efficiency gains.

• Integration breadth: how well the platform supports legacy tools, telemetry sources and hybrid environments.

• Automation maturity: how organisations adopt one-click enforcement, automated tuning and policy workflows while maintaining oversight.

• False positive and policy-tuning performance: distinguishing legitimate automation from malicious bots remains a complicated challenge.

Conclusion

Radware’s enhanced AI SOC Xpert paints a clear picture of where security operations are heading: toward intelligent, automated, proactive systems that augment analysts, compress resolution times, and span multiple attack surfaces. For SOC leaders, analysts and technology strategists, this release is a signal: the era of manual-only SOC operations is evolving, and the future lies in agentic, AI-driven defence.