Governing AI Agents: From Enterprise Risk to Strategic Asset

The article discusses the rapid adoption of AI agents in enterprises and the urgent need for robust governance to manage security risks. It emphasizes clear ownership, automatic discovery, and centralized guardrails to prevent ungoverned agents from creating vulnerabilities, and highlights the strategic role of identity governance in securing AI agents.
#MattFangman #AIagents #IdentityGovernance #SailPoint #Microsoft

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Continuous Feedback Loops: Why Training Your AI-SOC Doesn’t Stop at Deployment

Two sentences summarize the shift from pre-trained AI-SOC to continuously learning, analyst-driven AI that evolves with local context. The article outlines how feedback loops, transparency, usability, and measurable metrics transform SOCs into adaptive, explainable systems that reduce false positives and improve detection and response.
#ShaharBenHador #RadiantSecurity

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What Happens to MSSPs and MDRs in the Age of the AI-SOC?

AI-SOC platforms automate triage, correlation, and enrichment to handle large alert volumes, enabling machine-speed operations and a sustainable hybrid SOC with human oversight. The article argues for a co-managed transition where AI handles scale and speed while humans provide context, accountability, and ROI-focused paths for MSSPs and MDRs. #RadiantSecurity #AI_SOC #MSSP #MDR #PagerDuty

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