The OWASP LLM Top 10 has a few surprises for you
The discussion analyzes emerging risks in AI security, highlighting a shift from focusing solely on prompt manipulation to addressing 'Excessive Agency'—the actions an autonomous system can perform. Key takeaways include the need for robust identity controls (least privilege, segmentation) when dealing with agentic systems and the necessity of operationalizing supply chain data via CISA's updated SBOM guidance. Experts emphasize that security must be built around AI models to ensure resilience when they inevitably fail.
Key takeaways
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Shift in AI Risk Focus: Agency over Injection
20:55
The primary concern is shifting from manipulating what the AI says (prompt injection) to controlling what it actually does (excessive agency). Agents are viewed as privileged accounts that require strict identity and access controls.
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OWASP List for Tabletop Exercises
21:05
Instead of treating the OWASP LLM Top 10 list as a compliance checklist, panelists recommend using it as a framework for tabletop exercises to test detection, containment, and reconstruction capabilities during an attack.
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Operationalizing SBOM Data
21:45
CISA's updated SBOM guidance (2026 minimum elements) must move beyond being a compliance artifact. Organizations must integrate SBOM data with vulnerability/exposure management to determine *where* and *how* critical components are exposed in real-time, rather than just cataloging them.
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AI Agents as the New Attack Surface
The risk is no longer limited to software vulnerabilities; AI agents themselves constitute a new attack surface. Threat actors can exploit an agent's granted authority (e.g., via malicious calendar invites) through techniques like 'Intent Collusion.'
