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Cloud Security Alliance · Event date October 28, 2026 - October 29, 2026

CSA Agentic AI Security Summit 2026

event upcoming Agent SecurityAI ComplianceAI Engineering
Why it matters
October 28, 2026 - October 29, 2026
Scheduled event

Cloud Security Alliance's free two-day virtual summit focuses on securing autonomous AI systems at enterprise scale. The program is framed around multi-agent risk, governance, and the controls needed to establish trust across the agentic stack.

My takeaway: Translate reference architectures into enforceable boundaries: per-agent identity, short-lived credentials, capability-scoped authorization, tool and data policy, tamper-evident audit trails, human escalation, and revocation. Treat control-framework mappings as hypotheses until validated against adversarial workflows and incident scenarios.
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More curated notes connected through Agent Security and AI Compliance.

OpenAI News · framework

OpenAI’s Frontier Governance Framework

OpenAI's 22-page Frontier Governance Framework maps its frontier-model processes to California's Transparency in Frontier AI Act and the EU AI Act's general-purpose AI code. It documents lifecycle risk assessment, cyber-offense and other risk tiers, mitigation and residual-risk decisions, critical-incident handling, security risk management, model reporting, external review, responsibility allocation, and change control.

OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.

OECD.AI Wonk · guide

A five-step roadmap to closing the AI evaluation gap

The roadmap addresses evaluation results that overstate real-world performance or fail to transfer across deployment contexts. Its five steps balance standardized and local tests, evaluate throughout the lifecycle, build qualified assurance and communication capacity, tailor tests to each value-chain actor and technology, and use a coordinated, trusted process for updating methods.