The 19th ACM Workshop on Artificial Intelligence and Security takes place November 15 alongside ACM CCS in The Hague. It covers adversarial ML, model privacy, AI misuse, foundation-model red teaming, dangerous-capability evaluation, deceptive alignment, multi-agent risk, and autonomous-agent containment; the same workshop day also includes AGENT-SEC, LAMPS, and 3D-Sec.
ACM AISec 2026
Related research
More curated notes connected through Adversarial ML and AI Red Teaming.
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.
Cybersecurity in the Intelligence Age
OpenAI proposes a five-pillar strategy for AI-enabled cyber defense: tiered access for trusted defenders, faster government-industry coordination, stronger protection of frontier models and infrastructure, risk-scaled deployment monitoring, and broader defensive support for individuals and small organizations.
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.