ACM AISec · Event date November 15, 2026 - November 19, 2026

ACM AISec 2026

Why it matters
November 15, 2026 - November 19, 2026
Scheduled event

The 19th ACM Workshop on Artificial Intelligence and Security is co-located with ACM CCS in The Hague and covers adversarial ML, model privacy, AI misuse, foundation-model red teaming, dangerous-capability evaluation, deceptive alignment, multi-agent risk, and autonomous-agent containment. Organizers have not yet assigned the workshop's exact day within the November 15–19 conference window.

My takeaway: AISec is a high-value research pipeline because accepted work must state its threat model and is published archivally. Revisit the entry when the program appears, prioritize papers with released artifacts and adaptive attackers, and record the exact workshop date before presenting the parent-conference range as settled.
Keep exploring

More curated notes connected through Adversarial ML and AI Red Teaming.

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.

OWASP GenAI Security Project · tool

FinBot CTF Is Live: A Hands-On Companion to the OWASP GenAI Security Project

OWASP FinBot is a hands-on agentic-security CTF built around a simulated multi-agent financial-services platform with real tool access. Its challenges cover prompt injection, tool misuse, policy bypass, data exfiltration, privilege escalation, remote code execution, shared context, and compromised MCP servers.

Google Cloud Security Blog · tool

Now in preview: Find and fix software vulnerabilities with CodeMender

Google opened a preview of CodeMender, an AI code-security agent delivered through Gemini Enterprise Agent Platform and AI Threat Defense. It is designed to inspect code, identify and validate potentially exploitable defects, and produce targeted fixes, with Google’s specialized Gemini 3.5 Flash Cyber model initially restricted to governments and trusted partners.