A June 2026 arxiv paper demonstrates that model extraction attacks have a detectable semantic signature in API traffic — and that simple statistical detection outperforms complex filtering approaches.
Practical architectures, frameworks, and controls to secure AI systems in production.
A June 2026 arxiv paper demonstrates that model extraction attacks have a detectable semantic signature in API traffic — and that simple statistical detection outperforms complex filtering approaches.
AI agents generate a new class of security event that existing SIEM infrastructure was not designed to process. DeepMind's June 2026 control roadmap, OWASP's Agentic Top 10, and the EU AI Act's August logging deadline all converge on the same problem: security teams cannot monitor what they are not capturing.
AI prompt injection attack vectors — direct injection, indirect via tool outputs, multi-turn manipulation — with observed real-world attacks and a layered defensive stack.
The OWASP Top 10 for LLM Applications (v2.0): each vulnerability class, real-world observed attacks, and defensive controls for enterprise AI teams.
The NSA AISC's May 2026 CIS on MCP security: authentication gaps, tool poisoning via unsigned dynamic discovery, session-identity binding failures, and compensating controls.