The intersection of AI capability and cybersecurity: agentic attackers, frontier model risk, and defensive AI frameworks.
Mythos-class AI went from withheld to publicly available in nine weeks. Discovery now runs at machine speed; remediation does not. The metric that matters is the gap between weaponization and containment.
AI coding tools create bidirectional supply chain risk. The axios trojan and Claude Code leak hit the same day. Most security teams are not watching.
AI models that exploit vulnerabilities autonomously are here. Mythos and real-world LLM operations with 27-second breakout times demand a new threat model.
Browser AI assistants create high-value attack surfaces. The Chrome Gemini hijack shows why enterprises must rethink endpoint security for embedded AI.
Only 29% of organizations are prepared to secure AI agent deployments. A six-domain framework for deploying agents with controls mapped to ISO 27001 and DORA.
Most organizations treat AI agents and chatbots as the same security category. They are fundamentally different - and chatbot controls are not enough.
AI agent adoption is outpacing security infrastructure. Only 14.4% of deployed agents went live with full security approval. A present risk boards are missing.