🛡️ Security, Governance & Risks

As AI agents gain the ability to take actions (like spending money or deleting files), security has become the #1 concern.

• Predictive Cybersecurity: Traditional "detect and respond" is being replaced by AI Security Platforms (AISPs) that use decoy systems and simulated vulnerabilities to "trap" malicious AI-driven attacks before they reach core data.
  
  
  
• Microsoft’s Agent Governance Toolkit: A new open-source framework released this month to help companies manage "Shadow AI" (unauthorized AI use) and ensure autonomous agents follow the EU AI Act.
  
  
  
• The "Mythos" Controversy: Anthropic’s secret "Project Mythos" leaked this month, showing a model with such advanced cybersecurity capabilities that the company has restricted its release to "Cyber Verification Partners" only, fearing its potential for high-speed automated hacking.
  
  
  

Subbing this thread. Security/governance is the part of AI adoption most companies are sleeping on in 2026 — everyone wants a chatbot on their intranet, nobody wants to fund red-teaming it, model-output monitoring, or incident response playbooks for when it goes wrong. When the first big enterprise AI breach hits (and it will), everyone will suddenly pretend this was a top priority all along.