AI agents are evolving fast. We’ve already moved beyond simple chatbots into systems that can: write and deploy code, manage infrastructure, browse the web, interact with APIs, automate workflows, and even make decisions with minimal human involvement. The next phase is fully autonomous AI environments — ecosystems where multiple AI agents collaborate, execute tasks, and operate continuously. That future is exciting. It’s also a massive security and privacy challenge. The Shift From Tools to Autonomous Actors Traditional software waits for user input. AI agents don’t. Modern agents can: observe context, reason about tasks, take actions, and adapt dynamically. An AI coding agent today might: read tickets, generate code, run tests, deploy changes, monitor logs, and open follow-up fixes automatically. That level of autonomy changes the security model entirely. We’re no longer securing just applications. We’re securing decision-making systems. Why This Changes Cybersecurity 1.…