Anthropic's Zero Trust for AI Agents whitepaper says what we've been saying since day one: the threat is access, not the prompt. Five takeaways that matter most - and where Act fits each one.

Giving probabilistic AI systems direct execution privileges in production without strict controls introduces automated uncertainty into your most critical environments.

We're handing autonomous AI agents database credentials, API tokens, and deployment privileges without the guardrails needed to control them. It�s the ultimate "move fast and break things" scenario, but the things breaking are your data and security.

Most cloud breaches don't happen because of some genius zero-day. They happen because of excessive access that nobody got around to fixing - over-permissive policies, old vendor access, and wide-open backups sitting in plain sight.

Within minutes of gaining access, an attacker can build a clearer picture of your cloud than many security tools can. While identity systems see a routine login, attackers are already navigating hidden access paths at machine speed.

Imagine discovering a hidden corridor in your house that never appeared on the blueprint. Interesting at home. Terrifying in the cloud. Static diagrams don't reveal how access actually works - and attackers know the difference.

Prompt injection, poisoned training data, AI use policies, agent manipulation... AI security has quickly become a massive terminology scramble. But here is one simple fact: your AI is only as secure as the infrastructure that powers it.

Every cloud has "unlocked doors" - dormant, over-privileged access. Finding it once required time, expertise, and persistence. Today, AI can identify and exploit those paths in minutes.

The way we ran cloud security for the past decade just stopped working. When findings pile up faster than any team can clear them, visibility isn't enough anymore.