Security that keeps up with your agents.
Prove the attack.Apply the smallest safeguard.Prove the agent's work still runs.
Continuous AI agent security at machine speed
Four steps, one screen.
Where authority can travel.
Armorer reads the agent where it lives and returns the paths its authority can actually travel.
Your source code
Team-owned
Source stays here
Synthetic inputs · explicit checks
“You told me its job. I found what else it reaches.”
Untrusted input
AI agent
Customer data
Outbound tool
Privileged tool
Real action
“I have a list. I start with the worst outcome.”
Proven attack
Replayable
Action
“I build the smallest safeguard, then test it both ways.”
Attacker
Tries a new route
Verified action boundary
Context checked here
Action
Decision gated
Unsafe action blocked
Missing verified approval · evidence preserved
“I sit where output becomes action, and I stay there.”
A risk question becomes a decision.
“We had an agent we weren't comfortable giving more access to. Armorer showed us how it could be abused. It stopped being a debate about opinions.”
“My worry with a security safeguard is that it quietly breaks something a customer depends on. Armorer made that a test, not an assumption.”
Tell us what your agent is supposed to do.
We'll show you how it can go wrong, fix it, and prove the work still runs.