The questions every security team has to answer.
Use cases
01 Agentic attack chains
Where could an attacker chain your agents together?
Trent finds the attack chains that only exist between your agents, tools, and services, the ones no single team review can see, and tells you exactly what to change to break each one. Trent also holds every agent, and every line an AI coding tool writes, to the same security bar as the rest of your software.
Read more02 Noise to signal
Which of these hundreds do I actually fix?
Your security tools raise hundreds of findings. Most are not exploitable in your environment, but someone still has to prove that, one by one. Trent finds by itself the vulnerabilities that matter, and works with the security tools your organization already relies on, to judge every finding against how your system actually runs. You are shown the few vulnerabilities an attacker could use, with the evidence.
Read more03 Autonomous remediation, controlled accountability
Can our most urgent findings get fixed without waiting on humans?
Yes. Trent works out which findings can be fixed safely in code, checks with you once, and from then on guides your coding agents to fix that kind of finding and verifies the result. No fixes hidden in the dark. The findings that need human attention, Trent brings to you proactively, with the context and a recommended decision. Once you decide, anything that can be implemented in code goes back into the autonomous remediation loop.
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