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.
Approach
Fully automatic: Trent identifies the findings that can be fixed without a person and confirms the category with you once.
For each one, it hands Claude, or the coding agent you use, the exact instructions. The agent prepares the pull request and pushes it to GitHub. Trent reviews it for security, and you approve it or let your CI/CD workflow approve it automatically. Once it is merged and the system is updated, Trent runs a full review again to verify the fix. Semi-automatic: you pick a set of findings and start a remediation loop in your coding agent, which pulls Trent's tasks over MCP and opens pull requests for your review. Manual: Trent raises a ticket in Linear or Jira with exact remediation instructions. In every path Trent works with your agents and your credentials. And between fixes, Trent stays available as a security engineer any team can ask in Slack, a ticket, or the IDE, so the advice arrives while a decision is still open, and fewer findings get written in the first place.
Why us
Trent lets you remediate the routine findings automatically, so your engineers spend their time on the ones that need human attention.
A fix plan from another tool still leaves your team to write the code, check it worked and get it merged. Trent carries the finding through to a verified fix, and on CWE-Bench it finds the right file to fix three times as often as raw Claude Code.
What you get
Fixes closed with verification evidence, an audit trail you didn't have to build, and your decisions on the important findings carried straight back into the loop.
The median organization takes 43 days to fix a known exploited vulnerability (Verizon DBIR 2026). Trent shortens that to hours.
Customer example
A growing software company with a lean security team put it plainly: "Attacks are fully autonomous. I need solutions that fix some vulnerabilities the same way, quickly."
They let Trent run the automatic loop on the finding types it had cleared with them. Trent handed each one to Claude with the fix instructions, Claude prepared the pull request, Trent reviewed it for security, and after the merge Trent ran a full review to confirm the attack path was gone. For everything else, a developer opened Claude Code, typed /trent-loop and worked through the remaining findings, with the pull requests coming back for review. One working session instead of the 43-day industry median, and nobody had to become a security expert to do it.