Your findings. Your fixes. Your call.
AppSecAI turns your scanner findings into validated, tested fixes your team delivers as pull requests without waiting on developers.
Your team stops being the function that reports risk and becomes the team that retires it.
Each finding is processed and delivered on its own.
Related findings are bundled into single PRs to reduce review noise.
Groups semantically related findings across files and vulnerability types.
Groups findings of the same CWE type within each file.
Bundles all findings in the same file into one pull request.
Bundles findings by containing directory or module.
What your week looks like when you own the fix.
The average application gains 17 findings a month and fixes 6. You have been losing 11 a month by design, not by effort.
Your expertise, at portfolio scale.
The dial only turns when you turn it
Policy is set per vulnerability class and per application. A class you have never seen stays at human validation until you change the policy.
It learns your codebase, from you
Your triage decisions, your review outcomes, and every validation result feed back into future runs. The standard the system applies is the one your team set.
The audit trail is your evidence
Every fix carries an evidence chain: the finding it closed, how it was validated, who approved it. That is a record you hand an auditor, not a record of your team.
The team that runs fix automation stops being the function that files tickets and becomes the function developers thank.
Developers change nothing. That’s the pitch.
No new tool. No agent in the IDE. No security tickets in the sprint. Fixes that need a developer’s eyes arrive as an ordinary pull request with the code written and the tests passing and the rest never reach them at all.
“You’ll get pull requests from my team with the fix already written and tested. Review them like any other PR, or let CI merge the classes we agree are safe.”
The proof you would check yourself.
Proof you can rerun
97% triage accuracy and 93% fix accuracy, published on the OWASP Benchmark with thousands of examples you can clone and rerun.
See the benchmark →Taama: 48 hours, no security expertise
Taama had no security specialist on the team. Findings were coming back as fixes inside 48 hours of install, on the scanners they already ran.
Read the customer story →Frequently asked questions
What do I have to learn?
The console, in an afternoon. There is no query language to learn, no rules to author, and no model to tune. If you would rather not use the console at all, drive it from the API or from Git.
Can I keep my scanners?
Keep all of them. Findings arrive from every scanner you already run, and two scanners reporting the same flaw differently become one finding and one fix. There is nothing to rip out. New scanners appear every week you can add those too, and their findings join the same queue.
Who approves fixes at merge-on-green?
You do. Approval never goes away — it moves up, from the pull request to the policy. A class reaches merge on green only after you promote it, every merge is logged with the policy that authorized it, and you can turn the dial back down at any time. AppSecAI has read-only access; the merge happens in your pipeline, under your branch protection rules.
Bring the finding nobody will touch.
A working session on your codebase, with your scanners. You pay for the fixes you keep and nothing for the ones you reject.