AI-generated code
Built with AI in days. Secure before it ships.
Coding agents write features faster than anyone can review them. Sentrasec puts security checks inside that loop, so the code your agent writes is scanned, triaged and fixed before it reaches production.
Speed moved. Review did not.
A coding agent can produce in an afternoon what a team used to write in a sprint. It also produces the same classes of weakness people do: injection paths, credentials pasted into config, dependencies added without anyone checking their history, and infrastructure defaults copied from an example.
The difference is volume. When most of a codebase is written by an agent, a security review at the end of the project arrives too late and has too much to read. Findings pile up behind the release, and the fix becomes a rewrite.
The answer is not to slow the agent down. It is to give the agent the same security feedback a senior reviewer would, while it is still working on the change.
What Sentrasec does in the loop
The same scanners and the same triage, wherever the code is being written.
Scans from inside the agent
Over MCP, Claude Code, Cursor and other MCP clients can scan a local directory or a registered app, list the findings and read each one in full, without leaving the editor.
Triage before the fix
Each finding is checked against evidence in your project: whether the code is reachable, whether attacker-controlled input gets there, and whether it ships at all. Your agent spends its effort on what needs action.
A plan, not a guess
For findings that need action, Sentrasec writes a remediation plan and a test plan: where to change, the constraints, the tests that prove it, and the definition of done. Your agent makes the change.
Verified after the push
Once the change is pushed, the agent asks Sentrasec to re-scan that commit and check the test plan against it. The finding closes on evidence, not on a claim that it was fixed.
How it works, step by step
01
Connect your agent
Add the Sentrasec MCP server to your coding agent, or install the CLI for your terminal and CI.
02
Scan as you build
The agent scans its own changes. The CLI runs the same checks before a push and in your pipeline.
03
Fix from the plan
Findings that need action arrive with a remediation plan and test plan the agent can carry out.
04
Prove it
A re-scan of the fix commit confirms the result and is kept as evidence for your audits.
What it does not do
- Remediation plans contain no code and no diff. Your agent writes the change and a person reviews it.
- Sentrasec checks the code your agent writes; it does not review the prompts or the model behind the agent.
- A clean scan is a statement about the checks that ran, not a guarantee that the product has no vulnerabilities.
Questions
Is AI-generated code less secure than code written by people?
It contains the same kinds of weakness. What changes is the volume and the speed, which is why the checks need to run while the code is written rather than in a review at the end.
Which coding agents does Sentrasec work with?
Any agent that supports the Model Context Protocol, including Claude Code and Cursor. The CLI covers terminals and CI pipelines.
Does Sentrasec change my code?
No. It writes the remediation plan and test plan; your coding agent makes the change in your repository, and a person reviews it.
See it on your own code
Bring a repository or a release you are about to ship. We will scan it, triage the findings and show you where it stands for security and compliance.
Vulnerability triage →Sentrasec for AI coding agents →MCP setup →
