How is this different from a traditional pentest?

A traditional pentest is a person, booked weeks out, testing a single snapshot of your app. Parameter runs autonomous agents on demand, and on every release, with comparable depth, delivered the same day.

How fast are results?

Sentinel reviews each pull request the moment it opens, so findings land as comments in the PR within minutes, not days. You see them in the same flow where you're already working, before anything merges.

Can I use the report for compliance?

Yes. Every review is recorded (what was found, where, and how it was resolved), giving you an audit trail of your security posture over time that you can share with auditors and customers.

Do you need access to my source code?

Sentinel reads the changes in each pull request to review them, so it connects through your existing Git provider. It only looks at what it needs to review the diff, and nothing leaves your review flow.

How do you avoid false positives?

Sentinel reasons about each change in the context of the surrounding code, so it flags issues that are actually exploitable rather than pattern-matching on keywords. It comments only where it matters, keeping the signal high.

What kinds of issues can it find?

It catches common vulnerability classes (injection, broken access control, authentication gaps, and unsafe handling of secrets or user input), along with logic flaws introduced by a change. Because it reviews every PR, it catches them before they reach production.

Is it safe to run against production?

Sentinel reviews code in the pull request before it merges, so it never touches your running systems. It reads and comments on changes; it doesn't execute your application or send traffic to live environments.

How is Sentinel different from other AI code review tools?

Most AI code review tools are linters with an LLM wrapper that pattern-match on keywords and comment on style. Sentinel focuses on exploitable vulnerabilities: it traces execution paths and checks the surrounding code to flag only issues an attacker can reach, and includes a working proof of concept with every finding, keeping false positives under 1%.

What languages and frameworks does Sentinel support?

Sentinel reviews code across JavaScript, TypeScript, Python, Go, Java, Kotlin, Rust, Ruby, and PHP, and understands the common frameworks and libraries in each for context-aware analysis. If your codebase uses something not listed, reach out; coverage expands as the platform evolves.

Can Sentinel handle large codebases or monorepos?

Yes. Sentinel reviews the diff and the execution paths it touches, not the entire codebase on every pull request, so review times stay fast in large monorepos with millions of lines of code.

Does Sentinel integrate with Jira, Linear, or other ticketing systems?

Sentinel posts findings as inline comments on the pull request in your Git provider, and you can create a Jira or Linear ticket from a comment to track remediation separately. A findings dashboard also lets you assign, prioritize, and track vulnerabilities across every connected repository.

Parameter Platform

A red team that never stops.

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Real vulnerabilities, found and proven.

/ Cloud security

Cloud misconfigs, caught continuously.

/ Supply chain

Only the reachable dependency risks.

/ sentinel

Vulnerabilities caught before they merge.

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Research, writeups, and product news.

/ Videos

Short explainers on security fundamentals.

/ Security

How we secure the agents and your data.

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Sentinel

Bot

reviewed just now

src/api/users.ts

330 const id = req.params.id

331+const user = await db.users.findById(id)

332+return res.json(user)

High

Broken access control

Any authenticated user can read another user's record by changing the id. Check ownership before returning user data.

confidence 92%

fixed in 95b064a4

Backed by Y Combinator

Review every PRbefore it's merged.

Sentinel reviews each pull request the moment it opens and flags exploitable vulnerabilities as inline comments. Works with GitHub, GitLab, and Bitbucket Cloud.

10,000+

PRs reviewed every day

<1%

false positives

Minutes

to first comment

Built by the team that secured:

[ how it works ]

How AI code review worksin your pull requests.

Connect

Connect GitHub, GitLab, or Bitbucket Cloud and choose the repositories you want reviewed. Sentinel picks up every new pull request from there.

Analyze

Sentinel reads the diff, the surrounding code, and the execution paths it touches to find vulnerabilities an attacker could exploit.

Review

Sentinel posts each finding as an inline comment on the pull request. Developer replies feed back into future reviews and cut false positives.

[ coverage ]

Focused on the vulnerabilitiesthat matter most

Sentinel focuses on exploitable application security issues that put your systems and data at risk, not code style or best practices.

Authentication bypass

Broken access control

IDOR (Insecure Direct Object Reference)

Business logic flaws

Injection vulnerabilities

Server-Side Request Forgery (SSRF)

Leaked secrets

Unsafe handling of user input

[ why parameter ]

The signal.Not the noise.

Most tools dump every advisory in your tree and call it coverage. Parameter raises only what an attacker can reach, and ships the fix with it.

Understands your code

Sentinel follows execution paths beyond the diff to catch vulnerabilities that only appear in the context of your application.

Comments where it matters

Findings land directly on the pull request, so developers can fix issues without leaving their workflow.

Improves with every review

Feedback from your developers becomes reusable Rules that teach Sentinel your codebase and improve its next review.

[ at scale ]

Over 10,000 PRs reviewedevery day

Sentinel follows every finding from first comment to fix. Here's the last 30 days across the repositories it watches.

Resolution activity

Last 30 days

30d

90d

PRs reviewed

312,940

Vulnerabilities caught

9,417

Found

Resolved

[ definition ]

What is AI code review?

AI code review is the automated analysis of pull requests for security vulnerabilities before they merge. Parameter's Sentinel agent reviews every pull request on GitHub, GitLab, and Bitbucket, tracing execution paths and the surrounding code to flag exploitable issues such as broken access control, IDOR, injection, and authentication bypass, rather than pattern-matching on keywords. Findings land as inline PR comments with fix guidance, in the same place developers already review code.