Top 5 Greptile alternatives

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Greptile is an AI code review tool. It comments on pull requests using a graph of the whole repository as context, can review a local branch against the default branch, and suggests code changes in its comments, with a Fix with your Agent option. Its TREX agent can also test a pull request end to end in a sandbox.

Security review is part of every review, on every plan. It combines Opengrep rules, dependency CVE checks and an AI security agent on each pull request. Greptile is billed in prepaid credits at $1 each, with no seat or repository fees: a review costs 1, 3 or 10 credits depending on its tier, and a TREX run adds 3. The free Starter plan covers one active developer with 50 credits a month, public open-source repositories can use it for free, and self-hosting is part of Enterprise.

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Greptile is a capable reviewer for everyday pull requests, but teams that want deeper security testing usually start looking elsewhere for one of three reasons.

1. It reviews changes rather than the whole codebase. Greptile uses the whole repository as context, but what it reviews is a pull request or a branch. It does not offer a scan of a whole repository, so flaws already sitting in code that no new change touches may not come up in a review. Teams that want a full security audit of their application need another tool for it.

2. It does not test the running application. Greptile reviews code and does not run tests against live applications. TREX runs functional tests of a pull request in a sandbox, not security tests, and review comments explain an issue without a script that exploits it. Teams that want findings proven against their running application, or a check that a fix still holds after it ships, have to add a separate tool.

3. Some security tooling is outside its scope. Greptile has no dedicated secrets scanner and lists no IaC scanner; exposed credentials depend on the AI review or a custom rule. Its Jira and Linear integrations give the reviewer read-only context, so findings do not flow into your tracker as tickets. Teams that need those pieces usually run a security tool alongside it.

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Here is how the leading alternatives compare, starting with the one we build.

#1 AISafe Labs

AISafe Labs is an application security platform that uses AI agents to test your code and your running application the way an attacker would. It runs code audits, black-box and white-box pentests, pull request reviews and continuous monitoring from one place, and its free plan includes a full SAST suite.

Where Greptile reviews each pull request for quality and correctness, with security as one part of that review, AISafe Labs is built for security from the start. A Code Audit covers the whole codebase at once: its agents build a model of your codebase and trace user input from where it enters to where it reaches a sensitive operation, so they can find flaws that depend on how your application is meant to behave, such as broken access control between teams and business-logic errors. A separate triage pass then confirms each finding, merges duplicates that share a root cause and shows its reasoning.

Key features

• Code Audit: AI agents review the whole repository and report evidence-backed findings with exact code locations, the path user input takes, and remediation guidance.
• Code Scan, free: SAST, AI SAST, dependency scanning, secrets detection, licence risk and IaC scanning on the free Basic plan, with no card required.
• Black-box and white-box pentests: agents probe your live application over HTTP and in a browser, and white-box tests combine source access with live confirmation, so findings come with evidence you can replay.
• Pull request security review: every pull request is reviewed for security defects, using what earlier audits learned about the project.
• Endpoint monitoring: AISafe re-runs the proof of each fixed finding against your live application on a schedule and alerts you when a fix regresses.
• Fix verification (beta): check a patched source revision against the original finding before you deploy it.
• Built for coding agents: findings, remediation guidance and fix verification are available through the AISafe API, so your own coding agent can read a finding, write the patch and start the verification itself.
• Fits your workflow: export findings to Jira or Linear, get alerts in Slack or Teams, and run AISafe on your own infrastructure if you need to.

Why AISafe Labs stands out as a Greptile alternative

• It audits the whole codebase. A Code Audit reviews the entire repository, including code no recent pull request has touched, and the free Basic plan adds secrets detection and IaC scanning to the SAST suite.
• It proves findings on the live application. Pentests confirm issues against your running application with evidence you can replay, so your team spends its time fixing instead of triaging.
• It keeps watching after the fix. Fix verification checks a patch before you deploy it, and endpoint monitoring re-runs each proof against your live application and alerts you when a fix regresses.

Pricing

The Basic plan is free and includes the full SAST suite. Pro starts at $40 a month and includes the same number of credits, which pay for code audits, pentests and continuous work; the price of a code audit depends on the size of the codebase and is shown before you start.

Ideal for: Teams that want more than a scanner: engineering and security teams that need to find logic and access-control flaws, test the running application, and close the loop from finding to verified fix, without moving to an enterprise contract.

#2 CodeRabbit

CodeRabbit is an AI code review tool that comments on pull requests, in the IDE and in the CLI. It runs linters and security scanners such as Semgrep, Betterleaks and Checkov and uses their results as input to the model.

CodeRabbit Security adds dedicated pull request security review on the Advanced plan, at $90 per developer a month, and Deep Scan, a usage-billed scan of a whole repository for exploitable vulnerabilities and exposed secrets. It reviews code rather than live applications.

Key features

• AI review of every pull request, plus reviews in the IDE and CLI
• Results from Semgrep, OSV-Scanner, Betterleaks, Checkov and Trivy as input to the review
• Deep Scan of a whole repository, billed separately in credits
• Fix with AI, which opens a pull request
• Sandbox runs that reproduce findings, in beta on GitHub
• Jira and Linear integration from the Essentials plan

Ideal for: Teams that want an AI reviewer on every pull request with secrets and IaC scanners feeding the review, and a whole-repository scan when they need one.

#3 Hacktron

Hacktron is an AI security platform with three products. Review checks each pull request for exploitable vulnerabilities, Whitebox runs AI pentests from source code with optional testing of the deployed application, and Red is continuous red teaming of a whole organisation. Researchers validate Whitebox and Red findings.

Key features

• Pull request review from $40 per developer a month, free for qualifying open-source repositories
• Whitebox pentests priced by lines of code, about $500 per 100,000 lines, with one free retest
• Proof for each Whitebox and Red finding
• Tested fix pull requests, paid in automation credits
• Two-way Jira and Linear sync
• An on-premises edition on the Enterprise plan

Ideal for: Teams that want AI pentests of their code with findings validated by researchers, and are comfortable paying per pentest by codebase size.

#4 Vercel Security Review

Vercel Security Review is a Vercel Agent feature, in public beta on the Pro and Enterprise plans. It reviews the code changed in each push to a connected GitHub repository and reports vulnerabilities to a dashboard, GitHub checks and pull request comments, and Vercel Agent can then open a pull request with a fix.

Key features

• A review of every push, with comments on private pull requests
• A full source review on the first run, then reviews of changes
• Flags credential exposure in the changed code
• A description of how each issue could be exploited
• Fix pull requests opened by Vercel Agent
• Billed by the tokens each review uses, on top of Pro seats at $20 per developer a month

Ideal for: Teams that deploy on Vercel and want security review inside the workflow they already use, with findings tied to each change.

#5 Claude Security

Claude Security is Anthropic's set of code security tools. The /security-review command in Claude Code makes a single pass over a branch, and the Claude Security plugin runs a multi-agent scan of a whole codebase or a diff and writes reviewed patches. A hosted service, in beta for Claude Enterprise, rescans connected repositories as code changes.

Key features

• Multi-agent scans of a whole repository, with findings checked by independent verifier agents
• Reviewed patches, and Claude can open a pull request with the fix
• On-demand scans of a pull request diff through the plugin
• A written attack path for each finding
• The plugin runs locally, while the models stay hosted
• Webhooks and an API for findings in the Enterprise beta

Ideal for: Teams that already pay for Claude and want a whole-repository security review inside that subscription. Anthropic's docs suggest keeping your dependency scanners alongside it.

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The right choice depends on what you need your security tooling to catch and how your team works. When you compare options, check:

• Whether you need a code reviewer, a security tool or both. A general AI reviewer helps with quality and correctness on every change. A dedicated security tool goes deeper on vulnerabilities. Many teams run one of each.
• Whether you need the whole codebase or each change. Reviewing diffs catches issues as they land. A full audit finds flaws that span several features, such as access-control gaps between parts of the application.
• Whether you need to test the running application. Static analysis and live testing find different problems. Decide whether you need pentests, and which plan includes them.
• How findings are proven. Ask whether each finding comes with a written attack path, a reproducer or a working proof of concept against your application.
• What it costs as you grow. Compare billing models: per review, per developer, per token, per line of code or per credit, and whether the vendor tells you the cost of a full scan before you run it.

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Greptile is a strong AI reviewer for everyday pull requests, and many teams keep it for that. When you need deeper security testing, AISafe Labs helps you go further: AI agents that audit the whole codebase for logic and access-control flaws, pentests that prove them on your live application, and fix verification that closes the loop.

You can start on the free Basic plan, which includes the full SAST suite, and run your first code audit in minutes. Start for free↗.