Best AI code security scanner

Combined ranking

1. 1
   GGitHub Copilot Autofix—10 pts

   Claude #1Gemini #1

   The most frictionless real-world combo of find-and-fix at PR time — CodeQL's precision-tuned analysis flags vulnerabilities on every pull request and Copilot Autofix generates in-context patches for the large majority of alert types with one-click commit; zero pipeline setup, free on public repos, and fix suggestions have measurably cut median remediation time in production use. Assumption shaping the rank: the typical practitioner hosts on GitHub.

   Gemini Seamlessly integrated into GitHub Advanced Security using CodeQL and Copilot LLMs to automatically propose and explain PR fixes with zero setup.

   Where it falls short

   per Claude Locked to GitHub — private repos need the paid Code Security/GHAS SKU, and teams on GitLab/Bitbucket or wanting deep rule customization get nothing.

   per Gemini Hard vendor lock-in to the GitHub/GHAS ecosystem, making it unsuitable for teams hosted on GitLab, Bitbucket, or local servers.

2. 2
   Snykincumbent—7 pts

   Claude #3Gemini #2

   Snyk Agent Fix uses an iterative agentic workflow to validate proposed fixes against Snyk's engine before PR generation, combined with comprehensive coverage of code, dependencies, and containers.

   Claude Mature developer-first SAST with genuinely validated AI remediation — DeepCode AI Fix checks generated patches against the analyzer before suggesting them, reducing hallucinated fixes; broad language coverage, IDE + PR integration, and a full platform (SCA, containers, IaC) around it.

   Where it falls short

   per Claude Expensive at scale and the platform pushes bundle upsell; autofix coverage is uneven across languages, making it overkill for a small team that only wants PR scanning.

   per Gemini High enterprise-tier licensing costs and restrictive usage limits on smaller tiers make it expensive for small teams.

3. 3
   Semgrep—6 pts

   Claude #2Gemini #4

   Best engine-plus-AI pairing that works everywhere — fast, low-noise SAST with writable rules and an open-source core, while Semgrep Assistant uses AI to auto-triage false positives, explain findings, and propose fixes in the PR, with published data showing large noise reduction; the strongest choice for teams that want control and cross-SCM support.

   Gemini Combines fast static analysis and Semgrep Assistant to allow security teams to write highly customized rules and automatically generate contextual PR-native fixes.

   Where it falls short

   per Claude The AI layer (Assistant, autofix) is paid-tier and cloud-connected, and its interprocedural/dataflow depth still trails CodeQL in some languages — pure open-source users get the scanner but not the AI fixing.

   per Gemini Requires significant manual policy tuning and custom rule creation to prevent generating noise and low-quality autofix suggestions.

4. 4
   PPixee—3 pts

   Claude —Gemini #3

   A scanner-agnostic downstream agentic bot that ingests SARIF logs from existing scanners to generate safe, deterministic codemod-supported PR fixes with high merge rates.

   Where it falls short

   per Gemini Lacks its own scanning engine, meaning it cannot detect vulnerabilities independently and is entirely dependent on upstream tooling.

5. 5
   ZZeroPath—2 pts

   Claude #4Gemini —

   The strongest of the truly AI-native scanners — LLM-driven analysis catches business-logic and auth flaws that pattern-based SAST structurally misses, and it opens ready-to-merge patch PRs; impressive results on independent benchmark comparisons against incumbent SAST earn it a top-5 spot despite its youth.

   Where it falls short

   per Claude Young vendor with a short enterprise track record, and analysis requires shipping your code to its cloud — a non-starter for strict data-residency shops.

6. 6
   AAikido Security—1 pts

   Claude #5Gemini —

   Best value for small-to-mid teams — bundles SAST, secrets, IaC, and dependency scanning with AI Autofix that opens fix PRs, aggressive noise-filtering, and simple per-seat pricing; near-tie with Corgea, winning on breadth-per-dollar rather than SAST depth.

   Where it falls short

   per Claude A consolidation play, not a depth play — its first-party analysis is shallower than CodeQL/Semgrep, so security-mature orgs will outgrow it.

7. 7
   CCorgea—1 pts

   Claude —Gemini #5

   Utilizes runtime path tracing and reachability analysis to verify exploitability and automatically generate PR fixes, dramatically reducing alert fatigue from unreachable code.

   Where it falls short

   per Gemini As a younger product, it lacks the deep legacy framework coverage and language support offered by established enterprise platforms.

Just missed the top 5

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously