Best SAST tool for application security
4 models · updated 2026-08-14
The verdict
Semgrep leads — All 4 models rank Semgrep the top pick.
As of 2026-08-14, ChatGPT, Claude, Gemini and Grok collectively rank Semgrep #1 for sast tool for application security on ModelsAgree — a unanimous pick. The models' case: Near-tie with GitHub CodeQL; fast build-free scans, unusually approachable custom rules, strong developer workflows, and a generous free tier with Pro rules and. The models' main caveat: Deep analysis remains uneven by language, so it should not be the sole scanner for complex native or unusual stacks. The strongest alternative is CodeQL — The strongest semantic whole-repository analysis here, with excellent data-flow tracing, maintained open query packs, extensible framework models, and. Source: https://modelsagree.com/best/best-sast-tool-for-application-security (modelsagree.com, CC BY 4.0).
Combined ranking
- 1GPT #1Claude #1Gemini #1Grok #1
Near-tie with GitHub CodeQL; fast build-free scans, unusually approachable custom rules, strong developer workflows, and a generous free tier with Pro rules and cross-file analysis make it the best overall value for typical polyglot teams.
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GPT Near-tie with GitHub CodeQL; fast build-free scans, unusually approachable custom rules, strong developer workflows, and a generous free tier with Pro rules and cross-file analysis make it the best overall value for typical polyglot teams.
Claude Best developer experience in the category — fast scans, low false-positive noise, and a readable YAML rule syntax that lets teams write and tune custom rules in minutes; strong free OSS core plus a commercial tier with a large curated ruleset and cross-file dataflow. Near-tie with CodeQL for the top spot; ranked first because it fits the typical practitioner's real workflow (CI, IDE, PR comments) with far less setup.
Gemini Blazing-fast scan speeds, developer-first PR-level integration, readable YAML-based custom rule syntax, and effective lightweight taint analysis that delivers high-signal findings with minimal CI pipeline friction.
Grok Fastest practical CI/PR feedback with human-readable YAML rules developers can author and tune themselves, strong community + Pro rule coverage across 30+ languages, low noise once tuned, free CE for small teams plus excellent incremental/local scanning; assumes typical teams value control, speed, and adoption over pure enterprise dashboards
Where it falls shortper GPT Deep analysis remains uneven by language, so it should not be the sole scanner for complex native or unusual stacks.
per Claude Its taint/dataflow analysis, while much improved, is still shallower than CodeQL's deep interprocedural engine, so it can miss complex multi-hop vulnerabilities; the deepest cross-file analysis is gated behind the paid tier.
per Gemini Deep inter-procedural dataflow and legacy monolith analysis (e.g., C/C++, complex Java) are less thorough out-of-the-box compared to traditional heavyweight engines without the proprietary Pro engine or custom rule development.
per Grok Community Edition limited to single-file/single-function analysis so multi-file taint flows require paid Pro engine
- 2GPT #2Claude #2Gemini #2Grok #2
The strongest semantic whole-repository analysis here, with excellent data-flow tracing, maintained open query packs, extensible framework models, and first-rate GitHub integration; it could rank first when its supported languages fit.
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GPT The strongest semantic whole-repository analysis here, with excellent data-flow tracing, maintained open query packs, extensible framework models, and first-rate GitHub integration; it could rank first when its supported languages fit.
Claude The strongest semantic analysis engine available — treats code as a queryable database enabling deep interprocedural taint tracking that finds vulnerability classes others miss; free for open source and public repos, tightly integrated with GitHub Actions and code scanning.
Gemini Unmatched semantic code modeling and deep inter-procedural dataflow/taint analysis with seamless native GitHub PR workflows (Near-tie with Semgrep, trading raw scan speed for deeper semantic depth).
Grok Semantic database queries deliver the deepest multi-file dataflow and variant analysis of any widely available engine, high precision on complex issues, free for public repos with solid modern language support and native GitHub Actions integration; near-tie with Semgrep for technically skilled teams already on GitHub
Where it falls shortper GPT Its limited language set, specialist QL learning curve, and commercial-license requirement for private-code automation make it less accessible than Semgrep.
per Claude Steep learning curve (QL is a real query language), slow build-and-analyze cycle, requires a buildable/compilable project for compiled languages, and licensing gets expensive for private enterprise use outside GitHub Advanced Security.
per Gemini Extremely resource-intensive scan times that require code compilation, high complexity/steep learning curve for writing custom QL queries, and high cost for non-open-source enterprise codebases.
per Grok Steep QL learning curve and slower full scans make it less suitable for rapid non-GitHub or non-expert workflows
- 3GPT #3Claude #3Gemini #3Grok #3
Broad modern-language coverage, interfile analysis for every supported language except Ruby, and fast IDE, CLI, and pull-request feedback create an excellent developer experience with useful remediation context.
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GPT Broad modern-language coverage, interfile analysis for every supported language except Ruby, and fast IDE, CLI, and pull-request feedback create an excellent developer experience with useful remediation context.
Claude Fast AI/ML-assisted engine with genuinely good IDE and PR feedback, strong developer adoption, and unified platform with SCA/container/IaC so security teams get one workflow; low friction to onboard.
Gemini Fast AI-assisted semantic scanning engine with exceptional IDE integration, actionable remediation advice, and unified integration across dependencies and container workflows.
Grok Best developer experience via real-time IDE scanning, high-quality AI fix suggestions, and low false-positive rates on mainstream languages, seamless when paired with Snyk SCA
Where it falls shortper GPT It is cloud-first and its local engine is deprecated, so it is not suitable for organizations that cannot upload source code.
per Claude Language and rule depth trail CodeQL/Checkmarx for the hardest bugs, findings are less transparent/tunable than Semgrep's, and full value requires buying into the broader (costly) Snyk platform.
per Gemini Opaque proprietary engine with limited custom rule-authoring flexibility, making it less suitable for organizations with proprietary internal frameworks or strict air-gapped requirements.
per Grok Limited custom rule control and black-box ML core plus per-developer pricing that scales poorly for large or mixed-language teams
- 4GPT #4Claude #4Gemini #5Grok #4
Mature taint and data-flow analysis, broad enterprise language and framework coverage, customizable CxQL queries, incremental scans, and strong policy governance make it especially capable at organizational scale.
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GPT Mature taint and data-flow analysis, broad enterprise language and framework coverage, customizable CxQL queries, incremental scans, and strong policy governance make it especially capable at organizational scale.
Claude Very broad language coverage with deep, mature interprocedural analysis tuned for large enterprise codebases and compliance regimes (PCI, OWASP, etc.); strong at reducing false positives via query tuning at scale.
Grok Mature deep cross-file t
Gemini Deep full-codebase AST and taint analysis with extensive framework coverage and enterprise-grade compliance mapping (OWASP, PCI-DSS, NIST).
Where it falls shortper GPT Enterprise pricing plus substantial setup, tuning, and triage overhead make it poor value for small or lightly staffed teams.
per Claude Heavyweight and expensive enterprise product with slower scans and a steeper operational burden — overkill and poor value for small teams or individual practitioners.
per Gemini Slow scan execution times and higher false-positive rates that create friction in fast, modern shift-left developer inner loops.
- 5GPT #5Claude #5Gemini —Grok —
Deep interprocedural taint and control-flow analysis, custom Rulepacks, exceptionally broad modern and legacy language coverage, and flexible SaaS or off-cloud deployment make it formidable for regulated heterogeneous estates.
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GPT Deep interprocedural taint and control-flow analysis, custom Rulepacks, exceptionally broad modern and legacy language coverage, and flexible SaaS or off-cloud deployment make it formidable for regulated heterogeneous estates.
Claude One of the deepest and most battle-tested engines, extremely wide language support, and audit/compliance features that regulated industries (finance, government, defense) depend on.
Where it falls shortper GPT It has the heaviest operational footprint and steepest expertise requirement here, making it ill-suited to teams prioritizing a simple, rapid pull-request loop.
per Claude Dated developer experience, notoriously high false-positive rates requiring expert triage, heavy licensing and infrastructure — the antithesis of a lightweight, shift-left tool.
- 6GPT —Claude —Gemini #4Grok —
Unrivaled developer adoption, effortless IDE (SonarLint) and PR quality gating, and broad multi-language coverage that unifies security vulnerability detection directly with general code health.
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Gemini Unrivaled developer adoption, effortless IDE (SonarLint) and PR quality gating, and broad multi-language coverage that unifies security vulnerability detection directly with general code health.
Where it falls shortper Gemini Primarily a code quality engine; its security dataflow and taint-tracking depth are relatively shallow compared to dedicated deep-AppSec tools.
Rank history
Just missed the top 5
GPT Veracode — mature and broad, but packaged-artifact uploads and prescan requirements make its developer loop less flexible · Black Duck Coverity Static Analysis — outstanding for C/C++ and embedded systems, but less valuable for the typical web and cloud application-security stack
Claude SonarQube — excellent code-quality platform with growing security rules, but its SAST depth and taint analysis still lag the dedicated leaders · Veracode — strong compliance pedigree and binary/bytecode scanning, but slower centralized-upload model and weaker inline developer feedback than the top picks
Gemini OpenText Fortify — Provides robust enterprise compliance and deep analysis, but missed due to high administrative overhead, slow scan speeds, and clunky developer UX
By model
ChatGPT
- 1.Semgrep
- 2.CodeQL
- 3.Snyk Code
- 4.Checkmarx One
- 5.Fortify
Claude
- 1.Semgrep
- 2.CodeQL
- 3.Snyk Code
- 4.Checkmarx One
- 5.Fortify
Gemini
- 1.Semgrep
- 2.CodeQL
- 3.Snyk Code
- 4.SonarQube
- 5.Checkmarx One
Grok
- 1.Semgrep
- 2.CodeQL
- 3.Snyk Code
- 4.Checkmarx One
Common questions
What is the best sast tool for application security according to AI models?
Semgrep leads. All 4 models rank Semgrep the top pick. The current top 3: Semgrep, CodeQL, Snyk Code. Ranked by asking ChatGPT, Claude, Gemini, Grok the same buying question and merging their top-5 picks, updated 2026-08-14. Source: modelsagree.com.
Which sast tool for application security did each AI model pick first?
ChatGPT: Semgrep. Claude: Semgrep. Gemini: Semgrep. Grok: Semgrep.
What changed in the latest sast tool for application security ranking?
In the latest poll (2026-08-14): Checkmarx One and Fortify entered the ranking. The models are re-polled on demand, so this ranking moves.
How is this sast tool for application security ranking made?
ChatGPT, Claude, Gemini, Grok are each asked the same buying question in a fresh session with no system steering. Their top-5 answers are merged (rank 1 = 5 pts … rank 5 = 1 pt) into the consensus ranking, re-polled on demand and tracked over time.
More on how polling works: full methodology →
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Cite this ranking
ModelsAgree, “Best SAST tool for application security” — merged ranking from ChatGPT, Claude, Gemini & Grok, polled 2026-08-14. https://modelsagree.com/best/best-sast-tool-for-application-security (CC BY 4.0)
Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled on demand