The verdict
Semgrep appears in 9 AI-ranked categories — best position #1 for sast tool for application security.
Positioning brief — for the Semgrep team
Why the models put Semgrep at #1 for sast tool for application security
- fast scans GPT · Claude · Gemini · Grok“fast scans”
- approachable custom rules GPT · Claude · Gemini · Grok“unusually approachable custom rules”
- high-signal findings Claude · Gemini · Grok“high-signal findings”
- generous free tier GPT · Claude · Grok“a generous free tier with Pro rules and cross-file analysis”
What would move the rank — the models’ fix lines, unified
- shallower than CodeQL's deep interprocedural engine Claude · Gemini · Grok“still shallower than CodeQL's deep interprocedural engine”
- gated behind the paid tier Claude · Gemini · Grok“the deepest cross-file analysis is gated behind the paid tier.”
- deep analysis remains uneven by language GPT · Gemini“Deep analysis remains uneven by language”
Restructured from verbatim model output · nothing invented · every quote machine-verified
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 Semgrep falls short, per the models
- GPT Deep analysis remains uneven by language, so it should not be the sole scanner for complex native or unusual stacks.
- 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.
- 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.
- Grok Community Edition limited to single-file/single-function analysis so multi-file taint flows require paid Pro engine
Poll history — On this board 8 of 8 polls since Jun 29 · #1 the last 7
#2 → #1 → #1 → #1 → #1 → #1 → #1 → #1
What changed in the models’ minds
GeminiJul 15 → Aug 14 poll
- Newdeveloper-first PR-level integration
- Neweffective lightweight taint analysis“effective lightweight taint analysis that delivers high-signal findings with minimal CI pipeline friction”
- Newproprietary Pro engine or custom rule development“without the proprietary Pro engine or custom rule development”
- Droppedvast registry of community-maintained rules
+1 more change
ClaudeJul 9 → Jul 14 poll
- NewLow false positives“false-positive rates are low”
- NewCodeQL depth comparison“Semgrep wins on ease and speed, CodeQL on analysis depth”
- NewLicense tightening hurts OSS“the 2024 license tightening (which spawned the Opengrep fork) makes it a weaker pick for strictly-OSS shops”
- DroppedSupply-chain and secrets coverage“supply-chain/secrets coverage in one platform”
+1 more change
Top alternatives per the models: CodeQL · Snyk Code · Checkmarx One · Fortify
Fast CI scans, excellent developer feedback, 35+ languages, easy custom rules, and strong cross-file analysis make it the best overall balance of detection, workflow fit, and value; near-tied with CodeQL, but easier for typical teams to tune and extend
Claude Fast, dependency-free scans (minutes, often seconds) that fit PR-time CI without babysitting; readable YAML rules let teams encode their own policies instead of waiting on a vendor; strong OSS core with a generous free tier, and the commercial tier adds cross-file dataflow and decent triage. Best default for the typical engineering team wiring SAST into GitHub Actions/GitLab CI.
Gemini Extremely fast scan execution engineered for rapid PR blocking in CI/CD pipelines, paired with an accessible rule syntax that allows developers to write custom security checks easily; near-tie with SonarQube based on CI agility.
Grok Blazing-fast local scans (seconds on PRs), excellent CI/CD integration (GitHub Actions, GitLab, Jenkins, etc.) with minimal overhead, highly customizable rules (YAML, community-driven), strong accuracy with low false positives for typical use, free core/open-source option scales well, broad language support (~40+), ideal for developer-centric pipelines without heavy vendor lock-in
Where Semgrep falls short, per the models
- GPT Its strongest cross-file engine and security rules are proprietary, and serious multi-repository use becomes contributor-priced
- Claude Cross-file/interprocedural taint analysis is gated behind the paid product; OSS-only users get mostly intra-file findings and shallower coverage on complex injection chains than CodeQL.
- Gemini Lacks deep cross-file global dataflow and complex inter-procedural taint analysis compared to heavy semantic engines.
- Grok Requires rule expertise for advanced depth; may lack some enterprise taint analysis or binary scanning out-of-box (not for teams needing fully managed deep enterprise compliance without customization).
Top alternatives per the models: CodeQL · Snyk Code · SonarQube · Checkmarx One
Best overall balance for polyglot monorepos: fast differential scans, 30+ languages, strong framework-aware and cross-file analysis, excellent custom-rule ergonomics, and developer-friendly CI/PR feedback.
Claude Best fit for polyglot monorepos on real merit — 30+ languages under one rule syntax, fast per-file scanning that parallelizes cleanly in monorepo CI, cross-file/cross-function taint analysis in the Pro engine, and rules-as-code that lives in the repo so security and dev teams iterate like on any other code; the open-source engine alone is genuinely useful, and the commercial tier adds dataflow depth without changing workflow. Assumption: the typical practitioner values low false-positive rates and diff-aware CI speed over maximal rule breadth.
Gemini Fast, build-free AST-based scanning that allows near-instant PR-level feedback. In a near-tie with Snyk Code for developer velocity, Semgrep wins on its open-source core and the ease of writing custom rules for proprietary internal APIs. It natively supports logical subdirectory splitting and diff-aware scanning to prevent CI bottlenecks.
Where Semgrep falls short, per the models
- GPT Its strongest low-noise, interfile capabilities and managed monorepo features require the commercial platform; Community Edition alone is less comprehensive.
- Claude The deepest interprocedural/cross-file analysis is gated behind the paid Pro engine, and its 2024 license change limits how the community edition's rules can be used in competing products — pure-OSS shops get a meaningfully shallower tool.
- Gemini Lacks deep inter-procedural taint analysis across directory boundaries or multiple services, making it less effective at tracing complex data flows.
Top alternatives per the models: CodeQL · Checkmarx One · Snyk Code · SonarQube
Fast AST-based semantic analysis that operates on diffs without requiring full-repo compilation, scaling cleanly to massive codebases. Enables platform and security teams to enforce architectural boundaries, internal API contracts, and security rules via simple custom YAML definitions that deliver precise inline PR comments and autofixes. Assumes automated enforcement of domain-specific architectural rules provides the highest real-world leverage in a monorepo. Flag: Near-tie with Trunk for the top spot.
Claude Diff-aware, incremental scanning scales cleanly to monorepos where whole-repo scans are infeasible; custom rules in a readable DSL let platform teams codify org-specific patterns, and per-directory/codeowner rule scoping fits multi-team repos. Deterministic and fast in CI, with a strong free/OSS core. Assumes you have the appetite to author and maintain rules.
Where Semgrep falls short, per the models
- Claude Not an AI narrative reviewer — it finds pattern/security issues, not logic or design flaws, and value drops sharply if nobody invests in rule authoring.
- Gemini Lacks deep whole-program type resolution and inter-procedural dataflow during fast diff-only PR scans, allowing complex cross-service logic flaws to escape; requires ongoing internal engineering effort to write and maintain custom rules.
Poll history — On this board 1 of 2 polls since Sep 7 — off it in the latest
#1 → –
Top alternatives per the models: Greptile · Graphite · CodeRabbit · Qodo
Best overall balance of fast customizable SAST, cross-file dataflow, AI-assisted detection, triage and remediation, with strong PR integration and an open-source local engine; especially valuable when teams will tune rules to their codebase.
Claude Open-source core, transparent and writable rules, very fast, huge community ruleset, and the AI Assistant now auto-triages/deduplicates findings and drafts fixes to cut false positives — the best value and customizability for security teams that want control.
Gemini Merges fast, lightweight AST static analysis rules with LLM triage to automatically validate alerts, filter out false positives, and explain exploit paths.
Where Semgrep falls short, per the models
- GPT Its deepest analysis and AI features are commercial, and detection quality still depends heavily on rule coverage and tuning.
- Claude Pattern-first design misses complex cross-function/cross-file taint flows; deep interprocedural dataflow is gated behind the paid Pro engine.
- Gemini Advanced AI triage capabilities and cross-file dataflow analysis require commercial tier subscriptions.
Top alternatives per the models: Snyk Code · GitHub Advanced Security · CodeRabbit · Claude Code
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.
Grok Highly customizable open-source core with fast scans and AI-assisted contextual fixes in PRs; strong for custom rules + supply chain; excellent balance of speed, accuracy, and control for security-conscious teams; transparent and extensible for real-world tuning.
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 Semgrep falls short, per the models
- 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.
- Gemini Requires significant manual policy tuning and custom rule creation to prevent generating noise and low-quality autofix suggestions.
- Grok AI autofix in beta/less mature than leaders for some languages; requires more setup for full auto-PR creation compared to native tools.
Poll history — #3 in all 2 polls since Jul 13
#3 → #3
Top alternatives per the models: GitHub Copilot Autofix · Snyk · Aikido Security · ZeroPath
Best-in-class custom-rule SAST for source code, with strong first-party and community rulesets for Kotlin/Java (Android) and Swift/Objective-C; fast, CI-native, low-friction to write org-specific rules, and excellent for shift-left developer workflows where you own the source. Near-tie with MobSF — it wins when you have the codebase, MobSF wins when you have the binary.
Gemini Outstanding scan speed and developer ergonomics for shift-left mobile SAST, featuring fast native parsing for Kotlin, Java, and Swift in PR workflows alongside an accessible rule syntax that lets teams easily codify internal security standards and secure coding patterns.
Where Semgrep falls short, per the models
- Claude Source-only and largely intra-file/limited-interprocedural in practice; it doesn't analyze compiled IPA/APK, has weaker Swift/ObjC depth than JVM languages, and won't catch config/entitlement/binary-hardening issues.
- Gemini Lacks built-in mobile domain intelligence out of the box; without manually maintained or premium mobile-specific rulesets, it cannot natively analyze mobile platform primitives like Android IPC/Binder mechanisms or iOS runtime behaviors.
Top alternatives per the models: MobSF · NowSecure · Oversecured · Checkmarx One
Premier solution for defining custom AST-based pattern rules, security vulnerability scanning, and enforcing codebase-wide architectural constraints across JavaScript and TypeScript with minimal syntax friction.
Where Semgrep falls short, per the models
- Gemini Not built for granular syntactic hygiene, formatting, or micro-level developer feedback, making it an architectural/security companion rather than a primary day-to-day general linter.
Poll history — On this board 1 of 2 polls since Aug 22 — off it in the latest
#4 → –
Top alternatives per the models: ESLint · Biome · Oxlint · Deno lint
High-performance pattern-matching engine that uses simple YAML syntax to allow teams to define custom IaC guardrails quickly and with exceptionally low false-positive rates.
Where Semgrep falls short, per the models
- Gemini Out-of-the-box rule coverage for complex multi-resource relationships is weak compared to dedicated graph-based scanners, requiring significant manual rule-writing.
Poll history — On this board 1 of 2 polls since Jul 17 — off it in the latest
#6 → –
Top alternatives per the models: Checkov · Trivy · Snyk IaC · KICS
Head-to-head — how the models call it
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Boards re-poll weekly and the models change their minds. One short email only when Semgrep's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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