Semgrep Review (2026)

Semgrep Overview

Semgrep has established itself as the most developer-friendly static application security testing (SAST) platform on the market. Originally developed at Facebook and now maintained by Semgrep, Inc. (formerly r2c), it takes a fundamentally different approach to security scanning: instead of forcing developers to learn complex domain-specific languages or regex patterns, Semgrep lets you write custom rules using syntax that looks like the source code being analyzed. This design philosophy has attracted a massive community and earned the platform a 4.6 out of 5 rating on G2 with 54 verified reviews and a 4.3 rating on Gartner Peer Insights.

What sets Semgrep apart from traditional SAST tools like Checkmarx or Fortify is its speed and developer experience. Semgrep scans complete in a median of 10 seconds during CI runs, making it practical to run on every pull request without slowing down development velocity. The platform has expanded well beyond basic static analysis to include three modular products: Semgrep Code (SAST), Semgrep Supply Chain (SCA with reachability analysis), and Semgrep Secrets (semantic credential detection). Each can be adopted independently, letting teams build their application security program incrementally rather than committing to an all-or-nothing platform.

The commercial platform builds on the open-source Semgrep Community Edition (CE) foundation with its AI-powered triage engine called Semgrep Assistant, which has been handling approximately 60% of all triage work for customers by intelligently filtering false positives before security teams ever see them. According to Semgrep’s security research team, users agree with Assistant’s auto-triage decisions 95% of the time, addressing what is historically the biggest pain point in security scanning: alert fatigue.

Feature Deep Dive

Custom Rule Authoring: Semgrep’s signature feature is its pattern-matching rule engine that lets developers write security rules using syntax that mirrors the code being scanned. Rules are defined in YAML and use metavariables, ellipsis operators, and pattern combinators that are 5-10x shorter than equivalent ESLint or custom AST-based rules. This means a security engineer can write a rule to detect an insecure API pattern in minutes, not hours. The Semgrep Registry contains over 2,800 community-contributed rules covering OWASP Top 10, CWE categories, and framework-specific patterns across 30+ languages.

AI-Powered Triage with Semgrep Assistant: Semgrep Assistant uses machine learning to classify each finding as a true or false positive, providing confidence scores and natural-language explanations for its reasoning. It reduces the number of findings requiring manual triage by 20% on day one, improving to up to 40% reduction after just one week of use. The feature includes noise filtering that hides detected false positives from developers and prevents them from appearing in PR comments or ticketing tools.

Assistant Memories: A newer feature that lets Semgrep continuously learn and codify security-relevant context specific to your organization without requiring custom rule creation. Semgrep automatically suggests and scopes memories based on triage activity, developer feedback, and historical decisions. One Fortune 500 customer reported a 2.8x improvement in false positive detection on top of Assistant’s baseline noise reduction with just two added memories.

Cross-File Dataflow Analysis: The Pro engine analyzes data flow across files and functions to uncover vulnerabilities that single-file analysis would miss entirely. Independent testing found that the Pro engine detected 72-75% of vulnerabilities in test suites compared to just 44-48% for the Community Edition. The engine traces tainted data from sources to sinks across entire codebases, providing visualization of the complete vulnerability path.

Supply Chain Analysis (SCA): Semgrep Supply Chain goes beyond basic dependency scanning by incorporating reachability analysis. Rather than flagging every dependency with a known CVE, it determines whether the vulnerable code path in the dependency is actually called by your application, dramatically reducing the noise that plagues traditional SCA tools.

Secrets Detection: Semgrep Secrets uses semantic analysis to detect leaked credentials in code, going beyond simple regex-based pattern matching. It can validate whether detected secrets are still active, helping teams prioritize remediation for credentials that pose an immediate risk.

20,000+ Pro Rules: Beyond the community rules, the paid platform includes over 20,000 proprietary rules written and maintained by Semgrep’s security research team. These Pro rules leverage cross-file and cross-function capabilities and are designed for high accuracy with minimal noise.

Diff-Aware CI/CD Scanning: Semgrep’s CI integration supports diff-aware scanning for pull requests, analyzing only the changed code rather than the entire codebase. This keeps scan times fast for PR workflows while full scans can be scheduled on the main branch with broader rule sets.

Pricing and Plans

Semgrep’s pricing model stands out for its modular approach and generous free tier. The platform is free for up to 10 contributors and 10 private repositories on the full AppSec Platform, making it one of the most accessible enterprise-grade security tools for small teams and startups.

The Community Edition is completely free and open-source under LGPL-2.1, requiring no login or account. It includes the core Semgrep scanning engine, 2,800+ community rules, and CLI/CI/CD integration. The key limitation is that CE is restricted to single-file and single-function analysis, which means it will miss many cross-file vulnerabilities that the Pro engine catches.

The Team plan costs $35 per contributor per month and unlocks the full platform: Semgrep Code with cross-file analysis, Semgrep Supply Chain with reachability, Semgrep Secrets, the AI-powered Assistant, 20,000+ Pro rules, and centralized dashboards. The modular structure means you can adopt SAST, SCA, and Secrets detection independently.

The Enterprise plan adds SSO/SAML, custom deployment options, advanced reporting and compliance features, dedicated support, and SLA guarantees at custom pricing.

For comparison, Checkmarx typically costs $40,000+ per year for enterprise deployments, making Semgrep significantly more accessible. Snyk Code starts at around $25 per developer per month but lacks Semgrep’s custom rule flexibility. SonarQube offers a free Community Edition but its paid Developer Edition starts at $180 per year for small teams and scales steeply for larger codebases.

How Semgrep Works

Semgrep integrates into your development workflow at multiple touchpoints. The most common deployment pattern is as a CI/CD pipeline check that runs automatically on every pull request.

GitHub Integration: Semgrep provides a first-class GitHub App that connects in minutes. Once installed, it automatically scans pull requests using diff-aware analysis, posting findings as inline PR comments. Findings can be configured to block merges or serve as advisory warnings. For GitHub Actions users, Semgrep offers a dedicated action (semgrep-action) in the GitHub Marketplace that can be added to any workflow YAML file.

CI/CD Pipeline: Beyond GitHub, Semgrep supports GitLab CI, Bitbucket Pipelines, Jenkins, CircleCI, and virtually any CI platform that can run a Docker container or install a Python package. The recommended approach is to run a full scan on the main branch with a broad rule set (e.g., p/default) and use diff-aware scanning with high-confidence rules on pull requests.

CLI Workflow: Developers can run semgrep scan locally before pushing code. The CLI supports multiple config flags to combine different rule sources: semgrep scan --config p/default --config ./custom-rules/ src. Results are output in multiple formats including SARIF, JSON, and human-readable text.

IDE Integration: Semgrep offers a VS Code extension for real-time feedback during development. The extension highlights findings inline and provides quick-fix suggestions without requiring developers to leave their editor.

Dashboard and Reporting: The web-based dashboard provides centralized visibility across all repositories, with trending data, MTTR metrics, and the ability to manage triage workflows. Security teams can track findings by severity, rule, repository, and contributor.

Who Should Use Semgrep

Semgrep is ideal for several specific types of teams and organizations:

DevSecOps teams building a security program from scratch will appreciate the modular adoption path. Start with the free tier for up to 10 contributors, prove value with SAST, then incrementally add SCA and Secrets detection as the program matures.

Security teams frustrated with false positive rates from tools like Checkmarx or Fortify should evaluate Semgrep’s AI-powered triage. The 95% agreement rate on auto-triage decisions is a concrete improvement over the manual triage workflows that consume significant security engineering time.

Organizations with custom security policies benefit most from Semgrep’s rule authoring system. If you have framework-specific patterns, internal API security requirements, or architectural standards that off-the-shelf rules cannot cover, Semgrep lets you encode these as scannable rules without hiring a dedicated tool-customization team.

Startups and small teams (under 10 contributors) should strongly consider Semgrep given the free platform tier. There is no other enterprise-grade SAST tool offering cross-file analysis, AI triage, and SCA for free at this scale.

Enterprise security teams managing hundreds of repositories benefit from the centralized dashboard, policy-as-code enforcement, and the ability to roll out custom rules across the entire organization.

Semgrep is less ideal for teams primarily concerned with code quality and technical debt (SonarQube is better suited for that), teams needing DAST, container scanning, or API security testing (Checkmarx One or Snyk offer broader platform coverage), or organizations that need a tool requiring zero security expertise to configure.

Semgrep vs Alternatives

Semgrep vs SonarQube

SonarQube is the dominant player in code quality with over 400,000 organizations using it, but its security analysis depth lags dedicated SAST tools. SonarQube excels at code coverage tracking, duplicate code detection, complexity analysis, and technical debt measurement with 6,500+ built-in rules. Semgrep is the stronger security scanner, running 20-100x faster than SonarQube’s analysis (up to 100K lines of code per second versus SonarQube’s approximately 400 lines per second for rulesets in production). Custom rule writing in SonarQube requires Java expertise and AST familiarity, while Semgrep rules look like the source code they scan. The most common practitioner pattern in 2026 is to run both: SonarQube for code quality and Semgrep for security.

Semgrep vs CodeQL

CodeQL, maintained by GitHub, offers the deepest semantic analysis among free SAST tools, achieving 88% accuracy with a 5% false positive rate in independent benchmarks compared to Semgrep’s 82% accuracy with a 12% false positive rate. However, CodeQL requires learning a specialized query language (QL) that has a steep learning curve, and scans are significantly slower. CodeQL is free for open-source projects on GitHub but requires GitHub Advanced Security ($49/committer/month) for private repositories. Semgrep’s advantage is accessibility: faster scans, easier rule authoring, and the AI triage layer that CodeQL lacks entirely.

Semgrep vs Snyk Code

Snyk Code is faster and more developer-friendly than traditional SAST tools, scanning code in real time inside IDEs and returning results in seconds. Its AI engine is trained on millions of open-source repositories, making it effective at detecting patterns from real-world code. Semgrep provides faster scans with fewer false positives than Snyk Code in comparative tests, along with significantly better flexibility for custom rule creation. Snyk offers broader platform coverage (SAST, SCA, container, IaC) compared to Semgrep’s SAST, SCA, and Secrets focus. Snyk is a Gartner Magic Quadrant Leader for AST; Semgrep is not yet recognized in the Magic Quadrant but is growing faster in relative market share.

Semgrep vs Checkmarx

Checkmarx is the enterprise-grade incumbent, offering the broadest coverage with SAST, SCA, DAST, IaC security, container security, API security, and secrets detection in a single platform. Checkmarx detects more true positives in custom application code through deeper inter-procedural analysis across 35+ languages. However, Checkmarx typically costs $40,000+ per year, is significantly slower to scan, and requires dedicated security engineers to manage. Semgrep’s developer-first approach, faster scans, and lower cost make it the preferred choice for teams that want developers to own security rather than throwing findings over the wall to a security team.

Semgrep vs ESLint

ESLint and Semgrep serve different purposes despite surface-level similarities. ESLint is the definitive JavaScript/TypeScript linter, focused on code style and quality with faster execution in JavaScript-only codebases. Semgrep is a polyglot security scanner covering 30+ languages with deep vulnerability detection. ESLint rules require JavaScript code and plugin setup; Semgrep rules are 5-10x shorter. Teams typically run both: ESLint for JavaScript-specific style enforcement and Semgrep for security scanning across the full stack.

Pros and Cons Deep Dive

Strengths in Practice

The custom rule system is genuinely transformative for teams with specific security requirements. One practical example: a fintech company can write a Semgrep rule to ensure that all database queries in their Go services use parameterized queries, matching the exact pattern of their ORM wrapper. Writing this rule takes 15-20 minutes in Semgrep versus days of work with traditional tools. The rule then runs on every PR, preventing SQL injection before code reaches production.

The AI-powered triage has measurable impact. Semgrep reports that Assistant has triaged approximately 60% of new SAST findings for customers, filtering out false positives before security teams see them. For a team that previously spent 10+ hours per week on triage, this translates directly into recovered engineering time.

Scanning speed is a genuine competitive advantage. At a median of 10 seconds per CI scan, Semgrep adds negligible time to PR pipelines. Compare this to Checkmarx scans that can take 30-60 minutes on large codebases, and the developer experience difference is stark.

Limitations in Practice

The Community Edition’s single-file analysis limitation is a real gap. In independent testing, CE detected only 44-48% of vulnerabilities compared to 72-75% for the Pro engine. Teams relying solely on the free edition should be aware they are missing a significant portion of cross-file vulnerabilities, particularly taint-tracking scenarios where user input flows through multiple files before reaching a dangerous sink.

The $35/contributor/month price point, while competitive against enterprise SAST tools, adds up quickly. A 50-person development team would pay $21,000 per year for Semgrep Code alone, and adding Supply Chain and Secrets increases the total. This is still far less than Checkmarx or Fortify, but it is more expensive than SonarQube’s Developer Edition or GitHub Advanced Security with CodeQL. For teams that need the deepest possible SAST with compliance reporting, enterprise platforms like Veracode or Coverity offer broader capabilities at a significantly higher price point.

The security-only focus means teams still need separate tools for code quality, coverage analysis, and non-security linting. Unlike SonarQube, which provides a single dashboard for both quality and security, Semgrep requires pairing with other tools for a complete code health picture. Teams looking for a platform that bundles security with AI code review and quality metrics should also consider CodeAnt AI.