Semgrep is a scalable, developer-oriented application security platform that discovers real and actionable security issues by scanning source code, providing AI-assisted SAST (Static Application Security Testing), SCA (Software Composition Analysis), and Secrets Detection solutions.
Key capabilities The platform includes multiple product modules:
- Semgrep Code: Find and fix important issues in code, i.e., SAST.
- Semgrep Supply Chain: Fix vulnerabilities in open source dependencies and block malware.
- Semgrep Secrets: Find and fix hardcoded secrets through semantic analysis.
- Semgrep Guardian: Scan and fix AI-generated code the moment it is written.
- Multimodal: Combine AI reasoning with rule-based analysis for detection, triage, and remediation.
- Semgrep AppSec Platform: Automate, manage, and enforce security policies across the organization.
- Semgrep Workflows: Build and deploy security pipelines that combine static analysis and AI.
The platform also provides end-to-end open source malware protection, including zero-day incident detection (24/7 on-call security monitoring, with incident scans triggered within 30 minutes of discovery, and teams able to view the latest malware findings through a dashboard or API), organization-level incident response automation (enterprise-grade policies, with Slack and JIRA integrations, triggering predefined remediation workflows), and a malware firewall (running silently on developer machines, intercepting network requests to any public registry, and blocking malicious and compromised open source packages from entering the environment).
Use of AI in the AppSec lifecycle
- Detecting important issues: Identify complex issues such as IDOR, broken authorization, and multi-step logic flaws; combine deterministic static analysis with AI reasoning to understand naming, structure, and developer intent, going beyond pattern matching.
- Noise filtering: Automatically triage findings using code context, patterns, and prior decisions; temporarily ignore false positives so AppSec teams can focus on real risk, automatically handling alerts instead of manual auditing.
- Remediation suggestions: Quickly turn findings into secure, actionable fixes, generating customized fixes and upgrade guidance directly in PRs and IDEs.
- Continuous learning: Manual triage decisions generate reusable "memories," automatically suppressing repeated false positives; signals accumulate over time, and false positives no longer recur.
Integrations and workflows Supports CLI, CI/CD, and IDEs (VS Code, JetBrains); supports PR checks for GitHub, GitLab, Bitbucket, and Azure; supports Jira and ticket workflow routing; provides API and Webhook; supports MCP integration for AI tools such as Cursor and Replit; provides cloud context through partners such as Palo Alto Networks, Sysdig, and StackHawk.
Use cases
- Open source malware protection, static application security testing, OWASP Top 10 protection, security guardrails, fintech software supply chain risk mitigation, accelerated security for SaaS and cloud development, and more.
Resources and support Provides documentation, blog, ROI calculator, community Slack, events, case studies, video library, Community Edition, and product updates. Users can book a demo or start a free trial.
Limitations Detailed information such as specific pricing, deployment methods, and platform support scope is not provided in the materials.