Find and fix the issues that matter in your code (SAST)
Fix vulnerabilities in open source dependencies and block malware
Find and fix hardcoded secrets with semantic analysis
Scan and fix AI-generated code the moment it's written
Combine AI reasoning with rule-based analysis for detection, triage, and remediation
Automate, manage, and enforce security across your organization
Build and deploy security pipelines that combine static analysis with AI at scale
Protect against software supply chain attacks
Increase security while accelerating development
Prevent the most critical web application security risks
Protect Your Code with Secure Guardrails
Mitigate software supply chain risks
Increase security while accelerating development
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Semgrep Agentic Workflows
Unleash continuous vulnerability hunting across your code using Semgrep tools and AI models
Don’t let attackers outrun your security program
Enable continuous vulnerability hunting across your code
Attackers can now get pentester-grade reasoning on demand, at a level of capability they’ve never had before. AppSec teams need the same capabilities running against their own code, to catch flaws like broken authorization, missing checks, and injection through an unfamiliar path before an attacker does.
Enable continuous vulnerability hunting across your code
Pre-built Agentic Workflows hunt for the subtle authentication, injection, and logic flaws that matter most, covering 70+ CWEs across the OWASP Top 10. Apply static analysis tools such as Semgrep Pro Engine and Pro rules for deterministic analysis such as taint tracing and interfile analysis. Leverage Semgrep tooling built specifically for handing agents exactly the context and code they need. Lean on frontier AI models such as Claude Opus for reasoning about exploitability.
Generate context from code, docs, or logs that informs Agentic Workflows. Generate assets that relate applications, priorities, and architectures.
Apply best of breed tools including Semgrep and frontier models to find elusive vulnerabilities.
Dynamically test code to confirm a vulnerability is exploitable. Provide clear evidence the issue needs to be addressed.
Review potential vulnerabilities in context for validity and priority. Explain impact and capture feedback for continuous improvement.
Drive code changes to resolve issues. Generate PRs that reference impact, context, and validation to accelerate developer action.
Refactor agent activities into tools or scripts to increase consistency, manage costs, and scale up.
AI-powered vulnerability hunting for your code
