Scan and fix AI-generated code the moment it's written
Empower agents with tools and context required to automate threat detection, triage, and remediation.
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
Protect against software supply chain attacks
Automate and Scale AppSec with Agentic Code Security
Give any agent access to the full Semgrep suite
Protect Your Code with Secure Guardrails
Ship faster, without compromising on security.
Increase security while accelerating development
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Semgrep Agentic Workflows
Empower agents with tools and context required to automate threat detection, triage, and remediation.
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.
Deterministic tools for agent-ready answers in milliseconds.
Real world code cases are vast. Mandoline is a program analysis tool that helps security agents find the code facts that matter. It surfaces code flows from entry points and other security sensitive operations, and answers questions about which are on the reachable paths. Agents are empowered with fast, complete, and correct answers - saving attention (and tokens!) for assessing security impact vs understanding how the code works.
Persistent, dynamic understanding of your code and your org.
Ground agents in context, so they don’t need to start from zero on every run. Context Layer maps out your code architecture, mapping out: its tech stack, sub-components, entrypoints, authorization calls, external service calls. It also ingests internal docs, developer feedback, and organization specific memories. It holds what your code shows and what only your team knows, so that agentic workflows leveraging this data results get faster, more consistent, and more tailored over time.
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
