Code Security
for Builders

AI-generated code is exploding. A 95% fix rate is manageable at 10 PRs a day. At 100 PRs a day, unfixed critical issues compound across hundreds of repos, and the backlog grows faster than any team can burn it down.

Security teams are reaching for LLMs to close the gap. But they hit the same walls: inconsistent results in production, token costs that spiral, and hallucinations that erode trust. Rolling out workflows reliably across every repo, controlling LLM costs, ensuring deterministic outputs, and maintaining an audit trail. The jump from working proof of concept to running reliably across the org is where most efforts stall.

No two companies need the same security logic. Teams need a system that encodes their specific logic into automated workflows: pre-built for common needs, fully customizable where scanners fall short, and designed to orchestrate LLMs at scale.

Since its inception, Semgrep has been built on a core belief: no scanner gives you 100% out of the box, so customization is not optional. Semgrep Workflows brings this philosophy to the AI era.

Workflows lets teams connect AI and traditional security tools with the logic that fits their SDLC. Pick from pre-built workflows, adapt them, or create new ones for detection, triage, remediation, and compliance.

The Workflows SDK provides purpose-built tooling that produces more accurate, more deterministic results than teams can achieve building from scratch. Semgrep handles both sides: better results and production-grade infrastructure to deliver them.

Teams write the security logic that matters to their organization. Semgrep makes it run reliably, accurately, and at scale.

Workflows already powers Semgrep's AI-driven vulnerability detection, combining program analysis with LLMs to find business logic flaws such as broken authorization, authentication bypasses, and insecure access patterns.