Secure every stage of the AI value chain.
GitGuardian protects your organization across the entire AI value chain, from vibe coding in Cursor and Windsurf to autonomous agents running in production.
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The AI value chain challenge
Vibe Coding Risk
Non-technical users and developers generate code with AI assistants, often embedding API keys, tokens, and credentials directly in the output without understanding the security implications.
LLM Exposure
Secrets sent to LLMs for context can be logged, cached, or inadvertently exposed. Even "private" LLMs aren't immune to prompt injection attacks that extract sensitive credentials.
AI Agent Sprawl
Autonomous agents run on both platforms (Zapier, Make.com) and locally on developer machines. Devs now run MCP servers and AI services that require elevated privileges, creating a massive attack surface.
Decentralized Development
The way we ship and operate apps has fundamentally changed. Dev laptops now house more secrets and more powerful secrets, with credentials for AI tools, MCP servers, and locally running models creating high-value targets.
The GitGuardian approach
While LLMs are improving at preventing hardcoded secrets, this doesn't address the broader challenge: secrets are mismanaged everywhere, not just in code.
GitGuardian provides the comprehensive inventory you need to see all secrets, in code, on endpoints, in AI agents and govern them effectively.
Prevent Secrets in Vibe Coding IDEs
Whether your developers use Cursor, Windsurf, VS Code, or any AI coding assistant, GitGuardian's ggshield CLI and VS Code extension provide real-time secrets detection at the point of creation.
Secure Developer Endpoints
Developer endpoints are the new perimeter. GitGuardian scans laptops for all secrets and deploys via MDM across your workforce. Detect over-privileged credentials, production secrets on developer machines, and get complete visibility for incident response.
Manage AI Agent NHIs & Shadow AI
Autonomous AI agents on Zapier, Make.com, n8n, and Dust require powerful credentials and proliferate at machine speed as shadow IT. GitGuardian identifies which agents exist, the credentials they use, the systems they access, and tracks their full lifecycle.
Redact Secrets Before LLM Calls
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When developers or AI agents call LLMs (OpenAI, Claude, Mistral, Bedrock), secrets in code snippets or configs can be exposed to third-party APIs. GitGuardian's roadmap includes proxy-based redaction to ensure credentials never reach the LLM.
Detect Secrets Across Your SDLC
AI coding assistants generate code at unprecedented speed and push it to GitHub, GitLab, Bitbucket, and Azure DevOps just as fast. GitGuardian monitors every commit, pull request, CI/CD pipeline, and container image for exposed secrets before they reach production.
Address OWASP top 10 for
non-human identities & agentic AI threats
Honeytokens detect when AI agents use credentials out of scope
Secrets detection prevents AI-generated code from exposing high-privilege credentials
NHI discovery identifies which agents can impersonate which identities
Behavioral monitoring (coming soon) flags autonomous agent anomalies
Trusted by security leaders at the world's biggest companies
Hereās how we are helping them
GitGuardian has absolutely supported our shift-left strategy. We want all of our security tools to be at the source code level and preferably running immediately upon commit. GitGuardian supports that. We get a lot of information on every secret that gets committed, so we know the full history of a secret.
Secure your AI agents before attackers exploit them
Join forward-thinking security teams who are shifting left and preventing AI-powered breaches.
Agentic AI Security Resources
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Discover how and why identity, trust, and access control must evolve to keep automation safe.
A Look Into the Secrets of MCP: The New Secret Leak Source
MCP rapidly enhances AI capabilities but introduces security challenges through its distributed architecture.
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