Platform
The assurance layer for the agentic software lifecycle.
GuardPrompt fits into the development and deployment workflow for autonomous AI agents before they receive production access to tools, memory, APIs, or enterprise systems.
1. Agent Intake
Inspect prompts, tools, MCP servers, memory settings, model configuration, identities, and runtime permissions.
2. Contract Validation
Compare implementation details against approved behavior contracts and flag mismatches before deployment.
3. Adversarial Simulation
Run tests for prompt injection, unsafe tool use, privilege escalation, approval bypass, and data exfiltration.
4. Assurance Certificate
Generate signed evidence tied to the repo commit, contract hash, tool manifest, and policy pack.
5. Runtime Boundary
Future enforcement layer that evaluates high-risk actions before tools, APIs, or enterprise systems are invoked.
From scanner to deployment gate.
The first release focuses on a CLI-based assurance workflow. Later releases extend into CI/CD integrations, policy packs, signed certificates, and runtime enforcement points for high-risk agent actions.