Autonomous agents need operational boundaries.
GuardPrompt validates, tests, certifies, and enforces AI agent behavior before agents access tools, data, memory, or enterprise systems.
Deployment Decision
CertifiedThe shift
Agents are becoming operational actors.
Modern AI agents invoke tools, call APIs, retrieve sensitive data, use memory, and delegate tasks. Traditional controls were built for humans, applications, and cloud workloads — not adaptive agents whose behavior emerges from prompts, tools, context, and runtime state.
Behavior Contracts
Define what an agent is allowed to do: tools, data, memory, delegation, approvals, and runtime constraints.
Adversarial Testing
Simulate prompt injection, privilege escalation, tool misuse, exfiltration, and approval bypass before deployment.
Deployment Certificates
Generate evidence that an agent was validated against its approved behavioral boundary before production access.
Runtime Boundary Enforcement
Govern the transition from reasoning to action through policy-aware execution and enforcement points.
Assurance pipeline
Core principle
Govern actions, not thoughts.
Agents may reason dynamically. GuardPrompt governs the transition from reasoning to action through explicit contracts, security validation, signed certificates, and runtime boundary enforcement.
agent: name: finance-assistant owner: finance-platform allowed_tools: - policy_search - invoice_lookup denied_tools: - shell - external_email - secrets_read requires_approval: - payment_change - bulk_export memory: pii_storage: false retention_days: 30 delegation: allowed: false
Built for the agentic software lifecycle.
GuardPrompt is designed to become a deployment gate for AI agents: scan the agent, validate the contract, run adversarial simulations, issue a certificate, and enforce runtime boundaries before production access is granted.