Verigrey is an agent lifecycle assurance platform that tests AI agents for security, policy compliance, and behavioral violations during both pre-deployment and runtime phases, without requiring source code access. The platform generates regulator-ready evidence mapped to frameworks like OWASP Agentic Top 10 and MITRE ATLAS, with benchmarks showing it detects significantly more violations than alternatives. It addresses the gap where only 14% of deployed agents receive full security and IT sign-off.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise AI agent deployments are accelerating rapidly, yet most agents go live without passing full security and IT governance checks. Current testing approaches fail to address how agents actually fail in production, leaving organizations exposed to rogue behavior, silent failures, and policy violations across internal workflows, customer-facing systems, and third-party integrations.
Solution
Verigrey provides a full-lifecycle agent assurance platform that combines pre-deployment and runtime testing in a single solution. The platform conducts adaptive testing of security, policy compliance, and behavior without requiring access to source code. It continuously monitors agents across three detection classes and delivers a live violation feed to identify issues as they occur. Verigrey generates regulator-ready evidence mapped to frameworks auditors already use, including OWASP Agentic Top 10, MITRE ATLAS, NIST AI RMF, NYDFS 500, and GLBA, with additional framework support in development. Benchmarks show the platform detects significantly more violations than alternative approaches, making it effective for both initial validation and ongoing operations.
Target Audience
Security, IT, and compliance teams at enterprises deploying AI agents across internal workflows, customer-facing systems, vendor-integrated applications, or employee-created shadow agents.
Features
- Adaptive testing engine covering security, policy compliance, and behavioral analysis across three detection classes
- Runtime monitoring with a live violation feed for real-time visibility into agent behavior
- No source code required for testing, enabling assessment of vendor, embedded, and shadow agents
- Regulator-ready evidence mapped to OWASP Agentic Top 10, MITRE ATLAS, NIST AI RMF, NYDFS 500, and GLBA frameworks
- Support for upcoming compliance frameworks including SOX, SR 11-7, HIPAA, CPNI, CISA, PDPA, and GDPR
- Benchmark-validated detection capability identifying 9x more violations in independent testing