eMudhra has launched its Agentic AI Security Platform, a trust infrastructure designed to secure autonomous AI systems by providing verifiable identity, authentication, and governance controls for AI agents operating across enterprise and public digital environments. The platform addresses a growing challenge as organizations deploy AI agents capable of making decisions, executing transactions, and interacting with digital infrastructure without direct human oversight. Without verifiable identity and trust mechanisms, autonomous systems pose significant security and operational risks, including impersonation, unauthorized actions, and systemic failures.

The company’s new platform enables organizations to establish cryptographic identities for AI agents, enforce policy-driven authorization, and maintain verifiable audit trails for AI-initiated actions. The system is designed to integrate with enterprise security environments and digital public infrastructure (DPI), supporting secure machine-to-machine interactions at scale.

The platform provides cryptographic identity and lifecycle management for AI agents, policy-based authorization and transaction controls, secure credentials designed for post-quantum readiness, continuous monitoring and auditability of autonomous actions, and integration with enterprise identity, PKI, and trust services.

eMudhra is the largest licensed Certifying Authority in India. It is engaged in the business of providing Digital Trust Services and Enterprise Solutions to individuals and organisations functioning in various industries.