Token Security has launched its AI Discovery Engine and Token AI Agent, two transformative tools designed to enhance visibility and governance of non-human identities (NHIs) in the era of agentic AI. These innovations address the growing complexity of securing AI agents and machine identities across enterprise environments, providing unmatched control and real-time insights.
Token Security introduces AI Discovery Engine for non-human identities.
Token AI Agent enables natural language interaction for security queries.
Offers complete visibility into AI agents and their interactions.
Identifies risky NHIs and provides guided remediation scripts.
Built on Model Context Protocol for secure AI integration.
Enhances governance of agentic AI workflows at scale.
The AI Discovery Engine is the first solution tailored to reveal the full scope of AI-related NHIs, addressing the critical need for visibility as AI agents proliferate. “This isn’t just another discovery and inventory tool. We are providing the foundation for secure AI transformation,” said Itamar Apelblat, Co-Founder and CEO of Token Security. The engine identifies all NHIs, workloads consuming AI services, and their interactions across systems and clouds, enabling organizations to manage the expanding attack surface driven by AI agent sprawl.
The Token AI Agent, leveraging the Model Context Protocol (MCP), offers a natural language interface for real-time security queries. Security teams can ask questions like, “Which identities haven’t rotated secrets in 90 days?” or “What are the ‘top 5’ riskiest NHIs?” to gain instant insights and remediation guidance. “With these new capabilities, we’re enabling the shift from fragmented visibility to real-time, agent-driven intelligence to rapidly identify and mitigate critical security risks,” said Nissim Pariente, Chief Product Officer at Token Security. This streamlines workflows across inventory, threat detection, and secrets management.
As enterprises deploy autonomous AI agents at scale, traditional identity management tools struggle to keep pace. The AI Discovery Engine provides agent-aware intelligence, mapping how AI agents leverage credentials and resources. This visibility is crucial, as NHIs outnumber human identities by up to 45:1 in enterprises, with 23.7 million secrets exposed on GitHub in 2024 due to poor NHI governance. The Token AI Agent empowers teams to enforce least privilege and mitigate risks like privilege escalation and credential sprawl.
The combined power of the AI Discovery Engine and Token AI Agent forms a comprehensive solution for governing agentic AI environments. By offering dynamic querying and actionable insights, Token Security enables organizations to stay ahead of AI-driven threats while supporting rapid innovation. The platform’s integration with MCP ensures secure, standardized interactions, aligning with emerging standards for AI agent security.
Token Security’s latest innovations position it as a leader in securing the agentic future, empowering enterprises to manage AI-driven workflows with confidence and precision.
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