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HomeNews & Current EventsToken Security Launches New AI-Powered Tools to Secure Autonomous...

Token Security Launches New AI-Powered Tools to Secure Autonomous AI Systems

TLDR: Token Security has introduced an AI Discovery Engine and a conversational AI Agent to provide enhanced visibility and control over the increasing number of non-human identities and AI agents within enterprise environments. These tools are designed to address the security challenges posed by the rapid adoption of agentic AI.

Token Security, a leader in Non-Human Identity (NHI) security, today announced the launch of two innovative products aimed at securing the future of agentic AI: an AI Discovery Engine for NHIs and the Token AI Agent. These tools are designed to help enterprises discover, manage, and secure the growing landscape of AI agents and machine identities.

The announcement comes as organizations are increasingly deploying autonomous AI agents and complex automated workflows. Traditional security tools are struggling to keep up with the scale and speed of these new technologies, creating a need for AI-native security solutions.

The new AI Discovery Engine is the first of its kind, offering complete visibility into all non-human identities and workloads that use AI services. It can identify which AI agents are using specific identities and resources, and provides insights into how these agents interact across different systems and cloud environments.

“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 agentic future demands dynamic AI discovery and agile security, combined with context from across your ecosystem, to put you in control of your organization’s agentic AI infrastructure and employee AI adoption.”

Complementing the discovery engine is the Token AI Agent, a conversational interface that allows security teams to interact with the Token Security platform using natural language. This enables real-time queries and responses, making it easier to manage and secure the AI infrastructure. The agent is built on Token’s proprietary Model Context Protocol (MCP).

Nissim Pariente, Chief Product Officer at Token Security, stated, “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.”

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Together, the AI Discovery Engine and the Token AI Agent provide a comprehensive solution for governing AI-native security environments. By offering both deep visibility and intuitive control, Token Security aims to empower organizations to embrace the benefits of agentic AI while maintaining a strong security posture.

Dev Sundaram
Dev Sundaramhttps://blogs.edgentiq.com
Dev Sundaram is an investigative tech journalist with a nose for exclusives and leaks. With stints in cybersecurity and enterprise AI reporting, Dev thrives on breaking big stories—product launches, funding rounds, regulatory shifts—and giving them context. He believes journalism should push the AI industry toward transparency and accountability, especially as Generative AI becomes mainstream. You can reach him out at: [email protected]

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