Best Agentic Identity and Security (AISP) Platforms for Datadog

Compare the Top Agentic Identity and Security (AISP) Platforms that integrates with Datadog as of November 2025

This a list of Agentic Identity and Security (AISP) Platforms that integrates with Datadog. Use the filters on the left to add additional filters for products that have integrations with Datadog. View the products that work with Datadog in the table below.

What is Agentic Identity and Security (AISP) Platforms for Datadog?

Agentic Identity and Security Platforms (AISPs) enable enterprises to assign, manage, and govern digital identities for autonomous AI agents and non-human actors, treating them as first-class identities rather than simply service accounts. They provide real-time policy enforcement, dynamic credentialing, continuous audit trails and access governance across human, machine and agentic identities. In a world where AI agents act on behalf of users, make decisions, access systems and execute workflows, traditional identity management models (built for humans or static service accounts) are no longer sufficient. AISPs close the “access-trust gap” that emerges when autonomous agents perform tasks, enabling organizations to maintain compliance, least-privilege access, and visibility into agent behaviour. By embedding identity-first security into AI-agent lifecycles, these platforms protect against impersonation, privilege escalation, credential misuse and rogue-agent risks in modern automated environments. Compare and read user reviews of the best Agentic Identity and Security (AISP) Platforms for Datadog currently available using the table below. This list is updated regularly.

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    Token Security

    Token Security

    Token Security

    Token Security accelerates secure enterprise adoption of Agentic AI by discovering, managing, and governing every AI agent and non-human identity across the organization. From continuous visibility to least-privilege enforcement and lifecycle management, Token Security provides complete control over AI and machine identities, eliminating blind spots, reducing risk, and ensuring compliance at scale.
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