Strata Identity, a leader in identity orchestration, announced that Gartner has recognized the company as a Sample Vendor in its Emerging Tech Impact Radar: Global Attack Surface Grid report, released on September 17, 2025. Strata was highlighted in the Agentic Identities category.
Gartner defines agentic identities as distinct, verifiable digital identities assigned to AI agents that operate autonomously to achieve defined objectives. These identities represent a new type of enterprise user, requiring specialized governance solutions that combine policy frameworks with advanced enforcement tools.
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Eric Olden, CEO of Strata Identity, commented, “Being named a Sample Vendor by Gartner reinforces our belief that identity management must evolve alongside the growing presence of AI agents. As these autonomous systems expand in scope and complexity, enterprises will need identity orchestration capable of applying zero-trust principles and full life cycle management to agentic identities.”
The report also notes that current cybersecurity and IAM frameworks are insufficient to manage the risks introduced by dynamic, short-lived, and delegated AI agents. Gartner emphasizes that as adoption of agentic AI increases, security providers will need to develop innovative solutions to secure these agents effectively. The report underscores the significant challenge of rearchitecting IAM life cycles and controls to treat AI agents as new or hybrid entities.
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Strata’s Maverics platform addresses these challenges by treating AI agents as fully recognized identities, equivalent to human users, under a zero-trust model. Every agent action is observable, auditable, and policy-enforced in real time. Maverics generates short-lived, scoped credentials at runtime, applying fine-grained, policy-as-code authorization, including human-in-the-loop approval for critical operations. Its identity-aware, MCP-native proxy enforces these policies without requiring changes to existing applications or microservices.
Gartner predicts rapid adoption of agentic identities, estimating that by 2026, 40% of enterprise applications will integrate task-specific AI agents, up from under 5% today. This trend underscores the growing need for robust security measures tailored to agentic identities, ensuring that enterprises can scale these autonomous systems safely.
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