Through 2029, over 50% of successful
cybersecurity attacks against AI agents
will exploit access control issues.
Gartner, How to Secure Custom-Built AI Agents, Dionisio Zumerle, Jeremy D’Hoinne, 11 June 2025
GARTNER is a registered trade mark and service mark of Gartner, Inc. and/ or its affiliates in the U.S.
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PlainID: The Market-Leading Authorization Platform for the Agentic AI Era — trusted by Fortune 2000 enterprises, proven at scale.
PlainID: Secure the Entire AI Flow with Enterprise-Grade Authorization
Control the Prompt
Enforce query authorization so agents only ask within approved scope. Block attempts to extract sensitive data before retrieval.
Control the Data
Apply policy-based guardrails to manage who can access which data, in real time, by identity and context. Prevent retrieval of unauthorized documents.
Control the Tools (Beta)
With MCP, govern which services and tools agents can invoke. Context-aware access ensures only the right identities can use the right tools.
Control the Response
Mask and filter generated responses to avoid exposing sensitive or unauthorized insights. Keep output secure, compliant, and controlled.
Privilege Escalation
Agentic AI acts on behalf of users or systems with insufficient enforcement of contextual identity and permissions, leading to unauthorized access to sensitive data or restricted actions.
Data Exposure
Gaps in access control may lead to regulatory and compliance failures, increasing the risk of fines and legal consequences. Breaches erode trust and brand value, resulting in reputation damage.
Lack of Auditability
Multi-step reasoning and external calls (APIs, tools, data) make it difficult to trace and verify which services and data were accessed.
Ensure every AI action is tied to the right identity and entitlements, supporting zero trust.
Reduce data exposure and unauthorized actions with real-time controls.
Ensure regulatory compliance with continuous, auditable access decisions.
Manage access at every stage: prompt, data retrieval, tools, and response.
MCP Control (Beta)
Govern the Expanding AI Landscape
As AI agents extend beyond simple prompts into full agentic workflows—calling external tools, databases, and APIs via the Model Context Protocol (MCP)—PlainID applies dynamic authorization to govern exactly which tools, APIs, and data agents can access.
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End-to-End AI Flow Guardrails: Enforce identity-aware controls from prompt to response, covering data retrieval, tool/API access, and output generation.
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Enterprise-Ready Scale: Trusted by Fortune 500s and proven in complex, high-volume environments — ensuring your AI access controls scale securely with enterprise demands today and tomorrow.
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Identity-First Enforcement: Support for people, devices, services, and AI agents, with context-aware decisions at every stage of the AI flow.
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Business and Code Alignment: Simple for stakeholders to review, Policy-as-Code for developers to implement, fully integrated with enterprise AI.
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Granular Permissions: Enforce least-privilege, fine-grained entitlements for both users and AI agents, ensuring no excessive access rights.
