Agentic Fabric governs who AI agents are. PlainID controls what they can access, do,
and expose at the moment of every action.
What will you do when:
The agent has valid access.
The action is still wrong.
An agent’s access was provisioned correctly
but no one enforced what it did at runtime
Sub-agents spawn at runtime.
Governance does not follow.
SailPoint is the authoritative system of record for identity: who agents are, who owns them, what they have been provisioned to access, and whether their entitlements are compliant. Agentic Fabric extends that governance model to AI agents and non-human identities. It answers the right questions at the right layer.
But governance stops at provisioning. Once an AI agent has been given access to a system, SailPoint’s role is complete. PlainID begins there. At every subsequent action that agent takes, PlainID evaluates whether that specific action, on that specific data, at that specific moment, in that specific context, should be permitted or denied. The decision is made in milliseconds. The audit trail is complete and explainable.
When an AI agent is mid-task, Agentic Fabric has already done its job. PlainID is the layer that governs what the agent can access, do, and expose.
Agentic Fabric manages entitlements. PlainID enforces whether a specific action is actually permitted at the moment it is attempted.
No provisioning model can anticipate every combination of action, data, context, and intent an AI agent will encounter in production. Runtime enforcement is the only layer that closes that gap.
Every AI agent operates on behalf of someone. When that relationship is not enforced at runtime, agents can exceed what their initiating human is actually authorized to do.
PlainID binds human identity context into every authorization decision the agent makes. Role, clearance, purpose, and real-time entitlements of the initiating user are factored into each action the agent attempts.
Privilege management does not reach the data layer. Provisioning an agent with access to a data platform is not the same as controlling what data it can retrieve, return, or expose.
PlainID enforces fine-grained access controls directly at the data platform layer. Row-level filtering, column-level masking, and field-level constraints are applied at the moment of retrieval, before data enters the AI pipeline.
In regulated environments, “the agent was compliant” is not an audit response. You need to explain every action: what was requested, what was evaluated, what was permitted, and why. PlainID produces a per-decision audit trail across every step of the agentic workflow: prompt intake, data retrieval, tool and MCP calls, output delivery. Every decision is logged, contextualized, and human-readable.
Discover why Fortune 500 enterprises trust PlainID to securely scale agentic AI systems:
Identity governance for AI agents: discovery, ownership, lifecycle, provisioning
Runtime authorization: whether each specific action is permitted at the moment of execution
At provisioning and lifecycle management
At the exact moment of action, every call, every query, every data retrieval
Least-privilege entitlement management; just-in-time provisioning (Plus tier)
Zero Standing Privileges at the action level; no provisioned access window
Agent identity and provisioned entitlements
Every step of the agentic flow: prompt, data retrieval, tool/MCP call, output
Relationship mapping to data assets
Fine-grained enforcement at the data platform: row, column, and field-level filtering
Agent linked to human owner as a governance record
Human identity context injected into runtime authorization: agent actions constrained by initiating user’s clearance, role, and purpose
Inventory-based: requires discovered and registered agents
Enforces on all agents, including those spawned dynamically at runtime
Lifecycle event tracking
Per-decision audit trail with full explainability for every authorization call
System of record for identity and entitlements
Runtime enforcement layer; works alongside SailPoint, not instead of it
Available summer 2026
Production-ready
SailPoint manages the identity lifecycle. PlainID enforces authorization at runtime. Used together, they cover the full security requirement for agentic AI.
SailPoint ensures every AI agent is discovered, owned, governed, and provisioned with the right entitlements.
PlainID ensures those entitlements are exercised correctly, at every action, with full auditability, at enterprise scale.
Neither product alone closes the loop. Together, they define what AI-era identity security actually looks like in production.
PlainID’s Runtime Authorization Platform is designed for how AI systems actually operate by accessing data, invoking tools, and making decisions across systems in real time.
This is the critical control layer missing from traditional IAM. Every decision evaluates:
Access exists only when it’s needed, and only for the exact purpose it’s required. It’s later revoked immediately after use.
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. and internationally and is used herein with permission. All rights reserved.
Privilege management determines who can access your environment. Runtime authorization governs what happens inside it, at agent speed, at enterprise scale, at the moment of every action.
See how it works in your environment.
Privilege management determines who can access your environment. Runtime authorization governs what happens inside it, at agent speed, at enterprise scale, at the moment of every action.