Zenity flags what your AI agents shouldn’t do. PlainID decides what every agent can access, do, and expose, at the moment it acts.
What will you do when:
An agent’s permissions pass every posture check
but nobody evaluates whether this specific retrieval, for this specific task, should happen right now?
No rule is violated and no threat is detected
so the action goes through, exposing 10x more data than the task required?
An agent’s response blends sensitive fields from three different systems
and nothing inspects what leaves before it reaches the user?
Zenity’s platform does what AI security posture management should do for the agent era: it discovers agents across your environment, evaluates their permissions and configuration against policy, and can block or shut an agent down the moment it detects a violation or a threat. That is necessary infrastructure.
But catching a violation is not the same as making an authorization decision. The moment an agent acts, retrieving data, invoking a tool, returning a response, a different question applies: should this specific action, on this specific data, in this specific context, right now, be permitted? Zenity answers that question when something looks wrong. PlainID answers it every time, whether anything looks wrong or not.
Where Zenity governs the exception, PlainID enforces the routine, and everything in between.
Zenity’s Runtime Boundaries evaluate agent actions against posture rules and threat signals, then let the action through, block it, or shut the agent down. PlainID enforces authorization everywhere decisions actually happen: filtering what data can be retrieved, governing which tools agents can invoke, and masking what is exposed, on every single action, not only the ones that trip a rule.
Zenity governs agent permissions, configuration, and integrations, but does not document control at the data or output layer itself. PlainID enforces fine-grained access controls directly at the unstructured data platform layer. Pre-retrieval RAG filtering ensures the agent never retrieves what it shouldn’t, while built-in dynamic output masking intercepts and redacts sensitive data in the AI-generated response before it reaches the user.
Zenity correlates identity from Okta and Microsoft Entra with what an agent actually does, useful for catching a correctly permissioned agent that quietly turns into a breach. PlainID ties the initiating human’s real-time entitlements, role, and clearance into every authorization decision the agent makes downstream, before the action happens, not after a deviation is flagged.
Zenity’s posture checks flag excessive privileges against a least-privilege policy, evaluated primarily before an agent goes live. PlainID enforces true Zero Standing Privileges (ZSP). Access is granted dynamically, just-in-time, per action, based on current context, purpose, and policy, and revoked immediately after use.
Discover why Fortune 500 enterprises trust PlainID to securely scale agentic AI systems:
Runtime Boundaries evaluate agent actions against posture rules and threat signals: allow, block, or shut down
True end-to-end control across the AI flow: Prompt → Data → Tools → Output, decisioned on every action
Circuit-breaker enforcement, triggered by a detected policy violation or threat
Real-time, policy-driven authorization evaluated on every action, threat or not
Governs agent permissions, configuration, and integrations; no documented data-layer filtering
Row, column, and field-level enforcement, including RAG pipelines and vector databases
Not documented
Dynamically intercepts and masks sensitive data in LLM-generated outputs before delivery
Correlates identity (Okta, Entra) with agent behavior to detect deviation after the fact
Runtime binding: every agent action constrained by the initiating human’s real-time entitlements
Least-privilege posture checks, evaluated primarily pre-deployment
Zero Standing Privileges minted per action, revoked immediately after
Built to detect and respond to violations: prompt injection, over-permissioning, autonomous deviation
Authorizes every action, whether or not anything looks like a threat
AI security posture layer: discovers agents, scores risk, blocks violations
Runtime authorization layer: decides what every agent can access, do, and expose, every time
Zenity secures the posture. PlainID controls what AI agents can actually do across the entire agentic AI flow.
Zenity discovers agents, evaluates their permissions and configuration, and can block or shut one down when a threat or violation is detected. But that response only fires when something looks wrong. PlainID enforces authorization everywhere decisions actually happen: filtering what data can actually be accessed, governing which tools agents can invoke, and masking what is exposed, on every action, not only the flagged ones.
Enterprises running Zenity for posture management and threat detection do not have to wait to govern what their agents access, retrieve, and expose on every routine call. PlainID works alongside Zenity, filling the runtime decision and data-layer gaps immediately.
PlainID’s Runtime Authorization Platform is designed for how AI systems actually operate: accessing data, invoking tools, and making decisions across systems in real time. It provides centralized management with distributed enforcement across your entire enterprise stack.
This is the critical control layer missing from posture management and threat detection tools. Every decision evaluates:
Access is granted dynamically, just-in-time, per action, based on current context, purpose, and policy, and revoked immediately after use. In the era of 1 billion AI agents, none of them should hold standing access by default.
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.
You don’t need to replace your posture management or threat detection tools to add runtime authorization. Zenity catches misconfiguration and violations. Authentication and posture checks determine whether an agent is set up correctly. Runtime authorization governs what it does on every action after that, flagged or not.
