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PlainID

Comparison

PlainID vs Zenity

PlainID authorizes every AI agent action: prompt, retrieval, tool call, and output, whether it looks routine or not. Zenity's runtime layer blocks the ones that trip a rule. Here is the feature-by-feature breakdown, sourced and dated.

Best for
Authorizing every AI agent action, not just flagged ones
Zenity best for
Agent inventory, posture risk, and threat detection
Category
Runtime authorization vs. AI security posture management

Where the two actually differ

Every verdict below carries a written reason, not just a mark, including where Zenity has the edge, so it holds up whether a person is reading it or an AI assistant is summarizing it.

CapabilityPlainIDZenity
Runtime Action Enforcement

Full coverage: Every action, every time

Authorizes each action based on identity, intent, and context, not only the ones that trip a rule.

Partial coverage: Circuit breaker only

Runtime Boundaries evaluate actions against posture rules and threat signals: allow, block, or shut down.

AI & Data Flow Coverage

Full coverage: Full flow

Prompt, data retrieval, tool calls, and output, every step decisioned in real time.

Partial coverage: Posture and access layer

Covers agent permissions, configuration, and integrations; not documented at the data or output layer.

Data Layer Protection

Full coverage: Row, column, and field-level

Pre-retrieval RAG filtering plus fine-grained enforcement at the data platform layer.

Gap / limitation: Not documented

Public materials describe permission and configuration governance, not data-layer filtering.

LLM Output Masking

Full coverage: Dynamic masking

Sensitive data in AI-generated responses is intercepted and redacted before it reaches the user.

Gap / limitation: Not documented

No public documentation of output-level masking or redaction.

Identity & Accountability

Full coverage: Runtime binding

Every agent action is constrained by the initiating human's real-time entitlements, evaluated before the action happens.

Partial coverage: Behavioral correlation

Correlates identity from Okta and Microsoft Entra with agent behavior to flag deviation after it occurs.

Standing Privilege Model

Full coverage: Zero Standing Privileges

Access is minted just-in-time, per action, and revoked immediately after use.

Partial coverage: Least-privilege posture checks

Flags excessive privileges against policy, evaluated primarily before an agent goes live.

Threat & Anomaly Detection

Gap / limitation: Not the product's focus

PlainID authorizes actions; it does not detect prompt injection or anomalous agent behavior.

Full coverage: Built for this

Detects and responds to prompt injection, over-permissioning, and autonomous deviation, aligned to OWASP and MITRE ATLAS.

  • Full coverage
  • Partial coverage
  • Gap / limitation

Which one actually fits your team

PlainID and Zenity are not solving the same problem. Here's the honest split.

AI security posture management

Choose Zenity when you:

  • Need to inventory and discover every AI agent across SaaS, cloud, and endpoints first
  • Want prompt-injection and anomalous-behavior detection aligned to OWASP and MITRE ATLAS
  • Are focused on pre-deployment configuration and permission risk scoring
  • Already run Okta or Microsoft Entra and want identity-behavior correlation for security operations

PlainID control plane

Policy & control plane (PlainID)

Choose PlainID when you:

  • Need every agent action authorized, not just the ones that trip a threat rule
  • Require data-layer masking and RAG pre-retrieval filtering enforced natively
  • Want the initiating human's entitlements bound into every downstream agent action
  • Need true Zero Standing Privileges, minted per action, not periodic least-privilege reviews

Trusted to enforce authorization at enterprise scale

50%+

Of successful cybersecurity attacks against AI agents will exploit access control issues through 2029 — Gartner, "How to Secure Custom-Built AI Agents," 11 June 2025

2B+

Authorization decisions processed annually, built for high-scale, real-time enforcement across complex environments

F500

Fortune 500 enterprises trust PlainID to secure millions of identities, recognized by Gartner and KuppingerCole in authorization and security platforms

What actually happens when you add runtime authorization

  1. Policy mapping, weeks 1–2

    Existing agent inventory and Zenity posture policy are mapped to PlainID's authorization model.

  2. Parallel enforcement, weeks 3–4

    PlainID's authorization decisions run alongside Zenity's posture monitoring so teams can validate before cutover.

  3. Full runtime enforcement, weeks 5–6

    Every agent action is authorized by PlainID in production, while Zenity continues discovery, posture scoring, and threat detection.

Comparing other AI agent security options?

Common questions

PlainID and Zenity both address AI agent security, but at different layers. Zenity discovers agents, evaluates permissions and configuration, and can block or shut down an agent when it detects a threat or violation. PlainID authorizes every single agent action, prompt, retrieval, tool call, and output, whether or not anything looks suspicious, and adds data-layer and output masking Zenity does not document.

Teams add PlainID when they need every agent action authorized, not just the ones that trip a posture rule or threat signal, and when they need data-layer protections like RAG pre-retrieval filtering and LLM output masking that Zenity's platform does not document.

No. PlainID does not replace Zenity's agent discovery, posture management, or threat detection. It is an additive runtime authorization layer: Zenity governs agent posture and detects violations, PlainID decides whether each specific action should be permitted, every time.

A typical rollout runs about six weeks: two weeks mapping existing agent inventory and posture policy to PlainID's authorization model, two weeks running PlainID's authorization decisions alongside Zenity's monitoring in parallel, and two weeks moving to full runtime enforcement in production.

No. Threat and anomaly detection, prompt injection, over-permissioning, autonomous deviation, is Zenity's focus, aligned to OWASP and MITRE ATLAS. PlainID's job is different: it authorizes every action based on identity, intent, context, and data sensitivity, whether or not anything looks like a threat.

See runtime authorization on your own agents

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