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PlainID

Comparison

PlainID vs Veza

Veza shows you who can access what. PlainID controls what AI agents do with it, at the moment they act. Here's the feature-by-feature breakdown, sourced and dated.

See How PlainID Enforces the AI FlowJump to comparison table ↓
PlainID best for
Runtime authorization of AI agent actions
Veza best for
Identity visibility & access reviews
Works together
Yes, adds on top, no rip-and-replace

Where the two actually differ

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

CapabilityPlainIDVeza
AI & data flow coverage

Full coverage: Full flow enforcement

Enforces prompt intent, data retrieval, tool/MCP calls, and output, at the moment each occurs.

Partial coverage: Entitlement mapping only

Maps identity-to-entitlement relationships across apps, data, and AI agents; does not evaluate individual actions.

Decision model

Full coverage: Real-time, per action

Runtime authorization evaluated on every action, with live context.

Partial coverage: Periodic reviews

Periodic and triggered access reviews against mapped entitlements, run on a cycle.

Data layer protection

Full coverage: Granular enforcement

Row, column, and field-level enforcement, including pre-retrieval filtering.

Partial coverage: Visibility only

Visibility into which datasets an identity can reach.

LLM output handling

Full coverage: Included

Dynamically masks sensitive data in AI-generated output before it reaches the user.

Gap / limitation: Not documented

No publicly documented mechanism for masking AI-generated output, as of 21 Jul 2026.

Identity & accountability

Full coverage: Human + agent binding

Binds the initiating human's real-time entitlements into every agent action.

Partial coverage: Identity discovery

Discovers and maps human, machine, and AI agent identities.

Prevention model

Full coverage: Zero Standing Privileges

Access minted just-in-time, scoped to the action, revoked immediately after.

Partial coverage: Review-cycle least privilege

Least privilege enforced through review cycles, not evaluated per action.

Audit & explainability

Full coverage: Full decision-level audit

Explainability for every authorization decision, at agent speed, at enterprise scale.

Full coverage: Included

Visualizes access relationships for audits and reviews.

  • Full coverage
  • Partial coverage
  • Gap / limitation

Which one actually fits your problem

Veza and PlainID solve different problems. Most enterprises running AI agents at scale need both.

Identity visibility & access reviews

Choose Veza when you:

  • Need to map and visualize entitlements across a large, sprawling identity landscape first
  • Run periodic access reviews and certification campaigns as a primary control
  • Want a single graph covering human, machine, and AI agent identities for audit and posture reporting
  • Are earlier in the journey and want visibility before enforcing policy at runtime

PlainID control plane

Policy & control plane (PlainID)

Choose PlainID when you:

  • Need to authorize AI agent actions in real time, not just review access after the fact
  • Want prompt-level, tool/MCP-level, and output-level enforcement across the full agentic flow
  • Are held to explainability and audit requirements for every AI agent decision
  • Already have an access graph or identity governance layer and need runtime enforcement on top of it

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 PlainID

Veza's Access Graph does not get replaced. It becomes the identity foundation PlainID enforces on top of.

  1. Connect to what Veza already maps

    PlainID connects to your existing Veza Access Graph and identity sources. No separate discovery project.

  2. Turn on runtime enforcement

    PlainID evaluates prompt, retrieval, tool/MCP, and output decisions in real time, using the identities Veza already maps.

  3. Keep your review cadence

    Veza's periodic access reviews continue unchanged. PlainID adds the per-action layer that runs between reviews.

Comparing other options?

Common questions

Veza maps identity entitlements and access relationships across human, machine, and AI agent identities. PlainID enforces authorization decisions in real time, at the moment an AI agent acts. The two operate at different layers: visibility versus runtime control.

No. PlainID is built to work alongside Veza's Access Graph and existing access review process. Enterprises running Veza for identity visibility add PlainID as the runtime enforcement layer on top, with no rip-and-replace.

Based on what is publicly documented as of 21 July 2026, Veza does not document prompt-level intent evaluation, per-action tool/MCP call enforcement, or masking of AI-generated output. PlainID enforces all three natively.

No. Veza's AI Agent Security product provides visibility into third-party AI agents, LLMs, AI apps, and MCP infrastructure, the same governance model Veza applies to other identity types. PlainID evaluates and authorizes each individual action an agent takes, in real time.

Yes. Veza was acquired by ServiceNow in December 2025 and now operates inside ServiceNow's Autonomous Security & Risk suite alongside Armis. That consolidation changes who owns the graph. It does not change the underlying gap: an entitlement map, wherever it lives, is not a runtime decision engine.

Your Access Graph knows what agents can reach. Does anything decide what they can do?

See runtime authorization on your own AI agents. 30 minutes, your environment, no generic slide deck.

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