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PlainID

Comparison

PlainID vs Ping Identity

Ping establishes who your AI agents are. PlainID controls what they can access, do, and expose at the moment of every action. Where Ping sets the identity boundary, PlainID enforces what happens inside it.

PlainID best for
Runtime authorization across prompt, data, tools & output
Ping best for
Registering agents as identities & scoping delegated authority
Relationship
Works alongside Ping — no rip-and-replace

How PlainID differs from Ping Identity for agentic AI

Ping's Identity for AI suite pairs Agent Gateway with PingAuthorize. Here's where it diverges from PlainID, capability by capability.

Capability areaPlainIDOkta / Auth0 for AI agents
Coverage scope

Full coverage: End-to-end

True end-to-end control across Agentic, Data, APIs, Microservices and Apps: Prompt → Data → Tools → Output.

Partial coverage: API boundary

Token-based, or in-application, for APIs only.

Data layer protection

Full coverage: Row, column & field

Fine-grained enforcement, including RAG pipelines and vector databases.

Partial coverage: API-only filtering

No visibility into unstructured AI data or RAG pipelines.

LLM output masking

Full coverage: Masks generated output

Intercepts and masks sensitive data in LLM-generated responses before delivery.

Partial coverage: Structured fields only

Can mask structured API response fields; no visibility into synthesized LLM output.

Decision enforcement

Full coverage: Bound at runtime

Every action tied to human and agent identities, with clear ownership and scope.

Gap / limitation: Governed separately

No binding of an agent's action to the end user behind it.

Prevention model

Full coverage: Zero Standing Privileges

Proactive enforcement, with access granted per action.

Gap / limitation: Static least privilege

OAuth scopes set at delegation time.

Dynamic runtime agents

Full coverage: All agents

Enforces on every agent, including those spawned dynamically at runtime.

Partial coverage: Registered agents

Dynamically spawned agents may be out of scope.

Data access controls

Full coverage: Business-context aware

Enforced before data is retrieved or exposed, with built-in output masking, for all data types.

Partial coverage: Table or object level

No business context.

API / MCP access controls

Full coverage: Full transaction

Controls access, adapts parameter input, and masks the response.

Partial coverage: Access only

Controls API/MCP access with tokens and scopes.

Packaging & deployment

Full coverage: Unified

Out-of-the-box enforcement across APIs, data, and AI agent frameworks.

Partial coverage: Two products

Agent Gateway and PingAuthorize, each purchased and integrated separately.

  • Full coverage
  • Partial coverage
  • Gap / limitation

Ping verifies the agent. PlainID authorizes every action it takes.

Ping's Identity for AI suite does what IAM should do for the agent era. That's necessary infrastructure. But a confirmed identity is not an authorization decision. When an agent acts, a different question applies: should this action, on this data, in this context, be permitted right now?

Identity provider

What Ping handles

  • Registering AI agents as trusted identities
  • Scoping delegated authority, linking an agent token to a human user
  • Least privilege at the tool and API layer through Agent Gateway
  • Attribute-based access control at the structured API layer through PingAuthorize

PlainID control plane

What PlainID handles & adds

  • Authorization across the full agentic flow: prompt, data, tools, and output
  • Pre-retrieval RAG filtering and row, column, and field-level data controls
  • Dynamic masking of sensitive data in LLM-generated responses
  • Runtime binding of human and agent identities, with Zero Standing Privileges per action

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

Four gaps PlainID closes inside the Ping boundary

Where Ping establishes the identity boundary, PlainID enforces what happens within it.

  1. Full AI flow coverage, not just APIs

    Agent Gateway and PingAuthorize secure the tool and API boundary. PlainID blocks unauthorized intent before execution, filters what data can be accessed, governs which tools agents can invoke, and masks what is exposed.

  2. Data layer protection and output masking

    PingAuthorize provides ABAC at the structured API layer, but has no visibility into the LLM's context window. PlainID enforces fine-grained controls at the unstructured data layer: pre-retrieval RAG filtering keeps the agent from retrieving what it shouldn't, and dynamic output masking redacts sensitive data in the response before it reaches the user.

  3. Human and agent identities bound at runtime

    Ping links an agent token to a human user at registration. A delegation record is not runtime binding. PlainID brings the initiating human's real-time entitlements, role, and clearance into every downstream decision. An agent cannot access what its human cannot access, checked at every call.

  4. Continuous Zero Standing Privileges

    Least privilege at the delegation scope still relies on standing permissions. PlainID grants access just-in-time, per action, based on current context, purpose, and policy, and revokes it immediately after use.

Comparing other options?

Runtime decisioning in place of one-time checks

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.

  1. Runtime decisioning

    Every request is evaluated in the moment it happens, not just once at login.

  2. Intent-based enforcement

    Access is tied to every action's actual intent, not a static role or standing token.

  3. Context-aware policies

    Consistent policies applied across APIs, data, and AI — evaluating the human user, the AI agent, and the intent together.

  4. Zero Standing Privileges

    Access exists only when it's needed, for the exact purpose required, and is revoked immediately after use.

Common questions

Ping Identity verifies identity: it registers agents as trusted identities, scopes their delegated authority, and enforces least privilege at the tool layer. PlainID controls what AI agents can actually do across the entire agentic flow — blocking unauthorized intent before execution, filtering what data can be accessed, governing which tools agents can invoke, and masking what is exposed.

No. PlainID works alongside Ping. Ping establishes the identity boundary; PlainID enforces what happens inside it. Enterprises running Ping can add PlainID to govern what their agents access, retrieve, and expose without replacing their IAM.

PingAuthorize provides attribute-based access control at the structured API layer and can mask structured API response fields. It has no visibility into unstructured AI data, RAG pipelines, or synthesized LLM output. PlainID enforces at the data layer, filters retrieval before it happens, and masks sensitive data in AI-generated responses.

Delegated authority links an agent token to a human user at registration. Runtime binding brings that human's current entitlements, role, and clearance into every decision the agent makes downstream, so an agent can never access what its initiating human cannot — checked at the moment of every call.

PlainID enforces on all agents, including those spawned dynamically at runtime. Identity-registration models enforce on registered agents, so dynamically spawned sub-agents may operate outside their scope.

Control what your AI agents actually do

Extend Ping with real-time authorization across AI, APIs, data, and applications. You don't need to replace your IAM stack.