AI Identity vs Holistic AI
Holistic AI governs whether AI systems are fair, explainable, and compliant with regulations. AI Identity governs what AI agents actually do at runtime and produces tamper-evident forensic evidence of every action. Together, they cover the full governance stack.
Feature Comparison
Side-by-side breakdown of capabilities that matter for production AI agent deployments.
Where Holistic AI Falls Short for AI Agents
Holistic AI defines the rules. It cannot make agents follow them.
Compliance Governance, Not Security Enforcement
Holistic AI's platform governs whether AI systems are fair, explainable, and compliant on paper. It does not enforce what an agent can do at runtime. There is no gateway intercepting agent traffic, no policy evaluation before execution, and no mechanism to block an unauthorized agent action.
Model-Centric, Not Agent-Action-Centric
Holistic AI was built to govern AI models as software artifacts — testing for bias, drift, and toxicity. But governing a model is not the same as governing what a running agent does with live credentials, tools, and APIs. Agent governance requires identity, permissions, and enforcement at the action level.
Audit Trail Is Compliance Documentation, Not Forensic Evidence
Holistic AI's audit records demonstrate that testing occurred and risks were assessed. They cannot reconstruct a specific agent's decision path with tamper-evident chain-of-custody. The difference: their trail proves you did a risk assessment; ours proves what the agent actually did.
No Spending Controls
Autonomous agents calling external APIs create real financial exposure. Holistic AI's compliance framework does not address per-agent, per-tool spending limits — a critical control for agents making autonomous API calls.
Why Teams Choose AI Identity
Holistic AI tells you the rules. AI Identity makes sure agents follow them.
Runtime Enforcement
Every agent request evaluates against policy before execution. AI Identity doesn't assess compliance after the fact — it enforces it in real time, at the network layer.
Forensic-Grade Evidence
HMAC-SHA256 hash-chained audit trails that reconstruct exactly what an agent did, which policy applied, and whether the action was authorized. Independently verifiable, not vendor-trust-dependent.
Agent-First Architecture
Built from the network layer up for AI agents — not extended from model governance, SaaS security, or human IAM. Every design decision assumes autonomous agents as the primary subject.
Complementary to Compliance Platforms
AI Identity is the enforcement and forensics layer that compliance governance platforms like Holistic AI need. Run risk assessments in Holistic AI, enforce the resulting policies and prove compliance through AI Identity's forensic trail.
Ready to govern your AI agents?
Add identity, audit trails, and compliance to your agent fleet in 15 minutes. No SDK changes required.