Credo AI and Holistic AI both sell AI governance platforms. Both inventory AI systems, assess their risk, map controls to frameworks such as the EU AI Act, NIST AI RMF and ISO/IEC 42001, and produce evidence for audits. Both now extend that work to AI agents. Teams searching for Credo AI or Holistic AI alternatives are usually comparing the two, or asking whether a governance platform is the right layer for what they need. This guide covers both vendors on one page, because each is the other's closest alternative. Other vendor guides are on the comparison hub.

What Credo AI covers (as of 17 October 2026)

Credo AI's site says it "created the AI governance category" and is defining it for the agentic era. Its platform sections are:

  • AI Registry. A registry of use cases, models, vendors and agents, with agent cards, shadow AI detection, risk classification and dependency mapping.
  • Risk Intelligence. Continuous, contextual risk assessment, including what Credo AI calls a purpose-built agentic risk and control library for tool misuse, scope drift and inter-agent risk. It describes continuous monitoring, drift detection and alerts through a connection to your observability and monitoring tools.
  • Policy Engine. "Turn policy into code": pre-built policy packs with regulatory intelligence, automated workflows, compliance mapping, and evidence recording for audit.
  • Policy packs for the EU AI Act, NIST AI RMF, ISO 42001, OMB M-25, CO ADMT and NAIC AI, as the site lists them.
  • GAIA (Govern AI Assistant), which the site says is generally available, for AI-assisted intake, registration and risk-to-control mapping.
  • Agent Governor, listed in the product menu as a research preview.

The site says the platform draws on more than 300 integrations, and names Snowflake, Databricks, AWS, ServiceNow, GitHub and MLflow among them. It also lists Fast Company's 2026 Most Innovative Companies ranking, where Credo AI is No. 6 in Applied AI, and a customer quote from Mastercard's Chief Data Officer about its AI Registry and Vendor Registry.

What Holistic AI covers (as of 17 October 2026)

Holistic AI's site organizes its platform as identify, protect and enforce:

  • Identify. Discovery of models, agents and applications across AWS, Azure, GitHub and Databricks, with owners, risk levels, business purpose, and dependency and lineage mapping in one inventory.
  • Protect. Testing of models, LLMs and agents before launch and in production: red teaming for prompt injection and jailbreaks, what Holistic AI calls 40+ tests for bias, hallucination, privacy and robustness, and drift and performance monitoring.
  • Enforce. Controls mapped to the EU AI Act, NIST AI RMF and ISO/IEC 42001, with approvals, deployment gates and human oversight.
  • Guardian Agents. A supervisory layer for agents. Sentinel agents watch tool calls, data access and hand-offs and score them against policy. Operative agents, the site says, can "block or pause non-compliant actions in flight", redirect agents to approved tools and remediate with human escalation.

The site states that Holistic AI is named a Challenger in the 2026 Gartner Magic Quadrant for AI Governance Platforms.

Credo AI and Holistic AI compared

Credo AI Holistic AI
Lead message Regulatory intelligence and policy packs Discovery, testing and enforcement
Inventory Registry of use cases, models, vendors and agents Discovery across cloud, code and data platforms
Testing Risk assessment and control mapping; monitoring through your observability tools Red teaming and 40+ tests for bias, hallucination, privacy and robustness
Agents Agent registry, agentic risk and control library, Agent Governor (research preview) Guardian Agents (Sentinels and Operatives)
Frameworks named EU AI Act, NIST AI RMF, ISO 42001, OMB M-25, CO ADMT, NAIC AI EU AI Act, NIST AI RMF, ISO/IEC 42001

The table reflects each vendor's public site on the date above. Ask both for a demo on your own systems before you rely on any row.

Where governance platforms are strong

  • Regulatory depth. Policy packs and control libraries turn regulation into tasks a compliance team can track. That work takes months to do by hand.
  • One register for every AI system. Models, vendor tools and internal applications sit in one inventory, not only agents.
  • Workflows for people. Intake, risk review, approvals and evidence collection match how risk, legal and compliance teams work.
  • Bias and fairness testing. Both vendors test for risks that agent security tools rarely cover, such as bias and fairness in model outputs.

Why teams evaluate alternatives

  1. Choosing between the two. The overlap is large, so most evaluations include both and test them on the same systems.
  2. A GRC platform already in place. A company that runs a general GRC platform may extend it for AI before it buys a separate tool.
  3. Enforcement on the call path. A governance platform records what a system should do. A control plane decides each live request. Credo AI and Holistic AI now both describe agent controls; ask where each control runs and what it can stop before the action completes.
  4. Evidence an auditor checks offline. Some auditors want signed records they can check without access to the vendor's console.

Alternatives by category

What you need Category Examples covered on this site
AI inventory, risk assessment, policy mapping and compliance evidence AI governance platform Credo AI, Holistic AI
AI added to a GRC program you already run GRC extension See governance platform, GRC extension or control plane
Discovery, testing and runtime protection from a security vendor AI security platform Prisma AIRS, Cisco AI Defense
Agent identity, tool-call decisions, approvals and signed evidence Agent control plane Praesidia

Our AI governance platform RFP checklist lists the questions to send each vendor. The AI governance guide explains how the layers fit together.

Where Praesidia fits

Praesidia is our product. It is a runtime control plane for AI agents, not a governance platform with regulatory intelligence or policy packs. It does not test for bias or fairness. What it does:

  • Identity per agent. Each registered app, agent and MCP server gets its own credentials for authentication and attribution, independent of the humans who deployed it.
  • A decision on each governed tool call. The decision uses the agent's identity, the tool's permission on that connection and the arguments, and, on the Advanced tier and Enterprise, what the agent did just before. New policies start in observe mode; denials and holds apply once a policy is set to enforce.
  • Approvals. A step-up rule turns an MCP tool call into a durable approval request that expires if nobody answers.
  • Guardrails in the model gateway. Rule matches can block, warn, redact or replace; ML and LLM guardrails block or warn.
  • Signed record. Praesidia records the decisions it makes in an append-only, hash-chained audit trail, signed under the default configuration; an operator can turn signing off. A signed record shows it was not changed afterwards. It does not show that every action was captured. Calls that do not pass through Praesidia are not recorded.
  • EU AI Act records. Risk classification, the fundamental-rights impact assessment and the AI-literacy register are on the Advanced tier of the Team plan and on Enterprise. Technical documentation and post-market monitoring are on Enterprise. A classification records your assessment and the platform's first pass; it is not legal advice or a conformity assessment.

A governance platform and a control plane answer different questions, and teams often run both: the platform as the register of AI risk and obligations, and the control plane as the place where agent actions are allowed, held or denied. The EU AI Act compliance page maps articles to what Praesidia records.

Questions to ask in an evaluation

  1. Where does an agent control run? In the agent's request path, in a separate monitoring loop, or in a review workflow. Each one stops different things.
  2. What can it stop before the action completes? Ask for a demo where a tool call is blocked or held, not only flagged.
  3. How does the inventory reach your systems? Cloud, code and SaaS connectors each find different systems. Ask which of yours each finds.
  4. What does the evidence look like? Ask for a sample export and how an auditor checks it.
  5. Which features are generally available? Ask whether a research preview is supported for production use. Confirm the status of each feature in your quote.

Common questions

What is the difference between Credo AI and Holistic AI? Both are AI governance platforms. As of 17 October 2026, Credo AI leads with regulatory intelligence, policy packs and an agent registry. Holistic AI leads with discovery across cloud and code, risk testing and Guardian Agents for agent oversight.

Do Credo AI and Holistic AI enforce policy at runtime? Both now describe agent controls. Holistic AI says its Operative agents can block or pause non-compliant actions. Credo AI says its Agent Governor, a research preview, can block, allow, escalate or advise on actions at the agent harness, starting with Claude Code. Ask each vendor where the control runs and test it on your own agents.

Is a governance platform the same as an AI control plane? No. A governance platform is the register of AI systems, risks, policies and evidence. A control plane sits on the request path and allows, holds or denies governed calls. Many teams need both.

Does Praesidia replace Credo AI or Holistic AI? No. Praesidia does not provide regulatory intelligence, policy packs or bias testing. It governs the agents and MCP tool calls routed through it, holds calls for approval and keeps a signed record of its decisions.

Sources (as of 17 October 2026)

  • Credo AI, credo.ai: platform sections, policy packs, GAIA, Agent Governor research preview, integrations, Fast Company ranking.
  • Credo AI, Agent Governor: research preview, enforcement in the agent harness, block, allow, escalate and advise actions, Claude Code first.
  • Holistic AI, holisticai.com: identify, protect and enforce capabilities, Guardian Agents, Gartner Magic Quadrant placement.