Credo AI vs Holistic AI (2026): AI Governance Compared — and Where Kosmoy Fits

Each spoke is one capability, scored 0–10. Credo AI (orange) and Holistic AI (violet) tie at 9 on Compliance & Audit, but the nines are made of different material: Credo AI's is policy-program breadth — the criteria where Forrester gave it the highest possible scores — while Holistic AI's pairs compliance with an audit-and-red-teaming heritage that lifts it to 8 on Testing, Evals & Red-teaming against Credo AI's 4. Holistic AI also leads the runtime half of the chart — guardrails, containment, security — where its 2026 Guardian Agents and AI Safeguard put real distance on Credo AI's 1s. Kosmoy (blue) trades program-authoring depth for reach across a self-hosted gateway, kernel-enforced containment and an inventory reconciled to live traffic. Read it as area: the two governance tools own the program spokes; the suite adds the runtime web.

Policy-to-control depth. Policy Packs turn the EU AI Act, NIST AI RMF, ISO 42001, SOC 2 and NYC Local Law 144 into control sets, workflows and audit-ready evidence, with intake-based risk classification, entity-role determination, fundamental-rights impact assessments and CE-marking support (EU AI Act tooling). Forrester scored it highest in the AI Policy Management and AI Regulatory Compliance Audit criteria.

Third-party and vendor AI risk. The Vendor Risk Assessment Portal collects AI-risk evidence from suppliers and the GenAI Vendor Registry ships pre-populated transparency reports on foundation-model vendors — governance for the AI a company buys, a surface Holistic AI does not document.

Agent-governance program maturity. An Agent Registry (public preview September 2025), the GAIA governance agent (GA May 2026) and a January 2026 Python SDK give a small governance team leverage over hundreds of use cases; Credo AI also publishes agentic-governance research framing the category.

Analyst position on vision. Gartner placed Credo AI as a Visionary in its inaugural Magic Quadrant for AI Governance Platforms (June 16, 2026); Forrester named it a Leader in AI Governance Solutions (Q3 2025) with the highest possible scores in twelve criteria (recognition).

Model testing and red-teaming. Holistic AI runs proprietary jailbreak-resistance testing available to all platform users, publishes third-party model audits (Claude 3.7 Sonnet, Grok-3), ships an LLM Decision Hub for evidence-based model selection, and maintains an open-source assessment library — depth that earns it an 8 on evals against Credo AI's 4, whose own Lens framework was archived in 2024.

An earlier runtime move. AI Safeguard filters inputs and outputs in production, and Guardian Agents block, quarantine, revoke and kill — recognized in Gartner's first Guardian Agents Market Guide (March 2026). Credo AI ships no runtime enforcement; its own GAIA GA announcement names “policy enforcement and intervention at the point of use” as the next item on its roadmap.

Shadow-AI and security posture. Holistic AI discovers shadow AI across the ecosystem and assesses model-risk posture — a 7 on security to Credo AI's 3 — reflecting its audit heritage.

Audit and assurance heritage. Purpose-built NYC Local Law 144 bias audits recognized in the UK government's AI assurance techniques portfolio, plus EU Digital Services Act audits — a services-and-product depth Credo AI does not match.

Both Credo AI and Holistic AI answer “how do we run an AI governance program and prove compliance?” Holistic AI has gone further toward runtime than Credo AI, but its runtime is input/output filtering and monitoring-driven intervention — not a self-hosted gateway that brokers every call, and not kernel-enforced containment for agents that act. Credo AI ships no runtime data path at all. Both are SaaS-first program tools.

Kosmoy is the runtime enforcement layer those programs need underneath them. It sits in the request path as a self-hosted gateway with guardrails, RBAC and budgets on every LLM, MCP and agent-to-agent call; it runs autonomous agents inside Action Capsule sandboxes with per-task credentials and a kill switch; and it keeps an inventory reconciled against live traffic rather than registration alone. From that runtime it generates EU AI Act, ISO 42001 (aligned) and NIST AI RMF evidence — the enforcement logs a program platform lists as a control but does not produce itself.

So the honest framing is not “Kosmoy is a better governance platform than Credo AI or Holistic AI” — for policy authoring, vendor risk and red-teaming they are deeper, and Kosmoy does not run assessment workflows at that depth. It is that these are program tools and Kosmoy is the enforcement layer beneath them. In a regulated enterprise the two layers compose: the program holds the record; Kosmoy holds the runtime and feeds evidence up.

For a team whose problem is genuinely the governance program, pick on the axis that matters: Credo AI to operationalize policy and vendor risk into a managed program, Holistic AI to pair compliance with testing and an earlier runtime layer. Both integrate with engineering systems to collect evidence, so neither locks you out of a runtime enforcement point underneath.

For an enterprise that has to prove control over live AI — not just document it — the choice is not only between these two programs but whether an enforcement layer sits under them. Kosmoy can run in front of the models and agents either platform governs, turning gateway logs, guardrail verdicts, registry state and containment events into the timestamped evidence their Policy Packs and control mappings require. The program holds the record; Kosmoy holds the runtime.