Kosmoy vs Credo AI: Two Approaches to AI Governance (2026)

Each spoke is one capability, scored 0–10. The two products tie at 9 on Compliance & Audit, but the nines are made of different material: Credo AI's is program breadth — policy management, FRIA, vendor risk, conformity support, the criteria where Forrester gave it the highest possible scores — while Kosmoy's is enforcement-derived evidence. Credo AI's 8 on AI Inventory & Discovery is a genuine near-peer to Kosmoy's 9, and its program depth extends past what these axes measure. Across the runtime half of the chart — gateway, guardrails, containment, observability, sovereignty — the gap runs to Kosmoy, which is what you would expect when a workflow platform meets enforcement infrastructure.

Policy-to-control translation. 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). Kosmoy maps runtime evidence to frameworks; it does not run assessment workflows at this depth.

Analyst-validated program leadership. Forrester named Credo AI a Leader in AI Governance Solutions (Q3 2025) with the highest possible scores in 12 criteria, including AI Policy Management and AI Regulatory Compliance Audit (announcement), and Gartner placed it as a Visionary in the inaugural Magic Quadrant for AI Governance Platforms on June 16, 2026 (recognition).

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 you buy, a surface Kosmoy's registries do not cover.

Governance automation at program scale. GAIA drafts documentation, flags risks and drives compliance workflows for all platform customers since May 2026, and the January 2026 Python SDK embeds evidence collection into developer workflows — real leverage for a small governance team facing hundreds of use cases.

A shipped enforcement point. Credo AI's GAIA GA announcement (May 2026) lists “policy enforcement and intervention at the point of use” as next on its roadmap, and third-party analyses describe enforcement today as leaning on integrations with CI/CD systems, CASBs and API gateways (WorkOS analysis). Kosmoy's gateway is that point of use, shipping now: guardrails, RBAC, budgets and logging enforced on every LLM, MCP and agent-to-agent call.

Guardrails and containment. Credo AI does not document in-line PII, toxicity or prompt-injection blocking of its own, and its Agent Registry offers oversight-and-alert intervention points — monitoring, not containment. Kosmoy applies guardrails to every call and runs agents inside Action Capsule sandboxes whose only egress is the paired gateway, with per-task credentials and a kill switch.

An inventory reconciled against reality. Credo AI's registries are registration-driven: they hold what teams declare. Kosmoy's master agent registry pulls agents from Azure AI Foundry, Bedrock, Vertex, Salesforce and ServiceNow through connectors, and its gateway sees actual traffic — so the inventory is continuously checked against what really runs.

Sovereignty. Credo AI is SaaS, with no self-hosted or air-gapped option documented as of July 15, 2026. Kosmoy is only ever single-tenant software in your own Kubernetes, air-gap included — for a central bank or a defence prime, that is a procurement gate, not a preference.

This is one of the least adversarial pairings in Kosmoy's comparison set. Credo AI needs runtime evidence to satisfy its Policy Pack controls — its January 2026 SDK exists precisely to pull evidence out of engineering systems — and Kosmoy generates exactly that: gateway logs, guardrail verdicts, registry state and containment events, timestamped and attributable. The working pattern is clean: Credo AI holds the program of record (classifications, assessments, vendor risk, sign-offs); Kosmoy holds the runtime (enforcement, containment, telemetry); evidence flows from the second into the first.

The reverse dependency matters too. When Credo AI does ship runtime governance, its history suggests integration rather than infrastructure — it is a workflow company, not a proxy company. An enterprise that installs Kosmoy now gets an enforcement point any program-layer tool can consume, whichever governance platform ends up holding the program seat.