Skovos vs Credo AI
Skovos publishes this comparison. Credo AI is described from its own public website, cited below. Credo AI is one of the best-known AI governance companies, and it is a strong choice for many organizations.
What is the difference between Skovos and Credo AI?
Credo AI is an enterprise AI governance platform used across industries: it catalogs AI systems, agents and vendors, maps them to regulations and frameworks, and manages risk and controls. Skovos is a healthcare-specific governance layer for AI agents at runtime: it checks every agent action against hospital-owned permissions, records it in a tamper-evident audit trail, and gives the hospital a stop control. Credo AI is broad and policy-centered. Skovos is narrow and action-centered.
What Credo AI does well
Credo AI's platform includes:
- AI Registry: "Discover and catalog every AI system, agent, vendor and model," with visibility into shadow AI.
- Policy packs for the EU AI Act, NIST AI RMF, ISO 42001 and OMB guidance.
- Risk and compliance management with risk scoring, audit trails and a "purpose-built agentic risk and control library."
- Agent governance with a registry for every agent and agent cards.
- GAIA, an AI assistant for intake, registration and risk and control mapping.
- Vendor risk assessment and tracking.
Credo AI reports that it was named a Leader in a Forrester Wave for AI governance and appeared on Fast Company's Most Innovative Companies list for 2026. It lists healthcare among the sectors it serves.
For an organization that runs AI across many business lines and needs one place to map AI to many regulatory frameworks, Credo AI is well suited. Large health systems with research, insurance or international arms may find that breadth valuable.
What Skovos does
Skovos focuses on the moment an AI agent tries to act in a health system:
- Registered identity for each agent, with an accountable owner, a role and scoped permissions as action and resource pairs.
- A permission check on every action, with each allow or deny decision written to the audit trail.
- A hash-chained, tamper-evident audit trail the hospital owns and can verify at any time.
- A recall control that stops an agent immediately. Every later check denies it.
- Signed evidence exports in an OVERT v1.1 style profile that an auditor can verify.
- A Claude and ChatGPT connector, so governance staff can query the registry or stop an agent in plain language.
Skovos governs agents that are connected to it or checked through it. It does not provide multi-framework policy packs for industries outside healthcare.
Side-by-side comparison
| Credo AI | Skovos | |
|---|---|---|
| Market | Cross-industry | Healthcare |
| AI and agent registry | Yes, including shadow AI discovery | Yes, for connected agents |
| Regulatory policy packs | EU AI Act, NIST AI RMF, ISO 42001, OMB | Healthcare focus |
| Risk scoring and control library | Yes | Findings tied to agent profiles |
| Per-action runtime permission check | Not its primary focus | Yes |
| Hospital-owned stop control | Not described on its site | Yes, recall |
| Tamper-evident action log | Audit trails for governance workflow | Hash-chained log of each agent action |
| Signed evidence export | Not described on its site | Yes |
| Analyst recognition | Forrester Wave Leader (per Credo AI) | None claimed |
When Credo AI is the better fit
Choose Credo AI when your main need is policy and compliance coverage across a large, varied AI portfolio: mapping systems to the EU AI Act or ISO 42001, running structured intake, and reporting risk to a board. Its agent registry and control library also help teams that are just starting to inventory agents.
When Skovos is the better fit
Choose Skovos when the risk you need to manage is what agents do inside clinical and operational systems. A registry entry says an agent should be read-only. A runtime check makes sure it is. Skovos also fits when the hospital, not the vendor, must own the record and the stop control, for example to prepare evidence for Joint Commission surveys or OCR Section 1557 reviews.
Using both
The two can connect. Credo AI can hold the enterprise policy and the risk assessment. Skovos can enforce the resulting permissions on each agent action and send back signed evidence that the controls ran. That turns a policy on paper into a control you can test.
Frequently asked questions
Is Credo AI used in healthcare?
Credo AI lists healthcare among the industries it serves. Its platform is cross-industry rather than built only for hospitals.
Does Skovos offer EU AI Act policy packs?
No. Skovos focuses on runtime control and evidence for AI agents in US health systems. Credo AI is stronger on multi-framework policy mapping.
Does Credo AI govern AI agents?
Yes. Credo AI offers an agent registry, agent cards and an agentic risk and control library. Skovos adds a per-action permission check and a stop control at runtime.
Which is better for a hospital with many AI agents?
If the priority is controlling and proving agent behavior, Skovos. If the priority is policy mapping and risk reporting across many frameworks, Credo AI.
Can a health system use Credo AI and Skovos together?
Yes. Policy and risk can live in Credo AI while Skovos enforces permissions and records evidence at runtime.
Related reading
- What is AI governance in healthcare?
- AI governance frameworks for hospitals
- Building an enterprise AI governance program
- AI agent inventory for health systems
Sources
- Credo AI home page (AI Registry, policy packs, agent governance, GAIA, vendor risk, recognition): https://www.credo.ai/
- Skovos connector documentation: https://mcp.skovos.ai/docs
- Skovos overview: https://www.skovos.ai/llms.txt
- Joint Commission RUAIH certification, Healthcare Dive (June 18, 2026): https://www.healthcaredive.com/news/joint-commission-adaptable-ai-blueprint-certification-ken-grubbs-william-walders/823201/
- Section 1557 decision support tools, McDermott Will & Schulte: https://www.mcdermottlaw.com/insights/section-1557-patient-care-decision-support-tools-anti-discrimination-compliance-12-things-to-consider/