HiddenLayer
Security platform for AI models and the ML lifecycle

Enterprise platform for AI governance, risk and compliance.
Credo AI is enterprise AI-governance software bought by risk, compliance and AI leaders, not an individual tool, and it typically involves a five- to six-figure annual investment plus implementation. Its value is strongest for organizations with meaningful regulatory exposure that need defensible documentation of AI risk decisions. Pricing is custom, adoption is a structured rollout, and buyers should scope it against their specific frameworks and the breadth of AI systems they must govern.
Credo AI is an enterprise AI governance platform that helps organizations discover, assess and continuously govern AI models, agents and applications against risk and regulatory requirements. It offers an AI registry, risk intelligence and a policy engine with pre-built regulatory packs. It targets risk, compliance and AI leaders, uses custom enterprise pricing, and serves as GRC infrastructure for AI rather than a self-serve tool.
Credo AI is a governance platform built to help enterprises manage AI responsibly and stay ahead of regulation. It provides an AI registry to catalog models, agents and applications, risk-intelligence tooling for ongoing assessment and monitoring, and a policy engine with pre-built packs mapped to frameworks and emerging regulations. The goal is to give risk, compliance and AI teams a single system of record for what AI is in use, how risky it is, and whether it meets internal and external requirements. As AI regulation matures, Credo AI positions itself around continuous governance rather than one-time audits: discovering AI across the organization, assessing it against policies, and tracking evidence and controls over time. It is used by enterprises and public-sector organizations that need defensible documentation for AI risk decisions. Credo AI is an enterprise product with custom pricing, typically a five- to six-figure annual investment plus implementation, and adoption usually involves a structured rollout with compliance stakeholders. Buyers should evaluate it as GRC infrastructure for AI, scoping it against their regulatory exposure, the breadth of AI systems to govern, and how it integrates with existing risk and security processes.
Credo AI is an enterprise AI governance platform that helps organizations discover, assess and continuously govern AI models, agents and applications against risk and regulation. It offers an AI registry, risk intelligence and a policy engine with pre-built regulatory packs. Pricing is custom, typically five to six figures annually plus implementation. It is GRC infrastructure for AI, aimed at risk and compliance leaders.
Credo AI (credo.ai) is a Palo Alto-based AI governance company positioning itself as a trusted leader in responsible AI and AI GRC.
It serves enterprises and public-sector organizations that need to govern AI systematically as regulation matures, with around 70 employees.
Core capabilities include an AI registry for cataloging models, agents and applications; risk intelligence for ongoing assessment and monitoring; and a policy engine with pre-built packs mapped to frameworks and regulations.
The platform focuses on continuous governance, discovering AI, assessing it against policy, and tracking evidence and controls over time to produce defensible documentation.
Enterprises and public-sector organizations with meaningful AI usage and regulatory exposure that need structured, continuous AI governance and risk management.
Risk analysts, compliance officers and AI/ML governance teams cataloging and assessing AI.
Chief risk officers, chief compliance officers and heads of responsible AI.
Legal, security and data-governance teams, plus board-level risk oversight.
An enterprise or public-sector organization with regulatory exposure that needs a single system of record and continuous governance for its AI systems.
Credo AI raised a $21 million round led by CrimsoNox Capital, Mozilla Ventures and FPV Ventures, with participation from Sands Capital, Decibel VC, Booz Allen Hamilton and AI Fund, bringing total funding to roughly $41.3 million.
It helps enterprises discover, assess and continuously govern their AI models, agents and applications against risk and regulatory requirements.
Its policy engine includes pre-built packs mapped to AI frameworks and emerging regulations, helping organizations align to requirements like the EU AI Act.
No. It emphasizes continuous governance, ongoing risk monitoring and evidence tracking rather than a single point-in-time assessment.
Pricing is custom enterprise, reported in the tens to low hundreds of thousands per year plus implementation; contact the vendor for a quote.
It is bought by risk, compliance and AI leaders at enterprises and public-sector organizations with meaningful AI governance needs.
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Security platform for AI models and the ML lifecycle
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