Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Credo AI claims its governance platform discovers and classifies shadow AI across the enterprise.
Shadow AI discovery and classification
Related framework references (5)
Credo AI claims a centralized inventory of agents, models, applications, and shadow AI with enterprise auto-discovery.
Centralized inventory of every AI system, including agents, models, apps, and shadow AI, with auto-discovery across your enterprise.
Related framework references (5)
Credo AI claims its AI Registry records governed systems, agents, models, and applications in a central inventory.
register every system in a central inventory
Related framework references (5)
Credo AI claims policy enforcement and production monitoring, with planned enforcement integrations for CI/CD, cloud access security broker (CASB), and application programming interface (API) gateways.
Planned enforcement integration with CI/CD, CASBs, and API gateways
Related framework references (5)
Credo AI materials reviewed did not provide a public claim for inline detection, redaction, or blocking of sensitive data in prompts, responses, files, retrieval, or memory.
No quoted source text is recorded for this claim.
Related framework references (5)
Credo AI materials reviewed did not provide a public claim for browser session controls over upload, download, copy, paste, sharing, or form submission.
No quoted source text is recorded for this claim.
Related framework references (5)
Credo AI claims runtime observability and trace-level policy enforcement for governed AI systems.
Runtime observability with trace-level policy enforcement
Related framework references (5)
Credo AI claims regulatory policy packs, governance workflows, approval gates, automated evidence generation, and audit trails.
Pre-built policy packs for EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 with automated governance workflows and audit-ready evidence.
Related framework references (5)
Credo AI claims automated red teaming and drift detection within its Risk Intelligence module.
Automated red-teaming and drift detection
Related framework references (5)
Credo AI claims third-party model tracking, model and vendor lineage graphs, and model metadata in its agent governance inventory.
Model + vendor lineage graphs
Related framework references (5)
Credo AI claims platform and Model Context Protocol (MCP) server governance while describing CI/CD, cloud access security broker (CASB), and application programming interface (API) gateway enforcement integration as planned.
Platform & MCP Server governance
Related framework references (5)
Credo AI claims continuous evaluation of agent traces with escalation, monitoring, and alerts.
Continuous evaluation of agent traces to detect policy violations, drift, and unsafe behavior, with human-in-the-loop escalation.
Related framework references (5)
Credo AI claims dependency mapping across agents, models, tools, and data, plus agentic risk coverage for inter-agent risk.
Dependency graph mapping across agents, models, tools, and data
Related framework references (5)
Credo AI materials reviewed did not provide a public claim for service-account, workload-identity, application programming interface (API)-key, secret-rotation, or machine-credential lifecycle management.
No quoted source text is recorded for this claim.
Related framework references (5)
Credo AI claims agent cards containing purpose, tools, data sources, and guardrails, with ownership and accountability in the Agent Registry.
Agent Registry with agent cards (purpose, tools, data sources, guardrails)
Related framework references (5)
Credo AI materials reviewed did not provide a public claim for controlling coding-agent commands, filesystem or network actions, skills, hooks, integrated development environment (IDE) extensions, packages, or workstation activity.
No quoted source text is recorded for this claim.
Related framework references (5)
Credo AI materials reviewed did not provide a public claim for model or agent spend attribution, budgets, rate limits, chargeback, or anomalous token-cost controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Credo AI claims modular product packaging whose modules can operate independently.
Each module works independently but is more powerful together.
Related framework references (2)
Credo AI claims integrations across cloud, agent, GRC, DevOps, and MLOps platforms, positioning it as a governance layer over enterprise AI systems.
AWS, Azure, GCP, Databricks, Snowflake
Related framework references (5)