Credo AI

Centralized inventory system for AI agents with agent cards documenting purpose, tools, data sources, and guardrails, plus dependency graphs mapping connections across agents, sub-agents, models, and tools.

A discovery and cataloging system for all AI entities including agents, models, applications, and vendors. Features agent cards, shadow AI detection, risk classification, and dependency mapping with full visibility across the enterprise.

Centralized inventory of every AI system including agents, models, apps, and shadow AI, with auto-discovery across enterprise cloud environments. Provides agent cards, platform governance, and dependency graphs.

Automated collection and documentation of governance evidence for compliance audits, replacing manual documentation and reducing audit preparation time.

Automated adversarial testing of AI agents and models to identify vulnerabilities and policy violations proactively.

Real-time risk dashboards connecting governance metrics to business outcomes and KPIs.

Pre-built policy packs for EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 with automated governance workflows, approval gates, and audit-ready evidence generation.

An AI governance platform designed for the agentic era that helps enterprises discover, catalog, and govern AI systems (agents, models, applications, vendors) with continuous risk assessment, policy enforcement, and audit-ready compliance across design, development, and production.

Specialized AI agents that automate time-consuming governance tasks including evidence retrieval, risk assessment, governance plan generation, and incident remediation while maintaining human oversight.

Visual mapping of dependencies across agents, sub-agents, models, tools, and data sources to understand system complexity and inter-relationships.

Continuous monitoring of AI behavior changes over time to detect model degradation or policy deviations.

Pre-built policy pack with full alignment to European AI regulation including risk classification and conformity assessment automation.

An AI-powered governance assistant available generally in the platform that compresses weeks of manual governance work into hours by automating policy mapping, risk assessment, and compliance workflows.

Purpose-built guardrails for ChatGPT, Claude, and Gemini deployments enabling enterprise control over third-party GenAI model usage and data flows.

Proprietary intelligence layer connecting regulations, business context, and AI system configurations to enable context-aware governance decisions and automatic control enforcement based on deployment context.

Configurable approval gates and governance workflows for AI deployment decisions with human-in-the-loop escalation for critical decisions.

AI Management System standard module with audit-ready evidence generation for ISO 42001 certification.

Complete NIST AI Risk Management Framework compliance module with automated controls mapping and assessment.

Governance controls for AI agent platforms and Model Context Protocol servers used in agent deployments.

Transforms regulatory policy into code with pre-built policy packs for major AI standards (EU AI Act, NIST AI RMF, OMB M-25, ISO 42001). Automates compliance workflows and generates audit-ready evidence.

Hierarchical policy propagation across connected AI entities with automatic risk score aggregation for parent systems.

Proprietary policy engine mapping business context to technical controls for automated governance of ML models and AI systems across the enterprise.

24/7 continuous monitoring of AI systems for compliance violations with alerts and automated reporting.

Continuous, contextual risk assessment with a purpose-built agentic risk and control library addressing tool misuse, scope drift, and inter-agent risk. Includes continuous monitoring, drift detection, and real-time alerts integrated with observability and monitoring tools.

Continuous evaluation of agent traces in production to detect policy violations, drift, and unsafe behavior with human-in-the-loop escalation, real-time monitoring, and automated remediation.

Automated discovery and classification of unauthorized or unmanaged AI systems deployed across cloud environments without oversight.

Security and availability controls module with continuous monitoring and audit reporting for SOC 2 compliance.

Real-time ingestion and continuous evaluation of agent execution traces to detect policy violations, drift, and unsafe behavior with escalation workflows and automated responses.

Centralized inventory and governance of third-party AI systems, models, and vendors with visibility and control over external AI deployments.