Governance, Risk & Compliance
Saidot AI Governance Platform
Govern every AI system, model, and agent on one connected graph for risk and EU AI Act compliance.
Saidot AI Governance Platform Overview
What it does
Saidot AI Governance Platform is an agent-first system for governing artificial intelligence across the enterprise. It gives risk, compliance, security, and data teams a single connected graph that links every AI system, model, agent, and dataset to the risks, controls, and policies that apply to it. Because the graph is connected, risks and controls inherit automatically as AI systems change, so governance keeps pace with how organizations actually build and adopt AI.
How it works
The platform pairs a centralized AI inventory that catalogs systems, models, agents, and datasets with risk management over a curated library of more than 260 risks and 620 controls, mapped to regulations and frameworks including the EU AI Act, ISO/IEC 42001, and the NIST AI RMF. Governance workflows handle use-case intake, assessment, sign-off, and approvals, while observability and runtime monitoring ingest runtime events to trigger governance actions. Dedicated agent governance classifies risk at the tool level for agentic systems, and governance agents connected over MCP servers can carry out governance tasks inside those workflows.
Credentials and traction
The platform is backed by an ISO/IEC 27001:2022 certified information security management system and was recognized in the Gartner Market Guide for AI Governance Platforms (2025). Saidot is an EU-native platform built around EU AI Act requirements alongside ISO/IEC 42001 and the NIST AI Risk Management Framework, and it targets risk, compliance, legal, and AI teams at European and global enterprises governing AI agents and models across the organization.
Key Capabilities
mapped to solution categoriesProvides comprehensive audit trails of platform actions and activities across the AI life cycle.
Monitors and diagnoses the performance and behavior of AI models, applications and agents in production, including explainability.
Captures and tracks the data used by AI entities over time, including training-data provenance and lineage via data governance integration.
Classifies, assesses and mitigates AI-specific risks such as bias and robustness, with content libraries for regulations and frameworks including the EU AI Act, NIST AI RMF and ISO 42001.
Generates standardized documentation such as model cards and datasheets for auditors and regulators.
Enforces AI policies at runtime through guardrails, access controls and use-case validation, with remediation recommendations and compliance reporting.
Documents trust, risk and security assessments, testing and validation results, and remediation evidence for AI systems.
Maintains a centralized, discoverable registry of all AI use cases, applications, agents and models with metadata, ownership and deployment status.
Automates AI use-case intake, risk and security assessment, sign-off, attestation and approval workflows.
Connects across the AI and data stack, including data governance, model observability, AI discovery and AI security tools.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on June 30, 2026