Saidot - 2026 Pricing, Features, Reviews & Alternatives

Saidot AI Governance Platform is an enterprise software solution built on a knowledge graph architecture to support comprehensive governance of AI systems, models, agents, and datasets. The platform integrates AI components with an expert curated library of risks, policies, and controls and preserves governance documentation as AI implementations evolve. It enables organisations subject to regulatory frameworks such as the EU AI Act, ISO/IEC twenty seven thousand and one, and the NIST AI Risk Management Framework to align governance processes with compliance requirements. The platform addresses the needs of AI teams, legal and compliance professionals, risk managers, sourcing specialists, and business leadership requiring visibility into AI portfolios.

Governance is organised around interconnected entities including systems, models, agents, datasets, risks, controls, and policies that form a directed graph structure. Configurations applied at the model, agent, or dataset level propagate automatically to linked systems through risk and control inheritance. The centralised AI inventory registers both in house and third party AI systems and imports models and metadata through native integrations with major AI services, each accompanied by a model card. Agent governance capabilities catalogue AI agents with associated metadata, ownership assignments, risk classifications, approval workflows, and linked controls and policies.

The risk management module features a library of more than two hundred risks that can be evaluated on likelihood and impact scales spanning one to five. The platform supports mapping to a library of more than six hundred controls and automates control inheritance across connected systems. Compliance management workflows align risk classifications with regulatory frameworks while enabling manual adjustments and inheritance based assignment. The platform generates transparency reports directly from live governance data and supports auto generated testing and red teaming plans with evaluation results feeding back into risk treatment and control processes.

A comprehensive application programming interface enables programmatic operations across the platform in continuous integration and deployment pipelines and supports connections to other AI and governance platforms via webhooks. Automated workflows handle inheritance propagation, lifecycle approvals, classification tasks, and evidence attachment at the control level. Runtime observability events are ingested from AI stacks to trigger incident creation, risk reviews, and classification updates in response to production activities. Built in audit readiness features include structured review workflows, traceable evidence collection, and comprehensive audit trails. The information security management system holds ISO/IEC twenty seven thousand and one certification.