✨ AI Governance Handbook 2.0 is out now! Learn to govern AI at the speed you build it.
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Unlock the value of your enterprise AI agents

Saidot puts trust back into AI agents. As the AI governance system of record for enterprise AI agents, Saidot gives every agent an owner, a mandate and a record, so enterprises can move agents from pilot to production faster.

The accountability gap holds back AI growth

Agents are stuck in pilot because no one can answer for them. Responsibility for every agent is spread across teams, vendors and data owners. No one sees the whole.

~50%

Around one in two AI agent projects in large enterprises remain stuck in the proof-of-concept or pilot stage due to security and governance concerns.

Source: Dynatrace, January 2026.

52%

Security, privacy and compliance are the biggest barriers keeping agent projects from moving forward, followed by managing and monitoring at scale.
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Source: Dynatrace, January 2026.

49.8%

Almost half of security and tech professionals have confirmed or suspected an agent doing something unintended or unauthorised.
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Source: Salt Security, October 2026.
Whose agent was it? What was it allowed to do? Can you trace it? Saidot makes sure your enterprise can answer before anything goes wrong.

One connected record across the AI supply chain

Every employee has a manager, a role and a file. Most AI agents have none. Saidot gives every agent an owner, a mandate and a record.

And unlike a list, Saidot's record is connected.

The record does not start empty: Saidot Library contains 260+ risks, 620+ controls, 110+ policies and 170+ AI models and products.
Saidot Governance interface on a laptop, showing the Systems inventory with a list of AI systems and their owner, risk level, importance and last updated date. A Slack message from the AI Governance Agent reports that a model update introduced new risks to a linked system, and that a Jira ticket has been created and assigned to the system owner. A hub diagram alongside connects Saidot to Slack, Atlassian, Snowflake and other tools.
Agents do the groundwork. People keep the decisions.
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Here's just three of many ways it keeps your AI agent governance up to date:
Saidot maps how every agent connects to the models, tools and data it depends on, and who owns each part.
Govern a component like model or dataset once and every agent that uses it inherits the right risks and controls.
When something happens, like a new model version, Saidot shows exactly which agents are affected.

“By integrating Azure AI with Saidot’s innovative AI governance platform, we’re empowering our customers to achieve greater cross-functional collaboration and enabling them to align their AI solutions with their own principles and regulatory requirements.”

Sarah Bird, CPO, Responsible AI at Microsoft

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Core capabilities

Centralised AI inventory

All your AI in one record

-> Register agents, systems, models and datasets in the web app, through the REST API or with an AI assistant over MCP.

-> Models and agents sync from Microsoft Foundry and Amazon Bedrock, so the inventory remains current.

-> Systems inherit risks from the third-party models, datasets and products they link.

See your AI portfolio and its risks in one place.

AI agent governance

Governance built for
AI agents

-> Register agents in the Agent Catalogue with their owner, purpose, lineage and autonomy level.

-> Every tool an agent can reach is risk-classified, not just the model.

-> Risks from models, datasets and tools surface on the agent and on the systems that use it.

Deploy AI agents with a record of what they can do and access.

Agent-first AI governance

Do governance with your own AI agents

-> Three MCP servers let your own AI assistants register agents and draft risk assessments.

-> Agents research the Saidot Library, grounded in curated facts

-> Agents draft. Named people review and approve what agents are pushing.

Governance that happens in the flow of work.

One source of truth

One system of record for all three lines

-> AI teams and the first line register agents directly from their own tools and reach production faster.

-> The CRO and the second line set rules once that are inherited, and review exceptions instead of everything.

-> Internal audit and the third line have traceability and evidence linked to every agent.

The board can give AI more room with overview and evidence.

Workflows, integrations and MCPs

Everything connected

-> Integrations with Microsoft Foundry, Azure, and Amazon Bedrock.

-> 95% of the platform is controllable via API.

-> Trigger governance from events: a new model ships, risks inherit and the owner is notified.

Fewer missed dependencies and less manual work.

Compliance and auditability

Compliance-ready,
audit-ready

-> Map controls to the EU AI Act, ISO/IEC 42001, NIST AI RMF and 110+ other policies.

-> Attach evidence to a control and reuse it across the systems the control applies to.

-> Export transparency reports and run reviews on the platform.

Compliance is the floor. Control sets the ceiling.

Observability and runtime monitoring

Govern your AI in production

-> Send events from your AI stack and monitoring tools to Saidot through webhooks and the REST API.

-> Rules turn events into incidents, reviews and risk-level changes on agents, models and systems.

-> Saidot notifies owners in Slack or Jira.

Runtime security tools see what an agent does.
Saidot knows who owns it, what it's allowed to do, and can prove it.

Watch 20-minute
platform demo

In 15 minutes, our Head of Services and Customer Success Iiris Lahti will show you Saidot's key features and how to use them to make AI governance easy.

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AI Governance Handbook 2.0

Using our handbook, you’ll govern AI at the speed you build it, reuse work across models and agents, and stay EU AI Act ready.

Cover of Saidot’s AI Governance Handbook, Edition 2.0: “Governing AI at the speed you build it”, a guide to graph-based, agent-first AI governance. Inside pages on governance as a graph and the EU AI Act quick reference fan out behind it on a grey background.

Trusted by European and global organisations

"Your knowledge graph and this API-based approach is just genius, it will win the market."

"The AI governance process, framework and how we're able to operate AI governance with Saidot platform is the best we've seen yet."

"If we would be able to identify even 50% of all these risks, this would save us a year."

"We got questions from our users about GPT-5 at 8am, and I was able to do the risk assessment basically immediately, thanks to your live library update."

"I have seen a lot of AI governance products but yours really stands out as a complete package with all the relevant information, knowledge graph and integration plans."

"Probably the most compelling product I've seen, something that is practical and useful, the only product that covers the full end-to-end process."

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