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Connects to your AI.
Any MCP-compatible agent gets the same governed connection, right where your teams already work.
Some of our integrations
Workflow tools
Jira, ServiceNow
Model providers
Anthropic, OpenAI
Agent tools
Copilot Studio, Claude Enterprise
Development environments
Azure AI Foundry, Amazon Bedrock, Databricks

Glossary

GPAI Code of Practice

GPAI Code of Practice

GPAI Code of Practice

The detailed regulatory instrument outlining specific transparency, safety testing, and risk mitigation obligations for providers of General-Purpose AI (GPAI) models under the EU AI Act.

The detailed regulatory instrument outlining specific transparency, safety testing, and risk mitigation obligations for providers of General-Purpose AI (GPAI) models under the EU AI Act.

Updated

Drafted by the EU AI Office and finalized in August 2025, this Code provides signatories with a compliance pathway for systemic risk models. It mandates adversarial testing (red-teaming), rigorous technical documentation, and training data summaries. Signatories enjoy a presumption of compliance with Chapter V of the Act, which covers models like those with training compute exceeding 10^25 FLOPs.

Example

A developer of a large language model (LLM) signs the Code of Practice to simplify their reporting obligations to the EU AI Office, documenting their watermarking techniques and their approach to preventing the generation of non-consensual imagery.

Govern the AI you actually use.

Govern the AI you actually use.

Govern the AI you actually use.

Start with what’s in use.

Start with what’s in use.

Start with what’s in use.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.