Enzai MCP server
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

Watermarking

Watermarking

Watermarking

The practice of embedding detectable, machine-readable provenance markers in AI-generated output, such as images, audio, video, and synthetic text, so downstream consumers and platforms can identify content as AI-generated.

The practice of embedding detectable, machine-readable provenance markers in AI-generated output, such as images, audio, video, and synthetic text, so downstream consumers and platforms can identify content as AI-generated.

Updated

Watermarking is the technical foundation for AI content provenance and a regulatory obligation under the EU AI Act's Digital Omnibus, taking effect December 2, 2026. Watermarks must survive common transformations such as copy-paste, screenshots, and reformatting to provide reliable provenance signals. The detailed technical standard for AI Act watermarking is expected via implementing acts; the C2PA Content Credentials standard is the likely reference point. Other major jurisdictions including China and the United Kingdom have introduced parallel obligations. Engineering teams shipping generative AI output should treat watermarking as a near-term capability requirement rather than a future option.

Example

A SaaS marketing platform generates email copy and social images using a foundation model. Under the AI Act, the platform must embed watermarks in every AI-generated output it returns to customers from December 2, 2026. The engineering team scopes a watermarking proof-of-concept in summer 2026, prioritizing image and audio output first because these have established provenance standards (C2PA) and the clearest regulatory expectations.

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.