Security ecosystem
PS
Data protection & DLP

Prompt Security AI usage control

Certified Technology Partner

Why we deploy Prompt Security

People use AI assistants whether or not the organisation has formally approved them — and they paste contract clauses, source code and customer data into them. Prompt Security sits between the user and the model: it sees what is being sent, redacts or blocks sensitive data before it leaves, and stops prompt manipulation. The same control reaches three paths that usually go unwatched — code assistants in the development environment, the AI features you expose to your own customers, and agents calling MCP servers on their own.

Core Capabilities Prompt Security

Prompt injection protection
Blocking data leakage into models
Control over AI apps and assistants
Redaction of code and secrets in AI code assistants
Inventory and policy for agents and MCP servers
Usage records for governance

Use Cases Prompt Security

A company Copilot or ChatGPT with no control over what goes into it
Shadow AI — tools adopted by teams without IT knowing
A customer-facing chatbot built on a public model
Developers using AI code assistants against a private repository
Internal agents reaching data and systems through MCP servers
Evidencing AI oversight in a risk assessment or before an audit

Why ZeroLayer

We start with an inventory: which AI tools are already in use and what data reaches them. Only with that picture do we set policy — in observation mode first, so we do not break the workflows of teams already getting real value from these tools.

Interested?

Tell us what you run today and what is missing — we will check whether this makes sense for you before anything gets bought.

Secure your
future today

Cyber threats don't sleep, and neither do we. Whether you need an immediate response to a breach or a long-term strategic security partner, ZeroLayer is ready.

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