Solutions

AI use
managed around your business priorities.

Define your security goal. Make relevant AI use visible. Apply control policies within validated areas.

Shadow AI visibility

Which AI tools are being used in your organization?

Discover the AI applications and interfaces used in your organization to establish a concrete starting point for technical assessment.

Discovery → Usage inventory

Sensitive data flows

What information reaches the model?

Use policies to assess signals of personal data, keys and organization-specific sensitive content in supported prompt and model workflows.

Prompt Guard → AI Gateway

Secure AI use by developers

How can you limit agent access while maintaining developer productivity?

Define session, file and tool access boundaries for supported developer agents.

Agent Guard → MCP & Tool Control

AI agent resource boundaries

Should user access also authorize an agent?

Classify sensitive resources. Use separate policies to define which resources and actions an agent can use.

Resource policy → Selective access

Browser AI governance

How do you manage AI use that starts in the browser?

Include supported browsers, extensions and AI interfaces in a pilot. Validate deployment and data policies together.

Browser Guard → Policy Center

Application discovery

Can you assess impact before enabling blocking?

Start with discovery and assessment. Plan optional application control only where it is needed.

Observation → Analysis → Selective control

Controlled AI adoption

How can data and audit requirements be addressed?

Align data minimization, defined permissions and event review processes with organizational policies. Document the technical controls and their scope for your organization’s data and audit requirements.

Policy → Audit → Assessment

LET’S EXPLORE YOUR NEEDS

Let’s explore your AI security needs
together.

Let’s discuss your current use, risks and priorities.

Request a demo