Prompt injection protection
Inspect inputs for attempts to override instructions or redirect the application. Apply configured guardrails before requests continue.
Platform / AI application security
Protect the AI you build. And the data behind it.
Runtime security for internal copilots, custom applications and customer-facing AI. Put checks between untrusted input and the systems it can reach.
The challenge
Every AI interface is a new security boundary.
Your support assistant may access customer records. Your internal copilot may retrieve confidential documents. A malicious instruction can arrive through a user prompt or retrieved content. Security needs to follow the request into the application.
Discuss your environmentYour controls
From policy to everyday practice.
Data exposure controls
Apply checks to sensitive information moving through connected AI workflows. Set boundaries around what can be sent to a model or returned to a user.
Internal and external coverage
Use shared policies across employee-facing applications and customer-facing assistants, with controls adapted to each workflow.
Security investigation
Review policy decisions and application activity together. Trace how a request was handled and where it was stopped.
An example in practice
A support assistant receives a hostile prompt.
Illustrative workflow. Controls depend on your configuration.
- 01
Request
A customer asks the assistant to ignore its instructions and reveal another customer’s account details.
- 02
Policy check
The connected security layer checks the request against the application’s input and data policies.
- 03
Outcome
A detected violation is blocked and recorded for investigation.
Deployment
Start with a defined scope.
Identify the application, model calls, data access and exposed interfaces.
Connect the security layer and test policies against your real workflows.
Review detections and expand protection across production applications.
Protection applies to connected request paths. We validate integration coverage and guardrail behavior with your team; no detector eliminates every attack.
Let’s talk AI security
Take control of AI in your business.
Start with the AI tools your people use. Build a plan for the systems you run.