Trust · Roadmap
Protecting the system while it is in use.
Active protection against the ways AI systems are attacked and abused, prompt manipulation, data exfiltration, model tampering, so the platform stays trustworthy under pressure.
The evaluator's problem
Plan for the risks that come with AI.
Governance sets the rules; defense keeps them holding under adversarial pressure. Both are needed for a system officials can rely on.
Can it be manipulated?
Prompt and input manipulation is detected and contained.
Can data be exfiltrated?
Planned controls aim to detect attempts to move data beyond the approved boundary.
Can the model be tampered with?
Release controls are intended to check model and processing integrity.
Capabilities · Accessible by design
Trust that holds under pressure.
Defense is what keeps the governance real when someone tests it.
Threat protection
Detect and contain manipulation, exfiltration and abuse.
Boundary monitoring
Watch the edges where data could leak.
Integrity verification
Models and pipelines are protected and checked.
Alert a person
The system is intended to flag serious events for human review.
Where it fits
Where AI Defense fits.
The active layer that protects the whole platform in operation.
Governance & compliance
Governance that survives contact.
Defense is designed to detect and contain attacks on the AI system, protect integrity and alert a person so the deployment can be reviewed when controls are tested.
Related products
Explore what connects to it.
Next step
Harden one deployment.
We put active defense around a single deployment and show it detects and contains abuse.