The AI firewall for the enterprise
One layer that sees, protects, and governs every model, app, and agent, for the people you employ and the programs they build.
AI is changing how work gets done, and creating a new attack surface while it does. Models read sensitive data, agents take actions on their own, and copilots reach across systems. Traditional security tools were not built to see any of it, because they watch traffic and networks, not prompts and intent.
An AI firewall sits where that traffic actually is, between your people and programs and the models they use, and applies the controls the rest of your stack cannot.
What it protects against
Secure Shadow AI
Unsanctioned tools your people already use, and the data leaving with each prompt.
Data loss
PII, secrets, and source code detected and redacted before they reach a model.
Prompt injection and jailbreaks
Attacks that try to talk the model out of its guardrails, blocked at the request level.
Ungoverned agents
Programmatic and agent traffic that acts on its own, brought under identity, budgets, and logging.
Training on your data
Nothing your team sends is used to train a public model.
Compliance exposure
A tamper-evident record aligned to GDPR, the EU AI Act, and NIST, so you can always show what happened.
One firewall, across all three surfaces
AI shows up in a company in three ways: the tools people bring, the tools you approve, and the programs that call AI on their own. The firewall covers all three from a single control point.