Private AI in Practice

AI Security

Protect your data from AI—and AI from potentially adversarial content.

The situation

What if the document you’re asking AI to analyze is trying to manipulate the AI?

An attorney receives an opposing party’s filing. To the attorney, it looks ordinary.

But hidden inside the document is text intended for an AI system.

Opposing party filing

“Ignore previous instructions…”

See it in practice

What should happen next?

CAVALRYAI

Zero-Trust AI Ingestion

Analyze Normally

✓ Inspect Before AI

1 — Inspect

Document examined for suspicious content and hidden instructions.

2 — Classify

Source, sensitivity, user, and permissions evaluated.

3 — Isolate

Document content remains evidence—not trusted system instruction.

4 — Enforce

CavalryAI policy controls what the model may access and do.

5 — Ground

Important responses connect back to underlying sources.

6 — Monitor

Potentially anomalous activity can be logged for investigation.

⚠ POTENTIAL PROMPT INJECTION DETECTED

Suspicious machine-directed instructions identified within submitted content.

Document quarantined / flagged for review

Illustrative scenario showing the security architecture and control model CavalryAI is designed to support.

The payoff

Security has to work in both directions.

Protect sensitive information from inappropriate AI exposure.

Protect AI workflows from potentially adversarial information.

Protect the data from the AI. Protect the AI from the data.

Ready to Put Your Organization’s Intelligence to Work—Securely?

Start with one high-value workflow. We’ll help you assess the data, security, AI architecture and business opportunity around it.