AI Data Loss Prevention
Stop Credentials From Reaching Cloud LLM Providers
Real-time scanning of AI conversations with 37+ patterns, redaction that preserves the session, live verification of what leaked, and a tracked rotation lifecycle.
The Situation
The Agent Reads Everything in the Repo
An AI coding agent debugging a failing integration reads the config file, the environment, and the deployment script. Whatever it reads can become context, and context is sent to the provider.
The developer did nothing wrong. The tool did exactly what it was asked. And a live production key is now in a third-party system with retention terms nobody on your team negotiated.
What Goes Wrong Today
Traditional DLP Does Not Speak Conversation
- Wrong channel. Email and file DLP does not inspect an agent's session with a model provider.
- Blunt enforcement. Blocking a whole tool because one prompt contained a key trains developers to work around the control.
- No attribution. "A key leaked" is a different incident from "the agent surfaced a key from the codebase" - and most tooling cannot tell them apart.
- Unknown blast radius. Nobody knows whether the leaked credential is still live.
What Kraitos AIDR Does
Detect, Redact, Verify, Rotate
- Detect - 37+ patterns across secrets, PII, PHI, financial, and PCI categories, plus entropy analysis for formats no pattern knows
- Attribute - every finding records whether it appeared in a user prompt, an assistant response, or a tool call output
- Redact and allow - remove the secret from the session file while the conversation continues
- Verify - probe supported credential types to determine whether the leak is live, revoked, unknown, or unsupported
- Rotate - a tracked lifecycle that mints a replacement, revokes the leaked credential, and confirms it is dead
- Suppress noise - per-tenant allowlists so test fixtures stop generating findings forever
Redact-and-allow is the difference between a control developers route around and one they never notice. The credential is protected; the conversation keeps its context.
What You End Up With
Exposure Measured in Minutes, Not Quarters
- Every credential that reached a model provider, with the role it came from
- Whether each one is still live - and a rotation trail proving the leak is dead
- Per-user and per-rule analytics with 30-day trends and a resolution workflow
- Evidence for SOC 2 CC6.7, PCI 3.4.1, and HIPAA §164.312(e)(1) as a byproduct
See Kraitos AIDR in Action
Deploy in 60 seconds. Get answers in 24 hours. Stop guessing what your AI-augmented organization is doing.
[email protected]kraitos.io