Data Egress Monitoring
Know Where Your Data Goes - Sanctioned, Shadow, and Everything Between
Every AI-related outbound connection is classified, counted, and reviewable - with one-click reclassification and policy-engine enforcement behind it.
The Problem
Data Boundaries Nobody Can See
Every AI tool on every endpoint makes outbound connections - to cloud LLM APIs, to MCP servers, to cloud storage, to destinations the security team has never evaluated. Firewall logs show an IP and a port; they do not show that a developer's editor plugin is streaming source files to an unreviewed inference provider.
A data boundary policy that cannot be observed cannot be enforced. Classification has to come first.
How It Works
Classify, Review, Enforce
| Category | Meaning |
|---|---|
| Sanctioned AI | Approved AI provider |
| Shadow AI | Unapproved AI tool or endpoint |
| Cloud storage | File transfer or storage destination |
| Unknown | Unclassified destination awaiting review |
| Blocked | Policy-denied connection |
- Automatic classification by destination and provider, with instant shadow-AI flagging
- MCP server destination tracking - external tool servers are first-class destinations, not anonymous IPs
- One-click reclassification: promote to sanctioned, or block outright
- Connection counts and history per destination, so a one-off differs visibly from a daily pipeline
- Policy-engine integration for automated alerting and enforcement on new or unapproved destinations
What You See
The Egress Console

Compliance Mapping
Controls This Evidences
- NIST SC-7
- Boundary protection - monitored and controlled communications at external boundaries
- SOC 2 CC6.6
- Logical access - restricting external connections to approved destinations
- ISO A.8.20
- Network security - monitoring and control of network traffic
- PCI 1.3.2
- Restricting outbound traffic from the cardholder data environment
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