What problem does it solve?
Outbound data leaks from agent tool calls pose a risk to credentials, secrets, and sensitive information. This Skill provides automated detection and protection to prevent data exfiltration.
Core Features & Use Cases
- Static pattern matching and NLP-based scanning of outbound tool-call payloads, URLs, headers, and query strings to detect secrets and PII/PHI.
- Per-call enforcement with redaction tokens and immediate blocking, plus optional waivers for sanctioned data flows.
- Chain-correlation window to detect split-secret leakage across multiple calls, ensuring end-to-end coverage in dynamic agent workflows.
- Easy integration with existing secrets vaults and runtime hooks, with a configurable custom term library per project.
Quick Start
Configure the DLP system to scan outbound tool calls for sensitive data and block or redact matches in real time.