2 repositorios
Tracking the movement of personally identifiable information through application components and external APIs.
Distinct from Flow-Sensitive Analysis: None of the candidates cover the active tracing of sensitive data movement through code flow.
Explore 2 awesome GitHub repositories matching security & cryptography · Sensitive Data Flow Detection. Refine with filters or upvote what's useful.
Atmosphere is a Java-based framework for building and coordinating AI agents. It provides a real-time transport layer for streaming data via WebSockets, SSE, gRPC, and WebTransport, alongside a multi-agent orchestration framework for managing agent fleets through sequential, parallel, and graph-based execution workflows. The project features a durable workflow engine that persists agent state as snapshots, allowing long-running tasks to survive system restarts and incorporate human-in-the-loop approvals. It also implements Model Context Protocol servers to expose tools, resources, and prompt
Monitors data movement from sensitive sources to prohibited sinks to prevent security vulnerabilities.
Bearer is a static analysis security testing tool and privacy compliance auditor. It identifies security vulnerabilities, hard-coded secrets, and privacy risks in source code through static analysis and data flow tracing. The tool distinguishes itself by tracking the movement of sensitive data through code to identify leaks and by mapping personal and health-related information flows to generate evidence for privacy impact assessments. It also provides differential scanning for pull requests and uses fingerprint-based suppression to exclude known false positives from reports. The platform co
Identifies the movement of protected data types through application components and third-party APIs.