Security Operations Prototyping and Proof-of-Concept Documentation
Welcome to the public documentation and demonstration repository for security operations research conducted by GraphSentinel and Conjectura R&D.
This site hosts whitepapers, architectural documentation, and proof-of-concept materials for our security research initiatives.
A proactive defense architecture for securing agentic AI systems operating over the Model Context Protocol (MCP).
Status: Whitepaper in progress
| Resource | Description |
|---|---|
| Overview | Introduction to proactive federated defense |
| Architecture | Visual architecture diagrams and component reference |
| Reactive vs Proactive | Detailed comparison of defense approaches |
Developing security frameworks for autonomous AI systems, with focus on:
Applying Graph Neural Networks to security operations:
Whitepapers currently in preparation. PDF versions will be available upon completion.
GraphSentinel is an open-source initiative applying Graph Neural Networks to security analytics.
Conjectura R&D focuses on applied research in AI security and defense architectures.
Zeyno Dodd - R&D Architect, Conjectura R&D Focus: Agentic AI defense architectures, proactive defense patterns, governance contracts
Mustafa Dayioglu - Senior Security Architect Focus: Attack surface analysis, MCP security assessment
License: CC BY 4.0 (Documentation) | Apache 2.0 (Code)