RESEARCH // 02 • DEFENSIVE SYSTEMS
Cybersecurity Research
A serious scientific research environment focused on software architecture discovery, attack surface formalization, AI agent sandboxing, and coordinated vulnerability disclosure.
Defensive Research Methodology
System Telemetry & Anomaly Detection
Defensive instrumentation inspecting protocol state machines, TLS handshake deviations, and unusual payload entropy. Operating in passive monitoring mode to establish mathematical baselines for normal cluster behavior.
AI Agent Security & Privilege Gating
As AI agents gain access to filesystems and APIs, we research containment harnesses: deterministic permission tokens, unambiguous tool-calling schemas, and real-time AST parsing to prevent unintended system modification.
Attack Surface Analysis
Developing graph-based algorithms that model exposed endpoints, identity mappings, and dependency trees across complex distributed systems.
AI Safety & Prompt Isolation
Investigating indirect prompt injection, data exfiltration through context windows, and cryptographic isolation barriers between user prompts and internal tool tokens.
Coordinated Vulnerability Disclosure
Our laboratory works strictly within responsible disclosure frameworks. Findings are reported privately to maintainers with adequate remediation windows prior to public discussion.