AI Red-Teaming
Systematic exploration of Large Language Model vulnerabilities through adversarial prompt engineering, jailbreak research, and alignment testing. Investigating how GenAI systems respond to edge cases and malicious inputs.
A sandbox for Advanced Threat Modeling, GenAI Security, and Rust-based Tooling. Exploring the intersection of architecture, adversarial thinking, and resilient system design
Core domains of exploration & experimentation
Systematic exploration of Large Language Model vulnerabilities through adversarial prompt engineering, jailbreak research, and alignment testing. Investigating how GenAI systems respond to edge cases and malicious inputs.
Building high-performance telemetry systems in Rust for distributed tracing, metrics aggregation, and real-time threat detection. Leveraging memory safety and zero-cost abstractions for production-grade monitoring.
Implementing Zero Trust frameworks, microsegmentation strategies, and policy-as-code approaches. Designing resilient architectures that assume breach and validate continuously.
$ exploit_vector: pre-auth unauthenticated RCE | affected_versions: 9.0-9.5
$ model_tested: GPT-4, Claude-3, Gemini | success_rate: 73%
$ runtime: containerd 1.7.x | privilege_escalation: host_root
$ performance: 15μs latency | memory_overhead: <2MB | packets: 10M/sec
$ deployment: kubernetes | enforcement_point: service_mesh | policy_updates: real-time