system.security.research.v2

Engineering
Resilience.

A sandbox for Advanced Threat Modeling, GenAI Security, and Rust-based Tooling. Exploring the intersection of architecture, adversarial thinking, and resilient system design

Research Pillars

Core domains of exploration & experimentation

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.

LLM Security Prompt Injection Adversarial ML Model Alignment

System Observability

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.

Rust Tooling Distributed Tracing eBPF Performance

Architectural Governance

Implementing Zero Trust frameworks, microsegmentation strategies, and policy-as-code approaches. Designing resilient architectures that assume breach and validate continuously.

Zero Trust Policy Engine Service Mesh mTLS

// Latest Intelligence

LIVE FEED
CRITICAL

CVE-2025-0147: Remote Code Execution in OpenSSH 9.x

$ exploit_vector: pre-auth unauthenticated RCE | affected_versions: 9.0-9.5

ATTACK:DEFEND
HIGH

LLM Jailbreak: Multi-Turn Context Poisoning Technique

$ model_tested: GPT-4, Claude-3, Gemini | success_rate: 73%

AI-SEC
HIGH

Zero-Day in Container Runtime: Escape via cgroup v2

$ runtime: containerd 1.7.x | privilege_escalation: host_root

CONTAINER-SEC
MEDIUM

Rust Telemetry Stack: eBPF-based Network Observability

$ performance: 15μs latency | memory_overhead: <2MB | packets: 10M/sec

TOOLING
MEDIUM

Zero Trust Policy Engine: OPA Integration Patterns

$ deployment: kubernetes | enforcement_point: service_mesh | policy_updates: real-time

ARCHITECTURE

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