AI Security

Adversarial Hardening: Deconstructing ChatGPT’s Lockdown Mode and Heuristic Risk Labeling Architecture An architectural analysis of OpenAI’s latest defense mechanisms against prompt injection, jailbreaking vectors, and inference-layer vulnerabilities. The Pivot to Defensive Inference Architectures In the rapid evolution of Large Language Models (LLMs), the dialectic between model capability and adversarial robustness has reached a critical inflection

Runtime Sovereignty: Architecting Zero-Dependency Firewalls for Autonomous AI Agents An architectural analysis of SafeRun Guard and the imperative for deterministic security layers in probabilistic agent workflows. The Paradox of Autonomy in Agentic AI The transition from Generative AI (GenAI) to Agentic AI represents a fundamental shift in the computational paradigm: we are moving from read-only