Full Lifecycle AI Security
Comprehensive analysis of inference, agentic, training, and supply-chain attack surfaces. Documents architectural limits that cannot be closed by any external firewall.
1. Inference Lifecycle (Runtime Boundary)
Analysis of prompt injection, delimiter breakout, and multi-encoding payload transformations against zero-trust boundary inspect daemons.
2. Agentic Lifecycle (State & Tool Isolation)
Evaluation of memory poisoning (MINJA-style), tool result injection, and Model Context Protocol (MCP) integrity verification.
3. Pre-Training & Fine-Tuning Attack Surfaces
Auditing data contamination and near-constant sample requirements (~250 documents) for persistent backdoor insertion.
4. Architectural Impossibilities & Formal Limits
Rigorous discussion on why external firewalls cannot inspect latent model weights, cannot divine undocumented chain-of-thought intent without observable traces, and why defense-in-depth requires strict boundary decoupling.