Volume 7 — Failure, Security, and Hostile Environments
How AI systems break, leak, get attacked, or quietly become cursed.
Reports
AI-ENG-S — Production Pathologies: Hallucination, Malformed Output & Runaway Behavior
Covers hallucinated tool calls, malformed JSON, broken schemas, invalid citations, instruction loss, tool loops, brittle chains, contradictory outputs, non-deterministic regressions, and production failure patterns that do not appear in demos.
AI-ENG-T — Boundary Defense: Prompt Injection, Data Leakage & Tenant Isolation
Covers prompt injection, indirect prompt injection, cross-user contamination, system prompt exposure, sensitive data leakage, retrieval poisoning, cache leakage, multi-tenant isolation, permission boundaries, and context separation in B2B environments.
AI-ENG-U — AI Supply Chain Security: Models, Datasets, Dependencies & Tool Surfaces
Covers model provenance, malicious artifacts, dataset poisoning, embedding poisoning, dependency risk, parser risk, plugin risk, tool-server risk, secrets handling, sandboxing, egress control, and output-handling vulnerabilities when model output flows into code, shell, SQL, email, browsers, or internal systems.
AI-ENG-V — Resource Abuse, Cost Bombs & Unbounded Consumption
Covers denial-of-wallet attacks, recursive agents, context flooding, retrieval flooding, tool-loop exhaustion, adversarial latency inflation, runaway batch jobs, quota exhaustion, and budget-aware containment systems.