Part I · Top 10 AI Vulnerabilities
Prompt injection, data poisoning, excessive agency and the rest of the OWASP LLM Top 10 — described, evidenced and mitigated. 11 numbered sections. Open Part I →
AI Security Sentinel
A synthwave field manual for AI security — the OWASP LLM Top 10 vulnerabilities facing AI systems, plus the offensive and adversarial model stack for authorized red-teaming.
Two source reports, one numbered manual. Part I breaks down the ten most critical vulnerabilities facing AI systems (OWASP LLM Top 10, 2026 revision) with real-world incidents and mitigations. Part II evaluates the offensive, guardrail-removed, and specialist cyber models a red-team practice can legally field — capabilities, pricing, benchmarks, workflow integration, and the cheap-model techniques that close the gap to frontier labs.
Part II · Offensive AI Models
OrcaRouter, Abliteration AI, Adverserial AI, DreadNode and the frontier comparison — costs, benchmarks, legal workflow and a concrete starter stack. 14 numbered sections. Open Part II →
1. Contents
Section titled “1. Contents”1.1 Part I · Top 10 security vulnerabilities faced by AI systems
Section titled “1.1 Part I · Top 10 security vulnerabilities faced by AI systems”- 0Overview & contentsScope, severity legend and reading order
- 1Prompt InjectionOWASP LLM01 · Critical
- 2Sensitive Information DisclosureOWASP LLM02 · Critical
- 3Supply Chain VulnerabilitiesOWASP LLM03 · High
- 4Data and Model PoisoningOWASP LLM04 · High
- 5Improper Output HandlingOWASP LLM05 · High
- 6Excessive AgencyOWASP LLM06 · High
- 7System Prompt LeakageOWASP LLM07 · Medium-High
- 8Vector & Embedding WeaknessesOWASP LLM08 · Medium-High
- 9Misinformation & HallucinationOWASP LLM09 · Medium
- 10Unbounded ConsumptionOWASP LLM10 · Medium
- 11Summary Table, Frameworks & SourcesSeverity matrix and references
1.2 Part II · Offensive & adversarial AI models for legal red-teaming
Section titled “1.2 Part II · Offensive & adversarial AI models for legal red-teaming”- 0Overview & contentsMethod, correction note and reading order
- 1Executive SummaryTL;DR and vendor comparison table
- 2BackgroundWhat was asked for and terminology fixes
- 3OrcaRouter — Native Cyber ModelsGateway, gated models, pricing, API, guardrails
- 4Abliteration AI — Guardrail-Removed ModelsHosted abliterated models, tiers, legal gap
- 5Adverserial AI — CyberKimi + CyberGLMSpecialist lab, benchmarks, privacy claims
- 6Comparison MatrixAll three vendors side by side
- 7Legal Workflow for Client EngagementsPer-vendor engagement runbooks
- 8Reviews SynthesisWhat third parties and skeptics actually say
- 9Recommendation — Best Cost-Effective StackWinner, math and starter stack
- 10Installation & Integration Guides5-minute setups for each vendor
- 11Risks, Caveats & What Not to DoName confusion, claims to avoid, pricing drift
- 12DreadNode — Agent InfrastructureSandboxed agents, evals and cost verdict
- 13Frontier Models vs the Poor Man’s StackGap analysis and ten techniques to close it
- 14SourcesVendor docs, code hubs, press and research
2. Works like an app
Section titled “2. Works like an app”This manual is an installable PWA: add it to your home screen and previously visited sections keep working offline — including syntax-highlighted code blocks and wide comparison tables, which scroll sideways instead of breaking the layout on phones.