Vector databases power RAG but also expose new leak paths. This playbook shows how embedding leakage and query-driven exfiltration happen, and how to stop them with access controls, input scrubbing, monitoring, and adversarial testing.
Artificial Intelligence
AI Incident Response & Forensics — Operational Playbook for Defense
AI Security, Incident Response, Digital Forensics, Model Integrity, Cloud Security, MITRE ATLAS, NIST SP 800-61, Vertex AI, Threat Intelligence, Cyber Defense Playbook
AI Model Watermarking & Provenance Verification — Operational Playbook for Defense
AI model watermarking and provenance validation are key defenses against cloning, tampering, and impersonation. This playbook explains practical methods, tools, and frameworks to verify authenticity and secure your AI ecosystem.
AI Supply Chain Resilience — Operational Playbook for Defense
AI supply-chain attacks exploit compromised models, datasets, and plugins. This playbook details how to inventory components, validate provenance, detect backdoors, and respond effectively.
Adversarial Evaluation & AI Red Teaming Pipelines — Operational Playbook for Defense
Adversarial evaluation turns AI risks into automated tests that run in CI/CD and block unsafe releases. This playbook shows how to design threat-led evals, wire them into pipelines, and align with NIST, OWASP, MITRE ATLAS, and SAIF.
AI-Powered Contract Fraud & Document Forgery — Operational Playbook for Defense
AI-powered forgeries are infiltrating contract and payment workflows. This playbook explains how synthetic contracts and invoices are created, highlights real incidents, and outlines practical defenses — from certificate-backed signatures and sandboxing to dual-control verification.
AI-Driven Voice Cloning Scams — Operational Playbook for Defense
AI voice-cloning lets criminals mimic familiar voices to commit fraud. This playbook explains real-world cases, threat mechanics, and countermeasures like multi-channel verification, liveness detection, and awareness training.
Stealth Bias Injection — Operational Playbook for Defense
Stealth bias injection hides subtle, high-impact model bias inside retraining or feedback loops. This playbook explains how these attacks work, realistic scenarios, and practical defenses: provenance controls, subgroup testing, adversarial drills, and gated retraining.
Model Extraction & API Abuse — Operational Playbook for Defense
Attackers can clone ML models or extract memorized data through API queries. This playbook details mechanisms, real-world research, and defenses such as output minimization, DP, and active monitoring.
AI-Generated Fake Vulnerability Reports — Operational Playbook for Defense
AI is now being used to generate fake vulnerability reports mimicking ethical disclosure. This playbook covers how the attacks work, real-world cases, and practical defenses to secure your vulnerability intake process.