VECTOR 03 // AI & LLM GOVERNANCE

AI & GenAI Red Teaming (ISO 42001)

Adversarial evaluation of enterprise LLM agents, RAG ingestion pipelines, and vector databases against indirect prompt injection, tool jailbreaks, and training data exfiltration.

EVALUATION FRAMEWORK

4-Phase AI Adversary Simulation

PHASE 01

Prompt & RAG Mapping

Analyzing system prompts, embedding pipelines, vector DB distance metrics, and connected API tools.

PHASE 02

Jailbreak Injection

Executing zero-font document ingestion, multi-modal jailbreaks, and indirect prompt injection attacks.

PHASE 03

Enclave Hardening

Architecting dual-enclave sandboxing, Pydantic strict schema gates, and NeMo guardrail policies.

PHASE 04

ISO 42001 Evidence

Delivering comprehensive AI risk matrices and safety attestations for enterprise AI governance boards.

In-Scope AI Attack Vectors

Indirect Prompt Injection: Document ingestion payloads, OCR poisoning, zero-font bypasses.
RAG Data Exfiltration: Vector similarity inversion and cross-tenant embedding extraction.
Autonomous Agent Tool Abuse: Unauthorized shell execution, SQL manipulation, and API bypass.
Model Denial of Wallet: Algorithmic complexity exhaustion and recursive context overflow.

Deliverables & Artifacts

ISO/IEC 42001 Risk Matrix: Full alignment with global AI governance criteria.
Dual-Enclave Sandboxing Blueprints: Architectural patterns to isolate untrusted user inputs.
Guardrail Policy Configurations: Production-ready Llama-Guard / NeMo Guardrail rules.
7-Page Executive AI Safety Brief: Clear risk narratives for C-Suite and legal counsel.

TECHNICAL ARTIFACT SPECIFICATION

Dual-Enclave LLM Agent Sandboxing Pattern

ARCHITECTURE: UNTRUSTED INGESTION ISOLATION SANDBOX VERIFIED

[Untrusted PDF / Ingestion Stream]

└──> [Extractor LLM (0 Tool Execution Permissions)]

+ └──> Validated Strict JSON Schema (Pydantic / Zod)

+ └──> [Privileged Execution Agent (Pre-Sanitized Parameters Only)]