Enterprise AI Security & Adversarial Red-Team Audit
Execute a 20-point adversarial diagnostic across prompt firewalling, RAG vector ACL isolation, sandboxed agentic tool execution, signed safetensors supply chains, and bare-metal GPU enclave containment.
How does your document ingestion pipeline defend against indirect prompt injection hidden inside untrusted PDFs, emails, and HTML (e.g., 0.001pt font or white-on-white text)?
Auditor Focus: Standard DOM text extractors (PyMuPDF, pdfminer, Unstructured) blindly extract invisible 0.001pt and white-on-white text spans, allowing external invoices or resumes to hijack downstream RAG copilots.
Raw Text Stream Extraction (Unprotected)
Documents are parsed directly into chunks via standard PDF/HTML text extractors without font-size, bounding-box, or luminance verification.
Keyword / Regex Prompt Filter Only
Extracted text is scanned for static jailbreak phrases ('Ignore previous instructions'), which adversaries bypass using base64, multilingual, or semantic encoding.
Secondary LLM Guardrail Classifier
Retrieved chunks pass through an auxiliary guardrail model (e.g., Llama-Guard / NeMo) before context assembly, reducing but not eliminating optical spoofing.
Dual-Pass Viewport OCR & Luminance Attestation
Pre-chunking sanitizer strips any span <4.5pt, off-canvas, or >0.92 sRGB luminance delta and cross-attests DOM text against rendered raster OCR.
The Tangible Deliverable
Flip through 6 sample folios from our commissioned 84-page forensic study, or download the sample PDF.

Enterprise AI Security, Adversarial Red-Teaming & Sovereign Architecture Audit

Pursuant to our engagement mandate, Logic42 Sovereign Engineering Practice has completed an independent, empirical 120-control architectural inspection and adversarial red-team campaign across your production Large Language Model (LLM) gateways, Vector RAG substrates, and autonomous Model Context Protocol (MCP) agent workflows.
Enterprise AI Security & Adversarial Red-Team Reference Standard
The Logic42 Enterprise AI Security & Adversarial Red-Team Audit evaluates sovereign AI deployments against OWASP Top 10 for LLM Applications (2025), MITRE ATLAS adversarial tactics, and NIST AI 100-2e2025. It benchmarks five critical attack surfaces: Prompt Gateway & Semantic Firewalls, RAG & Vector Substrate Isolation, Autonomous Agent & MCP Tool Sandboxing, Cryptographic Model Supply Chain (AI-SBOM), and Bare-Metal GPU Enclave & Kernel Telemetry.
| Clause / Vector | Governance Domain | Primary Stage 1 Audit Blocker | Deterministic Engineering Remediation |
|---|---|---|---|
| OWASP LLM01:2025 | Prompt Gateway & Visual Cross-Attestation | Zero-font/white-on-white hidden PDF directives hijacking RAG and Copilot instructions | Deploy dual-pass OCR vs. raw text visual attestation and sub-15ms semantic ingress firewall |
| OWASP LLM08:2025 | Pre-Retrieval Vector ACL & Lineage | Post-retrieval application filtering leaking restricted board & HR embeddings into top-K context | Enforce cryptographic pre-retrieval RBAC metadata predicates inside Milvus/Qdrant |
| OWASP LLM06:2025 | Agentic MCP Sandboxing & LOTA Defense | Autonomous agents executing arbitrary shell/SQL tools with long-lived static IAM credentials | Isolate tool execution in ephemeral Firecracker microVMs with Out-of-Band human cryptographic approval |
| OWASP LLM03 & ATLAS | Signed Safetensors & Air-Gapped GPU Enclave | Unsigned HuggingFace weights and unmonitored outbound internet egress from GPU inference pods | Mandate Sigstore Cosign SHA-256 safetensors verification and Tetragon eBPF deny-by-default egress |
Frequently Asked Questions
What does the Logic42 20-Point Enterprise AI Security & Adversarial Red-Team Audit evaluate?
It evaluates 20 high-severity adversarial control checkpoints across 5 pillars: Prompt Gateway & Ingress Firewalls, RAG & Vector Substrate Isolation, Autonomous Agent & MCP Tool Sandboxing, Model Supply Chain & AI-SBOM Integrity, and Sovereign GPU Enclave & Kernel Telemetry—mapped directly to OWASP LLM Top 10 (2025), MITRE ATLAS, and NIST AI 100-2e2025.
How do indirect prompt injection and zero-font PDF exploits bypass traditional enterprise firewalls?
Traditional WAFs inspect network packets for SQLi or XSS signatures, not semantic natural language instructions embedded inside documents. When a RAG pipeline parses a PDF containing white-on-white or 0.1pt font instructions, those hidden commands enter the LLM context window as trusted system context, hijacking the model or triggering Living Off the Agent (LOTA) lateral movement.
What is the difference between the free 20-question online diagnostic and the Commissioned 84-Page Boardroom Monograph?
The free 20-question online diagnostic provides an immediate self-reported maturity score, 5-axis radar chart, and initial 8-page summary PDF. Organizations requiring formal board assurance or regulatory defense can commission a 4-to-6 week Principal Architect Red-Team Study delivering an 84-page hard-bound 4-Volume Monograph with 10,000-run Monte Carlo VaR modeling, live exploit PoC traces, cryptographic AI-SBOM attestation, and a fixed-cost 90-day BTO engineering Bill of Materials.
How does Logic42 secure autonomous AI agents and Model Context Protocol (MCP) tool servers?
We eliminate shared static service tokens and host-level code execution by binding every agent task to a cryptographic SPIFFE/SPIRE workload identity, running code/SQL tools inside ephemeral 15-second Firecracker microVMs, and enforcing Tetragon eBPF kernel policies that halt unauthorized socket egress in sub-millisecond time.
Related Production Traps & Field Briefs
The Invisible Text RAG Trap: Why Zero-Font PDFs Hijack Copilots
The Model Context Protocol Security Trap: Why Agent Tools Bypass Firewalls
Living Off the Agent (LOTA): AI Tool Loops as Lateral Movement
Stop Filtering Prompts: Why Autonomous AI Agents Require System-Call Sandboxing
Evaluating Cloud LLM API Token Spend vs. Private Bare-Metal Clusters?
Model exact KV-cache VRAM physics across DeepSeek-V4.1, Kimi K2.5, and GLM-5.3 and calculate your 24-month HGX H200 / B200 repatriation payback month.
Inspect the 4-Layer Deterministic AI Control Plane
Layer 1: Dual-Pass PDF Viewport Attestation Filter
Standard DOM parsers (PyMuPDF/pdfminer) blindly extract 0.001pt and white-on-white (#FFFFFF) text streams, allowing hostile PDFs to hijack downstream RAG copilots. Logic42 enforces pre-chunking geometry and sRGB luminance verification.
if span.size < 4.5 or luminance(span.color) > 0.92 or not page.rect.contains(span.bbox): quarantine_event()4-Layer Deterministic AI Control Plane — Reference Architecture & 90-Day Handover Spec
Standard DOM parsers (PyMuPDF/pdfminer) blindly extract 0.001pt and white-on-white (#FFFFFF) text streams, allowing hostile PDFs to hijack downstream RAG copilots. Logic42 enforces pre-chunking geometry and sRGB luminance verification.
if span.size < 4.5 or luminance(span.color) > 0.92 or not page.rect.contains(span.bbox): quarantine_event()
Post-retrieval LLM filtering leaks restricted executive chunks into context windows, while uncompacted streaming Parquet files stall queries. Logic42 injects cryptographic principal claims directly into Milvus/Qdrant ANN boolean filters.
expr = f"tenant_id == '{jwt.tid}' and clearance_level <= {jwt.scope} and is_tombstoned == false"Naive round-robin load balancing across multi-tenant vLLM workers evicts PagedAttention KV-cache blocks on every turn. Our gateway hashes the first 512 prompt tokens to pin agent personas to sticky GPU workers while routing simple turns to local SLMs.
worker_id = consistent_hash(sha256(prompt_tokens[:512]), active_vllm_workers)
Regional cloud checkboxes do not block extraterritorial CLOUD Act warrants if the hyperscaler holds root KMS keys. We isolate inference inside AMD SEV-SNP confidential VMs with client-held HSM keys and stripped default WAN gateways.
ip route del default && ip route add 10.0.0.0/8 via 10.0.1.1 dev eth0 # Zero WAN Egress
Days 1–30 (Build): Stand up L1–L4 inside client VPC or bare-metal HGX cluster with OpenTelemetry & Terraform/Helm IaC. Days 31–60 (Transfer): Pair-program runbooks, chaos drills, and ISO 42001/27001 evidence logs with internal SREs. Days 61–90 (Operate): Full root HSM key handover (zero vendor lock-in) with optional SLA drift assurance.
Disclaimer: This diagnostic evaluates alignment with normative clauses and technical controls for architectural gap-analysis purposes. Formal statutory certification requires an independent audit conducted by an accredited conformity assessment body.