WHITEPAPER
Beyond Mythos
Why LLMs alone are not enough for Enterprise grade Pen Testing
Large Language Models (LLMs) can “think,” but they can’t “do.” Discover the architectural blueprint required to turn AI reasoning into safe, auditable, and autonomous security execution and why bridging that gap takes more than a better prompt.
What’s Inside the Report?
- The Frontier Fallacy: Why frontier models like GPT, Claude, and Gemini can reason about attacks but cannot execute them, and what that means for your security program.
- The Engine vs. Vehicle Framework: A deep dive into why enterprise pen testing requires an Execution Runtime, Safety Guardrails, and Audit Infrastructure beyond the AI model itself.
- The 5-Layer Security Architecture: How to build a system that handles Recon, Authentication Testing, Lateral Movement, and Evidence Collection autonomously.
- Real-World Case Study: How a Fortune 500 company scaled from 200 to 2,000+ applications tested annually, reducing cost per test by 80%
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