For organizations and federal agencies using AI-embedded applications that must perform:
Gain transparency into whether executables contain AI
Know what kind of AI it is, how it works, and how it was trained
NeuroProbe detects, identifies, and characterizes AI models and software components embedded in software binaries, revealing potential security and privacy risks. NeuroProbe uses a hybrid approach, including static, dynamic, and signature analysis, plus relationship mapping, to uncover embedded AI. It identifies AI components, extracts model architectures, and infers their purpose. Beyond detection, we investigate potential training data information via membership inference attacks.
Unlike traditional security tools that only scan code or network traffic or COTS tools that require costly multi-year licenses, NeuroProbe is a specialized and cost-effective accelerator designed to illuminate and characterize the risks within AI models embedded in software. Its multi-stage analytical pipeline moves from basic detection to model extraction and deep structural analysis, revealing potential security and privacy vulnerabilities that are invisible to standard analysis.
NeuroProbe significantly benefits Dark Wolf’s defense and intelligence customers, improving software supply chain security by identifying potentially risky AI components in third-party software. It also enhances cybersecurity by uncovering hidden AI code that could be exploited. Finally, it empowers informed acquisition decisions, ensuring that the software product is safe and secure for government use.
Dark Wolf’s AI Detection and Characterization in Applications
