Are you a Federal or Commercial security professional struggling with “black-box” software risks? Security engineers often face:
Invisible threats lurk within compiled code without source code access
Analysis and reverse-engineering move slower than the adversary
Public disclosures lack key data to pinpoint critical vulnerabilities
The AI-Assisted Reversing, Discovery, Vulnerability Analysis, and Remediation Kit (AARDVARK) leverages Natural Language Processing (NLP), Large Language Models (LLMs), Generative Artificial Intelligence (GenAI), and Machine Learning (ML) to perform AI-driven, static vulnerability analysis of binaries. This cutting-edge approach, which extends the proven capabilities of Dark Wolf’s internal LLM platform (WolfChat) and Saving Throw, aims to identify zero-day and N-day security vulnerabilities, ultimately improving the overall security posture of software and systems.
Unlike other COTS software products, AARDVARK is an innovative, affordable, and effective solution that applies cutting-edge AI technologies for static binary analysis. This is demonstrated by its use of a specialized adaptation of GenAI within the WolfChat platform to extract binary features, process data into a vector database, and provide quick retrieval by the LLM to answer user questions about the binary.
During a recent security assessment of Android and iOS apps, AARDVARK slashed manual testing time from 40 hours down to 8 hours. This 80% increase in efficiency allowed our team to move beyond surface-level checks. By leveraging AARDVARK’s AI-driven deep-scan capabilities, we successfully uncovered and proved critical vulnerabilities, including an iOS buffer overflow and exposed Java exec() methods, that traditional manual assessments often miss.
Dark Wolf’s AI-Assisted Zero-Day Vulnerability Discovery
