RevEng.AI Raises $15 Million to Hunt for Flaws and Backdoors in Software Binaries
infonews
industrysecurity
Source: SecurityWeekMay 27, 2026
Summary
RevEng.AI, a cybersecurity startup, raised $15 million to develop an AI tool called BinNet that analyzes compiled software binaries (the machine-readable code that actually runs on computers) to find vulnerabilities and backdoors without needing the original source code. The technology aims to secure the software supply chain by verifying what software actually does before it's deployed, which is increasingly important as AI systems are used to write code automatically.
Classification
Attack SophisticationModerate
Impact (CIA+S)
integrity
AI Component TargetedModel
Affected Vendors
Monthly digest — independent AI security research
Original source: https://www.securityweek.com/reveng-ai-raises-15-million-to-hunt-for-flaws-and-backdoors-in-software-binaries/
First tracked: May 27, 2026 at 08:00 AM
Classified by LLM (prompt v3) · confidence: 75%