Today, I’m proud to formally introduce Mega Bite, RevEng.AI’s suite of specialized AI models for binary analysis. This includes two new proprietary models, WilBERT and Ventris, built to analyze binary software without requiring access to source code, closing a visibility gap that traditional decompilers and general-purpose LLMs have never managed to. This launch represents an enormous amount of research, engineering, and persistence from the RevEng.AI team, and I’m incredibly proud of what we have built together. As organizations rely on more third-party, commercial, and AI-generated software, understanding what is actually inside each executable has never been more important. WilBERT and Ventris change what is possible in binary analysis, giving security teams the speed, accuracy, and confidence needed to verify software at scale. https://lnkd.in/ejsTNt53 #RevEngAI #BinaryAnalysis #SoftwareSupplyChainSecurity
RevEng.AI Mega Bite Product Launch | Introducing WilBERT and Ventris
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Binary-level verification feels increasingly useful as more software arrives without full source visibility. Being able to inspect behaviour at scale could close a real gap for security teams.
Analyzing binaries without source code closes a major gap, though semantic drift during compilation often tests model accuracy.
Congratulations James 👏
Congratulations James Patrick-Evans!
Great milestone—congratulations to the whole team!!
Check out the technical write up from the RevEng.AI team here - https://reveng.ai/blog/introducing-wilbert-and-ventris