RevEng.AI Raises $15 Million to Analyze Software Binaries for Security Flaws
Summary
RevEng.AI raised $15 million in Series A funding and says its BinNet AI platform analyzes compiled software without source code to identify vulnerabilities, backdoors, and other security issues.
Key points
- The London-based startup raised $15 million in a Series A round led by NATO Innovation Fund, bringing its total funding to $19.5 million.
- RevEng.AI says its BinNet model analyzes compiled software at the binary level without requiring source code.
- The company says the platform can identify vulnerabilities, backdoors, hidden functionality, dangerous behavior, and abnormal release changes.
- The platform is intended to verify internally developed and third-party software, including closed-source software, within existing security and software delivery workflows.
Article Details
- Event Type
- Funding announcement: RevEng.AI raised $15 million in a Series A round, bringing its total funding to $19.5 million.
- Impact
- RevEng.AI plans to use the funding to advance its AI-based binary analysis technology for identifying vulnerabilities, backdoors, and other security issues in software without requiring source code. The platform is intended to help organizations verify software and improve supply-chain visibility.
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CybersecurityCybersecurity startup RevEng.AI today announced raising $15 million in a Series A funding round that brings the total raised by the company to $19.5 million.SoftwareFounded in 2023, London-based RevEng.AI is using an AI model named BinNet to analyze compiled software at the binary level and identify vulnerabilities and backdoors.