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Follow on Google News | ![]() BinLens™ 3.2: Discover Hidden Vulnerabilities Before Attackers DoSan Diego, CA — April 2, 2025 — ObjectSecurity LLC, a recognized leader in advanced defense and industrial cybersecurity solutions, today announced the official release of BinLens™ 3.2, the latest iteration of its groundbreaking binary vulnerability analysis tool. BinLens™ 3.2 empowers organizations to proactively detect hidden and zero-day vulnerabilities in both IT and OT/ICS environments. Leveraging advanced automation and cutting-edge symbolic analysis, BinLens™ helps Red Teams, Threat Hunters, Reverse Engineers, DevSecOps practitioners, and Procurement Teams identify vulnerabilities missed by traditional security approaches — all with a dramatically lower false positive rate. "In today's fast-evolving threat landscape, organizations can no longer rely solely on conventional vulnerability detection methods," said Dan Mathews, Media Relations at ObjectSecurity. "BinLens™ 3.2 transforms binary security analysis from a reactive process into a proactive, automated defense system." Key Innovations in BinLens™ 3.2:
BinLens™ 3.2 is designed for a wide range of users, including cybersecurity researchers, developers, QA testers, and critical infrastructure operators. Unlike traditional scanning methods limited to known vulnerabilities, BinLens™ leverages symbolic binary-level analysis to uncover previously undetectable risks — enhancing both resilience and operational readiness. Availability BinLens™ 3.2 is available now directly through ObjectSecurity and its network of authorized partners. To learn more or to schedule a demo, visit: 🌐 www.objectsecurity.com/ About ObjectSecurity Headquartered in San Diego, ObjectSecurity LLC specializes in automating and streamlining cybersecurity and supply chain risk management for national defense, critical infrastructure, and commercial sectors. With over two decades of innovation, ObjectSecurity's solutions empower organizations to proactively secure their software, data, and operations against evolving threats. End
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