Why Binary Analysis Is Becoming the Standard for Third-Party Software Risk

Security teams have long relied on vendor-supplied metadata — manifests, SBOMs, attestations — to assess third-party software risk. But metadata describes what a vendor says they shipped, not what's actually running in production. As Gartner notes in the 2026 Gartner® Magic Quadrant™ for Software Supply Chain Security, binary analysis is a key differentiator for evaluating shipped software, and binary-first analysis and deep artifact forensics are emerging as important complements to manifest-level SCA. In this webinar, we'll make the case that security decisions should be grounded in the actual software artifact — not the paperwork that accompanies it.

We'll explain why binary-first analysis is a critical capability, how it compares to other approaches to third-party software risk, and why source code review alone can't catch what binaries reveal: tampering, build manipulation, and hidden components introduced after the code was written. We'll ground this in real-world attacks that were only detectable at the binary level, then close with a live demo analyzing commercial software entirely from its binary — no source code required.

What attendees will learn:

• Why binaries expose risks — tampering, build manipulation, hidden dependencies — that source code analysis and vendor manifests miss entirely
• How binary composition analysis compares to other third-party risk approaches, and where it closes gaps that manifest-based tools leave open
• How to apply binary analysis to independently verify commercial software before deployment, using real-world attack examples as a guide