Securing Code at AI Scale
AI-native pen testing tools like Mythos and the next wave of open-source variants have flipped a 25-year-old security bottleneck on its head. The hard problem is no longer finding vulnerabilities — it is what to do with the flood of them, faster than humans can respond. Manoj Nair, Chief Technology Officer at Snyk, joins Alan Shimel on Techstrong TV to unpack what AI scale really means for security teams and how Snyk is rebuilding its platform to meet it. They cover continuous offensive security with frontier and open models, why contextual risk prioritization no longer applies when attackers chain low-severity issues, and how Snyk Agent Fix uses small language models and agentic coding skills to remediate vulnerabilities as code is written. Manoj also walks through Snyk Studio for securing code at inception, the company’s deepening partnership with Anthropic, and why pairing high-fidelity findings with Claude inside the developer workflow is the path out of vulnerability debt.
