AI & Security: The Good, The Bad, and The Hallucinatory
How AI can help and hurt secure software development
AI is advancing at a stunning rate, with new tools and use cases being discovered each week. Recent developments in LLM-based engines have turned skeptics into believers as AI’s abilities and outputs are tangible and can even seem magical. As with all technology, AI raises both opportunities and challenges for security and development teams looking to boost productivity while managing risk.
In this talk, Clinton Herget, Field CTO at Snyk, will highlight some of the potential and some of the potential pitfalls AI can bring to secure development, and provide guidance on how security teams can think about both within the context of their programs. It's not just about deploying AI for the sake of it; instead, we're dedicated to the strategic use of AI that meaningfully enhances our product offerings and empowers our users to secure their software effectively.
Cliton Herget, Field CTO, Snyk
Sponsored by Snyk
Cliton Herget, Field CTO, Snyk
As Field CTO at Snyk, Clinton talks to cybersecurity leaders, practitioners, and developers about the evolution of application security and the critical role we play as software builders in understanding, mitigating, and remediating the organizational risk inherent to what we build.
Prior to Snyk, he spent time as a web developer, DevOps engineer, cloud solutions architect, engineering team manager, technical director and consultant with two decades of experience building and supporting complex cloud-based web and mobile applications. An engineer first, he thrives in problem-solving, rapid prototyping, and communicating about technical complexity.