The Next Evolution of Application Security: AI-Accelerated DevSecOps
2025.12.09-Snyk-LandingPage-1540x660

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Tuesday, December 9

11:00 am ET

 

Technology revolutions happen quickly and often before their security implications are fully understood. DevOps transformed software development but required a new security paradigm, DevSecOps, to keep pace with the velocity of code production. Most organizations have now achieved a mature DevSecOps practice, but technology never stands still. The next revolution in software development is here, driven by AI and machine-generated code as critical drivers of speed and efficiency.

This session, led by Clinton Herget, Field CTO at Snyk, explores why DevSecOps remains essential yet must evolve into AI-Accelerated DevSecOps to meet the demands of modern development. Attendees will learn how organizations are using AI to ensure security keeps pace with high-velocity practices such as “vibe coding,” while maintaining trust, accuracy, and collaboration across teams. Clinton will also outline how AI-powered tools enhance CI/CD pipelines, how to embed AI security into developer workflows, and the key steps needed to adopt a model that improves visibility and strengthens a security-first mindset.

Key Takeaways:

- Understand how AI-Accelerated DevSecOps transforms traditional security practices for the AI era

- Learn how to embed AI-powered security into developer workflows and CI/CD pipelines

- Discover how to balance speed, visibility, and trust while maintaining secure, collaborative development environments

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Clinton-modified

Clinton Herget

Field CTO - Snyk

TLDR: I spent about two decades building software for a living, and now I talk about building software for a living. The latter is *much* easier.

In my role as Field CTO at Snyk I talk 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.

I spent my previous lives 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. As an engineer I thrive in problem-solving, rapid prototyping, and communicating about technical complexity.

Always a passionate advocate for contemporary SDLC methodologies like microservices, behavior-driven development, jobs-to-be-done, and everything-as-code, regardless of how close my hands are to the literal and proverbial (and always mechanical) keyboard. But still can't resist a late night of playing with Docker, Kubernetes, Jenkins, Terraform, Bash and Python.