The age of AI-driven software development is here, and it's creating an entirely new attack surface. Traditional security tools are not equipped for a world of machine-generated code, LLMs, and autonomous AI agents.
Just as the methodology of DevSecOps evolved to manage the new risks of DevOps-oriented software practice, a new framework is needed to identify, prioritize, remediate and manage the new classes of vulnerabilities being introduced into AI-native applications.
Join Snyk, the AI security leader, as we…
-Review the novel risks posed by AI-native software, and why existing application security testing tools and processes are not up to the task.
-Explore the evolving roles and responsibilities - how software building no longer requires coding knowledge.
-Discuss ideal workflows for managing software risk in an agent-centric, machine-first SDLC.
-Define the pillars and practices of AITrustOps, the security readiness framework necessary to understand and mitigate AI-native software risk.