What AI Agents Use, Do, and Generate: How to Secure the New Software Development Lifecycle

AI agents are no longer just assisting developers. They are autonomously building software at machine speed, often before security controls see a single line of code. This whitepaper examines why traditional AppSec was never built for the Agentic Development Lifecycle, and what a practical model for securing agent-driven development looks like from the ground up.

Key takeaways:

• How agents introduce risk across three distinct vectors: what they use, what they do, and what they generate

• Real-world examples showing how autonomous execution creates risk that traditional tools can’t catch

• How to operationalize Agentic Development Security and not slow innovation