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:

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:

<ul class="wp-block-list">
<li>How agents introduce risk across three distinct vectors: what they use, what they do, and what they generate</li>



<li>Real-world examples showing how autonomous execution creates risk that traditional tools can’t catch</li>



<li>How to operationalize Agentic Development Security and not slow innovation</li>
</ul>

<ul class="wp-block-list"><li>How agents introduce risk across three distinct vectors: what they use, what they do, and what they generate</li><li>Real-world examples showing how autonomous execution creates risk that traditional tools can’t catch</li><li>How to operationalize Agentic Development Security and not slow innovation</li></ul>

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

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