Hi all,
You’ve been sleeping under a rock if you haven’t heard about the frontier AI models “hacking” their way out of sandboxes and finding vulnerabilities to break into production systems. But how many of you are trying to reverse that playbook and use AI for defensive security to autonomously find and fix vulnerabilities in your codebase before the bad guys do?
I am moderating a discussion called "CodeMender: AI Code Security Agent." We'll get straight into practical approaches to how to secure your codebase at machine-speed.
We'll cover:
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Deep Vulnerability Scanning: Go beyond static scanning and use multiple AI models to deeply scan your codebase to uncover zero-day and n-day vulnerabilities.
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Exploit Simulation & Verification: Methods for running automated exploit simulations to verify which vulnerabilities are actually exploitable, drastically reducing false positives.
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Automated Code Remediation: How to drastically shrink the remediation bottleneck with automated code fix testing and patching using AI.
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Developer-in-the-Loop: Best practices for integrating autonomous patching seamlessly into developer workflows and CI/CD pipelines.
I’m keen to share what we're learning and hear your thoughts.
Session Details:
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When: September 30, 2026, multiple regional times zones available
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Registration/Replay: Register Here
What are the biggest challenges you're currently facing when it comes to managing code vulnerability backlogs? Hope to see you there.
Cheers,
Doug
