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Event
Tue, Oct 7, 3:00 PM - 7:00 PM (UTC)

[O’Reilly] Security Superstream: Secure Code in the Age of AI

About this event

AI tools are transforming the ways that we write and deploy code, making development faster and more efficient, but they also introduce new risks and vulnerabilities. To protect organizations, security must remain a paramount concern across the entire AI ecosystem.

Join top security professionals, software engineers, developers, data scientists, and AI specialists as they share practical insights, real-world experiences, and emerging trends to address the full spectrum of AI security. Whether you’re focused on secure coding practices, building and deploying secure models, or protecting against AI-specific threats, this event offers valuable perspectives on ensuring that your systems remain secure in an increasingly AI-driven world.

 

Resolving Incidents at the Speed of Agents – Ralph Bird (35 minutes)

It’s 3 o’clock in the morning and PagerDuty has woken you up, again. Half asleep, you open up your IDE and ask your coding assistant what’s going on. It gets straight to work, pulling the incident data from PagerDuty, grabbing the latest metrics and logs, and identifying possible causes. Your assistant goes back to PagerDuty to find similar incidents and pull up incident reviews. It proposes a code change before running your test suite and opening a PR with the fix. The incident is over, and you’re heading back to bed. Ralph Bird, staff machine learning engineer at PagerDuty, shows how incident response is being revolutionized by AI agents and MCPs. You’ll see a real-world demo of an agent gathering intel, diagnosing issues, and taking action, all within your IDE. But with the move from demo to production, new challenges emerge, especially around security, reliability, and trust. Ralph shares practical insights into these hurdles and the robust safeguards being built to ensure these solutions solve problems without creating bigger ones.

Event details
Online event
Tue, Oct 7, 3:00 PM - 7:00 PM (UTC)