Artificial intelligence is transforming how software gets built: faster, more collaboratively, and with unprecedented scale and adoption. But managing supply chain risk is also transforming: with these gains come new classes of risk that traditional security approaches weren’t built to address.
In this fireside chat with Endor Labs and Rubrik, we unpack learnings from our recent AI Summit, and discuss:
- The positive tune to which security teams are embracing AI changes
- Why resilience must be engineered, not assumed, and how various teams are taking different approaches and finding success
- Why AI transformation requires navigating both technological complexity and sociological change
- How security leaders can close the gap between innovation velocity and meaningful protection (without having to continually say “no”)
- How AI guardrails should balance security with progress by leveraging context to guide how controls are implemented
