Locknote: Conclusions and Key Takeaways
summary
Review board members describe spending dozens of hours (one estimates ~30) vetting submissions and note 14 talks from Microsoft and Google and a joint BMW–Tencent remediation that proves vendor collaboration can work. Hardware research and academic papers increase noticeably; machine learning submissions are common but often under‑tested, while adversarial‑ML shows promise. Cloud adoption shifts threat models to providers, embedding pen testers in dev sprints yields faster fixes, and adoption of security.txt remains tiny (<1%).
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chapters (14)
- 0:00Introduction
- 3:33New kid on the block
- 5:23Submission process
- 9:22Vendors
- 10:48Transparency
- 12:36Security
- 17:41Offensive Security
- 20:30Threat Intelligence
- 23:12Edge Cases
- 28:28Vendor Transparency
- 31:17Hope
- 37:32Complexity
- 40:27Security by Design
- 45:04Cultural Differences
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