AI is making attackers faster and cheaper: finding and chaining vulnerabilities, tailoring malware, and living off the land with tools already on your systems. Patching faster won't keep up. This session shows how to build real resilience with capabilities you likely already own: limit lateral movement with segmentation and identity isolation, see what attackers are doing with audit logging that stays out of their reach, and de-risk change with snapshots, staged rollouts, and tested recovery. These are the defenses the security community keeps converging on, and they turn a breach into a contained problem instead of a company-wide one. Come learn how to architect for the automated attacker that's coming for you.
Key Takeaways:
- AI changes the economics of attacks, not the fundamentals of defense. Attackers now find vulnerabilities, chain them, and tailor malware faster and cheaper than ever, but the defenses that hold up are the ones you already know. Patching faster won't keep pace; architectural resilience will.
- Design so a single compromise stays small. Segmentation, least privilege, and identity isolation keep one foothold from becoming a company-wide incident. The goal is shrinking blast radius and dwell time, not hoping the perimeter holds.
- De-risking change is a security control. Snapshots, staged rollouts, and tested recovery make patching routine instead of disruptive, and the same investments pay off against ransomware, failed upgrades, and human error. Resilience you can practice beats a plan you've never run.
