How are organizations adapting cybersecurity to AI-driven threats?
All answers highlight heightened caution and new defenses—like automation, behavior monitoring, and increased spending—as organizations adapt to AI-driven threats and protect sensitive data.
5 answers
Answers


Torben Oeder
Global Chief Risk Officer and Internal Controls · Volkswagen Group
Leveraging AI Cautiously
Torben Oeder says his organization is cautious about using AI because it handles confidential information on agreements and global trade disputes, and needs assurance AI won't compromise data security.
World Economic Forum · Watch on YouTube
James J Azar
Chief Information Security Officer · Artera Services
Adding Defensive Automation
James J Azar argues organizations need to add defensive automation, such as for token revocation and containment, because AI speeds attacks and makes hour-based detection inadequate.
CISO Talk by James Azar · CISO Talk by James Azar · Read

Mandy Andress
CISO · Elastic
Behavior Baseline Monitoring
Mandy Andress says a stronger approach today is behavior baseline monitoring combined with deception, because detection rules rely on anticipating what will happen, which she says we can't do today.
The answer starts at 28:27.
The Control Layer with Amer Altaf · Listen on Apple Podcasts

Ronan Murphy
Chief Data Strategy Officer · Forcepoint
Protecting Intelligence
Ronan Murphy says organizations are now protecting intelligence—their data, alpha, and proprietary content—as the new cybersecurity perimeter because AI tools rely on that data, raising boardroom concerns about sharing crown jewels.
Security Weekly - A CRA Resource · Watch on YouTube
Jeff Crume, PhD, CISSP
Distinguished Engineer, Data and AI Security Technical Sales · Ibm
Increasing Security Spending
Jeff Crume says 85% of organizations report they will increase security spending in response to frontier AI models, which he calls refreshing and a sign they are waking up.
IBM Technology · Watch on YouTube