Which security practice defends against AI-driven cyber threats?
The answers split between prioritizing foundational controls—like governance, segmentation, and patching—and emphasizing specific technical measures such as security at source or phishing-resistant authentication.
5 answers
Answers


Vipin Samar
Senior Vice President, Database Security · Oracle
Security at Source
Vipin Samar argues the ultimate defense is security at source—putting security where the data belongs so the database authorizes access—because agentic AI lacks discipline and will bypass outside controls.
It's About Data · It's About Data · Listen at 13:11

Jacob Thomas
Manager of Information Security · Texas Children'S Hospital
Good Governance Model
Jacob Thomas says a good governance model is behind everything, with mitigating and compensating controls that, if planned correctly, can reduce the attack surface; he says this isn't unique to AI.
SiliconANGLE theCUBE · Watch on YouTube
James J Azar
Chief Information Security Officer · Artera Services
Strict Network Segmentation
James J Azar says strict network segmentation, along with controlling outbound communications and limiting privileges, should become a standard architectural requirement rather than an optional safeguard, since attackers now target trusted platforms that give leverage over thousands of downstream systems.
CISO Talk by James Azar · CISO Talk by James Azar · Read
Jeff Crume, PhD, CISSP
Distinguished Engineer, Data and AI Security Technical Sales · Ibm
Passkeys
Jeff Crume, PhD, CISSP, argues passkeys are the practice that matters most, because phishing is the number one cause of data breaches and a well-done passkey implementation is essentially phishing resistant.
IBM Technology · Watch on YouTube

Joshua Aaron
CEO · Aiden Technologies, Inc.
Rapid Patching
Joshua Aaron says his team focuses on getting updates out faster, since they can't fix vendor source code.
ILTA Voices · ILTA Voices · Listen at 14:47
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