VentureBeat October 31, 2024
Taryn Plumb

While many existing risks and controls can apply to generative AI, the groundbreaking technology has many nuances that require new tactics, as well.

Models are susceptible to hallucinations, or the production of inaccurate content. Other risks include the leaking of sensitive data via a model’s output, tainting of models that can allow for prompt manipulation and biases as a consequence of poor training data selection or insufficiently well-controlled fine-tuning and training.

Ultimately, conventional cyber detection and response needs to be expanded to monitor for AI abuses — and AI should conversely be used for defensive advantage, said Phil Venables, CISO of Google Cloud.

“The secure, safe and trusted use of AI encompasses a set of techniques that many...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Cloud, Cybersecurity, Technology
Notorious Ransomware Gang Warns New Attacks Incoming On Feb. 3, 2025
How Generative AI Is Powering A New Era Of Cybersecurity
7 of the biggest healthcare cyberattack and breach stories of 2024
‘Orgs need to be ready’: AI risks and rewards for cybersecurity in 2025
Healthcare cybersecurity in 2025: 3 things to know

Share This Article