VentureBeat

Red team AI now to build safer, smarter models tomorrow

Editor's note: Louis will lead an editorial roundtable on this topic at VB Transform this month. Register today. AI models are under siege. With 77% of enterprises already hit by adversarial model ...
Tech Xplore on MSN

Stress-testing AI vision systems: Rethinking how adversarial images are generated

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Cyber Defense Magazine

The AI Arms Race Is Here: How Enterprises Must Weaponize Data and Autonomous Defense to Survive the Next Generation of Cyberattacks

Enterprise security faces a watershed as AI tools mature from passive analytics to autonomous operatives in both offense and defense. To date, traditional ...
VentureBeat

A developer’s guide to machine learning security

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and ...
AFCEA

Adversarial Machine Learning Poses a New Threat to National Security

Imagine the following scenarios: An explosive device, an enemy fighter jet and a group of rebels are misidentified as a cardboard box, an eagle or a sheep herd. A lethal autonomous weapons system ...
TMCnet

SCYTHE and Starseer Announce Strategic Partnership to Secure Enterprises Against AI-Driven and Agentic Workflow Attacks

SCYTHE, the leading provider of Adversarial Exposure Validation (AEV) and continuous security control testing, and Starseer, a pioneer in AI Runtime Assurance and Detection Engineering, today ...