Votal AI Launches RLHF-Trained Adversarial Attacker Model and Open-Source Attack Catalog for Agentic AI Security Ahead of RSA Conference 2026

These launches come just days before RSA Conference 2026 (March 23--26, Moscone Center, San Francisco) the world's largest and most influential cybersecurity event, where Votal AI will showcase live ...
Tech Times

Fixing Grok 4.1 Bias: Proven Strategies to Combat AI Discrimination Effectively

Fixing Grok 4.1 bias requires proven strategies to combat AI discrimination, ensuring fairness, transparency, and accountability in AI systems.
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 ...
Seeking Alpha

WiMi Studies Quantum Generative Adversarial Network Model and Hybrid Classification Model

BEIJING, Nov. 14, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are ...
Security Boulevard

Automated Threat Detection for Quantum-Enabled Adversarial Attacks on AI Context

Learn how to protect Model Context Protocol (MCP) from quantum-enabled adversarial attacks using automated threat detection ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
Redmond Pie

SOC Maturity Model Using CrowdStrike Platform

Security operations rarely fail because of a lack of tools. They fail because the operating model never kept pace with the ...
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 ...