Threat-Led Defense is built by moving from tactic (the objective) to technique (how an attacker could pursue that objective) to procedure (the reality of how techniques are actually executed in ...

Cybercriminals are increasingly evading companies’ traditional detection capabilities by weaponizing AI and trusted systems to get quicker and wider access inside businesses, according to a new report ...

IBM is hoping to advance the state of the art for artificial intelligence (AI) security with an open source project called the Adversarial Robustness Toolbox (ART). As AI usage is growing rapidly, ...

A new report has revealed that open-weight large language models (LLMs) have remained highly vulnerable to adaptive multi-turn adversarial attacks, even when single-turn defenses appear robust. The ...

With the rise of ransomware, phishing, zero-day exploits and other cyberthreats, organizations worldwide are confronting a cybersecurity crisis that ...

The cybersecurity arms race shows no signs of slowing. Attackers continue developing more sophisticated techniques, forcing defenders to evolve accordingly. Generative adversarial networks (GANs) ...

CrowdStrike’s latest annual Global Threat Report finds AI-driven attacks up 89%, zero-day exploitation surging, and ...

Enterprise security teams are losing ground to AI-enabled attacks — not because defenses are weak, but because the threat model has shifted. As AI agents move into production, attackers are exploiting ...

Cybersecurity has reached a critical turning point. For years, organizations have relied on vulnerability dashboards, patching, updates, and asset inventories believing that exposure management alone ...

Researchers have developed a new artificial intelligence approach that exposes critical weaknesses in multi-agent reinforcement learning systems, enabling stronger coordinated attacks with broad ...