The field of adversarial attacks in natural language processing (NLP) concerns the deliberate introduction of subtle perturbations into textual inputs with the aim of misleading deep learning models, ...

Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move ...

In a new proof-of-concept, endpoint security provider Morphisec showed that the Exploit Prediction Scoring System (EPSS), one of the most widely used frameworks for assessing vulnerability exploits, ...

Red teaming is a powerful way to uncover critical security gaps by simulating real-world adversary behaviors. However, in practice, traditional red team engagements are hard to scale. Usually relying ...

Cyber-incident attribution gets a lot of attention, for good reasons. Identifying the actor(s) behind an attack enables taking legal or political action against the adversary and helps cybersecurity ...

Lily is a Senior Editor at BizTech Magazine. She follows tech trends, thought leadership and data analytics. Todd Felker, executive healthcare strategist at CrowdStrike, said the rise of social ...