Adversarial attacks on machine learning (ML) models are growing in intensity, frequency and sophistication with more enterprises admitting they have experienced an AI-related security incident. AI's ...

Cisco researchers show how leading AI models wither under realistic multi-turn attacks, calling into question the value of ...

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 ...

Researchers say the technique can manipulate how vision-language models interpret both images and user prompts.

Research shows sounds unheard by human ears can hijack models’ behavior ...

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 ...

The Splunk Threat Research Team is releasing v4.0 of Splunk Attack Range, an open source project that allows security teams to spin up a detection development environment to emulate adversary behavior ...

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 ...

As digital transformation has redefined the way businesses deploy information infrastructure and assets, so too are security leaders forced to rethink the way we protect them. Historically, security ...