LLMs change the security model by blurring boundaries and introducing new risks. Here's why zero-trust AI is emerging as the ...

AI security risks are shifting from models to workflows after malicious extensions stole chat data from 900,000 users & ...

Malicious models are increasingly showing up on Hugging Face and other artificial intelligence (AI) model repositories. Cybersecurity companies are developing defensive tools to help organizations and ...

As AI becomes embedded in everyday development workflows, the security model for applications is shifting fast — and not always in ways teams are prepared ...

As organizations continue to adopt AI tools, security teams are often caught unprepared for the emerging challenges. The disconnect between engineering teams rapidly deploying AI solutions and ...

Cisco highlights four priority focus areas organizations should consider to secure AI applications as they scale adoption.

In an era where software evolves at lightning speed, security must adapt in real-time to counter threats that emerge in minutes. The modern software economy thrives on speed. With development teams ...

OpenAI has drawn a rare bright line around its own technology, warning that the next wave of its artificial intelligence systems is likely to create a “high” cybersecurity risk even as it races to ...

If you think SAST and SCA are enough, you’re already behind. The future of app security is posture, provenance and proof, not ...

Application security often gets sacrificed for speed and to meet ever-tightening time-to-market windows for new apps needed to fuel new revenue growth. Increasing the urgency to get apps out early are ...