Cybersecurity teams are under pressure from every direction: faster attackers, expanding cloud environments, growing identity sprawl, and never-ending alert queues.

As AI floods the SOC, security teams are discovering that smarter data architecture may matter more than smarter algorithms.

Providing a view of cybersecurity leaders' responses to changes across the industry, including increased regulatory ...

The post Google Warns: AI Models Have Become the Industry’s Top Targets for Attackers appeared first on Android Headlines.

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.

AI is introducing new risks that existing evaluation and governance approaches were never designed to manage, creating a widening gap between what AI-backed security tools promise and what can be ...

Rising loss potential, AI-driven threats and legacy tech exposure are forcing insurers and buyers to rethink cyber limits, ...

Artificial intelligence (AI) is no longer an emerging technology. It is now a core component of how organizations operate, innovate, and defend against ...

The security systems of AI models are set up to thwart requests deemed malicious. Requests that can range from hacking into a ...

Image courtesy by QUE.com Cybersecurity teams are under pressure from every direction: faster attackers, expanding cloud ...