What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

The global maritime industry has long been the arterial system of the world economy, responsible for over 90% of global trade. For ...

Cybersecurity strategist Dima Shaposhnykov argues that organizations can no longer rely on conventional threat detection ...

The effort, dubbed “Mystic Depot ,” follows calls by Pentagon leadership to accelerate the adoption of AI across warfighting and administrative operations, DefenseScoop reported. Interested vendors ...

Although much is said about the roles of entry-level analysts, CISOs should also focus on governance, playbooks and more to ensure that the SOC and the team is ready for AI.

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

Zapier reports that AI security is crucial as AI usage grows, presenting risks like data breaches and adversarial attacks ...

Artificial intelligence is now embedded in many modern security platforms. Detection systems increasingly rely on behavioral models to analyze authentication events, network activity, and identity ...

Crypto exchanges such as Binance are rebuilding compliance around AI, catching bad actors by identifying risk patterns before they materialize.