In AI applications, machine learning (ML) models are the core decision-making engines that drive predictions, recommendations, and autonomous actions. Unlike traditional IT applications, which rely on ...

Stealthy attack targets emerging AI memory architecture built into new Qwen and DeepSeek models, highlighting the need to threat model open-weight models prior to deploymentTEL AVIV, Israel, Oct. 13, ...

Data drift happens when the statistical properties of a machine learning (ML) model's input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who ...

EU Chinese AI security testing by ENISA and the Joint Research Centre puts Chinese open-weight AI models under formal ...

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Enterprises are racing to embed large language models (LLMs) into critical workflows ranging from contract review to customer support. But most organizations remain wedded to perimeter-based security ...

The proficiency of frontier AI models at discovering software vulnerabilities and exploits is shaking up application security in what can only be described as a coming “major storm” for cybersecurity ...

Gemini 3.5 Flash Cyber integrates into CodeMender, allowing it to identify and patch vulnerabilities. Gemini 3.5 Flash Cyber integrates into CodeMender, allowing it to identify and patch ...

Traditionally, enterprise security operating models operated a fixed and regular cycle: Findings surfaced through periodic scans, security teams triaged results and remediation followed through ticket ...

Collaborator(s): Supriti Vijay, Aman Priyanshu, Didier Chapoteau, Arthur Goldblatt, Kimia Majd, Fraser Burch, Jianliang He, Baturay Saglam, Takahiro Matsumoto, Zhuoran Yang Today, Cisco is introducing ...

Linux has many security features and tools that have evolved over the years to address threats as they emerge and security gaps as they are discovered. Linux security is all, as Lennart Poettering ...