In an era where software supply chain attacks have become a persistent threat, enterprises are under growing pressure to ...

As AI systems become increasingly complex, companies must continually refresh security components to ensure infrastructure ...

Allan Liska, widely known as the 'Ransomware Sommelier,' explains how AI, when integrated across the secure software ...

LangSmith is an observability and evaluation platform that allows users to develop, test, and monitor large language model ...

B-Preview, an open source AI coding model based on Deepseek-R1-Distilled-Qwen-14B. The model achieves a 60.6% pass rate on ...

According to Greg Brockman (@gdb), O3, an advanced AI model, has successfully discovered a security vulnerability in the Linux kernel using automated code analysis (source ... machine-learning-powered ...

A WordPress plugin that automatically posts content scraped from other websites has been discovered to contain a critical vulnerability ... which may make remote code execution possible.” ...

Value Delivered: ICS enables real-time threat detection, proactive mitigation, continuous compliance and adaptive learning powered by AI. Modern threat actors — including those using AI — are ... can ...

Research ranges from methods not using any machine learning to those dominated by large language models. One classic technique enumerates paths from source to sink ... of turns used and performance in ...

Extended detection and response tools provide a deeper and more automated ... from code-heavy rule sets to low-code workflows, or even actions implemented using third-party plugins available ...

Xygeni offers powerful features that help teams efficiently manage vulnerabilities and secure open-source software. 1. Learning ... detection, comprehensive dependency risk tracking, and automated ...

AI automates the detection ... learning algorithms and pattern recognition techniques. Automated vulnerability detection tools can quickly scan codebases, applications, and networks to identify ...