Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Microsoft Purview is a data governance and compliance solutions platform that helps organizations manage data security, classification, and regulatory compliance. It provides enterprises with tools to discover, classify, and protect sensitive information across hybrid cloud and on-premise environments. Microsoft Purview leverages automation and AI to streamline data governance processes, minimizing manual effort while improving AI accuracy.

Large Language Models (LLMs) have become central to many AI-driven applications. These models, such as OpenAI’s GPT and Google’s Bard, process massive amounts of data to generate human-like responses. Their ability to handle natural language has revolutionized industries from customer service to healthcare. However, as their use expands, so do concerns about LLM security. LLM security is critical because these models handle sensitive data, making them tempting targets for cybercriminals.

Eric Brüggemann, the new CEO of Code Intelligence, stepped into the role in September. We asked him about his vision of the role and future of AI and fuzz testing in securing automotive software.

The advent and widespread acceptance of Large Language Models (LLMs), such as Microsoft Copilot, by organizations and even average consumers has created another surface threat area that cybersecurity teams must come to understand. To help with this process, Trustwave SpiderLabs conducted a Red Team exercise against a licensed version of Microsoft Copilot.

By James Rees, MD, Razorthorn Security In the rapidly evolving world of cybersecurity, artificial intelligence (AI) and large language models (LLMs), have become buzzwords that seem to promise revolutionary solutions. However, as with any emerging technology, it’s crucial to separate hype from reality.