Masking large volumes of data isn’t just a bigger version of small-scale masking—it’s exponentially more complex. High-volume data masking introduces unique engineering challenges that demand careful balancing of performance, integration, accuracy, and infrastructure costs. In this blog, we’ll dive into the critical factors you must consider when choosing the right tool for large-scale data masking, helping you confidently navigate these complexities.

AI-powered solutions are becoming increasingly prevalent in enterprise environments, leading to a new trend in procurement: the need for comprehensive AI governance frameworks. This shift reflects a growing awareness of AI-specific risks and the need for more granular controls. As the founder of Nightfall AI, a startup building AI models for data security, I've navigated hundreds of procurement cycles and observed a rise in AI-specific requirements.

As more companies adopt Software-as-a-Service (SaaS) apps, keeping these cloud-based systems secure has become crucial. While SaaS offers convenience, scalability, and flexibility, it also introduces significant security risks. Organizations must actively monitor and control the security of their SaaS environments. SaaS Security Posture Management / SSPM is becoming an essential tool for this task.

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.

In today’s cyber landscape, threat actors are becoming increasingly sophisticated, often leveraging free tools and cloud services to launch targeted attacks. One such group, known as SloppyLemming, is making waves by using platforms like Cloudflare Workers to engage in espionage against government and law enforcement agencies in the Indian subcontinent. This blog delves into their methods, targets, and how organizations can bolster their defenses against such threats.