Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As in many companies around the world, Bitsight leadership believes that adoption and innovation through the use of artificial intelligence (AI) capabilities is crucial to the future of our company. From the top down, our employees are continually on the hunt for ways to leverage AI to improve business outcomes and customer productivity.

APIs are crucial in our digital world, but they also introduce new vulnerabilities. Attackers often exploit these vulnerabilities by concealing malicious payloads within encrypted traffic, rendering them undetectable to traditional security tools. As we observe Cybersecurity Awareness Month, it's important to emphasize the significance of advanced solutions that can detect hidden threats.

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.

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.

For the past few years, the CRM market has witnessed steady growth and it is projected to reach $89 billion by 2024. Estimates are that this growth will continue into the foreseeable future. Essentially, CRM systems have come to stay and have become the backbone of many organizations. However, the bleak state of cybersecurity cuts across many industries, and CRM systems are equally vulnerable.

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.

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.