Enterprises expanding their operations often face the challenge of also ensuring seamless and secure connectivity in China, a critical market with unique regulatory and network challenges. Businesses entering this vast market often face three primary obstacles: These challenges can hinder productivity, stall digital transformation, and overwhelm IT teams. The question is clear: how can enterprises achieve secure, seamless, and compliant connectivity in this complex digital environment?

The high volumes of security data that cloud environments generate leave security teams swimming in data, but many feel like they need a life preserver to improve their incident response capabilities. Enter security data lakes. As the costs associated with data retention become overwhelming, organizations are embracing the idea of security data lakes and data warehouses.

With more businesses using AI models in their products or services, the inherent AI risks have made it challenging to maintain customer trust. However, according to The State of Trust Report for 2024, only 37% of organizations conduct (or are in the process of conducting) regular AI risk assessments.

While Exponential Organizations (ExOs) are transforming industries beyond the tech space, that doesn’t mean that they are not susceptible to an increasing number of cyber threats. As ExOs harness innovative and cutting-edge technologies to drive transformative growth, the ability to respond effectively and proactively to cyber incidents becomes increasingly vital.

Cyber threats are more sophisticated, pervasive, and frequent than ever before. As a result, traditional methods for network security are becoming obsolete. These solutions simply cannot handle the extraordinary scale and complexity of network traffic inherent in modern IT environments. AI-driven solutions, however, can.

Over the past year, there has been a culmination of hype and excitement around Generative AI (GenAI). Most organizations initiated proof-of-concept projects for GenAI, eager to reap the technology’s benefits, which range from improved operational efficiency to cost reductions. According to recent research, 88% of organizations are in the midst of actively investigating GenAI, transcending other AI applications.

Attributed to Michael Pride, Senior Sales Director – APAC, Protegrity In recent years, Australia’s healthcare sector has faced significant challenges regarding data privacy. With high-profile breaches exposing sensitive patient information, the responsibility for safeguarding this data has shifted from individuals to organisations.

Understanding the distinction between de-identification vs. anonymization is critical in today’s data-driven world. These processes are essential for safeguarding privacy while enabling the ethical use of data. Both techniques significantly meet regulatory standards such as GDPR anonymous data and HIPAA de-identified data requirements. However, their purposes and methods differ significantly.

Cyber risks are changing at a speed that has never been seen before. No matter what size or type of business it is, the threats it faces are always growing. Cybersecurity evaluation services are necessary to find vulnerable spots and build strong defenses against cyber threats. It is important for businesses to be proactive about security now that the cost of cybercrime is projected to reach $10.50 trillion per year by 2025.

In this article, we break down the 10 leaders in AI SAST tools. We explore the core features of each tool and the unique ways they implement AI to enhance security discovery, prioritization and remediation.