The advent and adoption of AI, ML, automation, advanced analytics, and other related technologies has resulted in an exponential growth of data across the globe over the last couple of decades. It is estimated that 90% of the world's data was generated in the last two years alone.
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Traditional Vulnerability Management solutions can no longer protect enterprises from the sophisticated attacks that are occurring every day against organizations of every size. Attackers are using a variety of tactics to expose and exploit assets and the myriad security gaps that exist within each organization. Modern Continuous Threat Exposure Management (CTEM) is the answer to these emerging challenges. It is an improved and holistic approach to defending against attackers and their tactics.
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Industry is abuzz with initiatives and activity around Generative AI, Large Language Models and related technologies. Success stories and interesting use cases for applying these technologies abound.
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There has been an increased focus on Data Governance over the past few years, given the unparalleled demand for quality and timely data, be it to enable predictive/prescriptive analytics or to support advanced data science or machine learning initiatives.
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