<p>Databricks launched Data Intelligence for Cybersecurity, a set of features and integrations aimed at enabling customers to thwart data security threats with greater accuracy.</p>
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<p>As many enterprises <a href=”https://www.techtarget.com/searchenterpriseai/tip/A-technical-guide-to-agentic-AI-workflows”>turn certain repetitive processes over to AI</a> and expand their employees’ access to data through AI tools such as chatbots and agents, their risk of <a href=”https://www.techtarget.com/searchsecurity/news/366628186/News-brief-Rise-of-AI-exploits-and-the-cost-of-shadow-AI”>exposure to cyberattacks increases</a> if they don’t have sufficient data and AI governance frameworks. Meanwhile, with AI enabling more frequent and sophisticated cyberattacks, data security is further compromised.</p>
<p>Data Intelligence for Cybersecurity, made generally available Sept. 30, uses AI to combat increasing data security risks due to AI, enabling Databricks customers to build agents in <a href=”https://www.techtarget.com/searchbusinessanalytics/news/366625695/Latest-Databricks-tools-use-AI-to-simplify-AI-development”>its Agent Bricks development environment</a> designed to dispel cybersecurity threats. In addition, it includes real-time, AI-powered dashboards that provide insights into potential threats and lets users unify their security data to provide a single view of their organization’s data landscape.</p>
<p>Given that the new features add security measures, they represent a significant addition for Databricks customers, according to David Menninger, an analyst at ISG Software Research.</p>
<p>”Cybersecurity involves massive data sets,” he said. “Aggregating all the telemetry data across an enterprise’s entire IT estate is a challenge. It can be expensive, plus it introduces additional latency into the threat detection and resolution process. Databricks Data Intelligence seeks to address those issues by leveraging the Databricks platform to unify cybersecurity data.”</p>
<p>Based in San Francisco, Databricks is one of the pioneers of the data lakehouse. In recent years, like fellow da
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