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    <title>topic Databricks Announces Lakewatch: New Open, Agentic SIEM in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/databricks-announces-lakewatch-new-open-agentic-siem/m-p/152323#M684</link>
    <description>&lt;P data-end="388" data-start="163"&gt;Earlier this week, Databricks announced &lt;STRONG data-end="216" data-start="203"&gt;Lakewatch&lt;/STRONG&gt;, a new open, agentic SIEM designed to help organizations defend against increasingly sophisticated, AI-driven attacks. Lakewatch is currently available in Private Preview.&lt;/P&gt;
&lt;P data-end="676" data-start="390"&gt;Lakewatch unifies security, IT, and business data into a single, governed environment for AI detection and response. Built on open formats, it enables customers to ingest, retain, and analyze unprecedented volumes of multi-modal data while reducing costs and eliminating vendor lock-in.&lt;/P&gt;
&lt;P data-end="701" data-start="678"&gt;Here’s what stands out:&lt;/P&gt;
&lt;UL data-end="1204" data-start="702"&gt;
&lt;LI data-end="781" data-start="702" data-section-id="4jiq31"&gt;Unifies security, IT, and business data into a single, governed environment&lt;/LI&gt;
&lt;LI data-end="876" data-start="782" data-section-id="11riek3"&gt;Enables customers to ingest, retain, and analyze unprecedented volumes of multi-modal data&lt;/LI&gt;
&lt;LI data-end="979" data-start="877" data-section-id="t5b0q"&gt;Built on the Open Cybersecurity Schema Framework (OCSF) and supports Delta Lake and Apache Iceberg&lt;/LI&gt;
&lt;LI data-end="1087" data-start="980" data-section-id="1iwqah3"&gt;Provides fine-grained access control at table, row, column, and attribute levels with full auditability&lt;/LI&gt;
&lt;LI data-end="1204" data-start="1088" data-section-id="j879t6"&gt;Decouples storage from compute, allowing customers to store data and only pay for compute when running analytics&lt;/LI&gt;
&lt;/UL&gt;
&lt;P data-end="1389" data-start="1206"&gt;Lakewatch also introduces agentic capabilities through Genie and Genie Spaces, helping automate tasks such as log ingestion, detection creation, rule tuning, and threat investigation.&lt;/P&gt;
&lt;P data-end="1600" data-start="1391"&gt;By bringing the lakehouse architecture to security operations, Lakewatch enables teams to analyze security data alongside business data, retain full-fidelity telemetry, and respond to threats more effectively.&lt;/P&gt;
&lt;DIV style="text-align: center; margin-top: 20px;"&gt;&lt;A style="background-color: #ff3620; color: #ffffff; padding: 12px 24px; text-decoration: none; border-radius: 25px; font-size: 14px; display: inline-block;" href="https://www.databricks.com/blog/databricks-announces-lakewatch-new-open-agentic-siem?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank"&gt; Read Full Announcement &lt;/A&gt;&lt;/DIV&gt;</description>
    <pubDate>Fri, 27 Mar 2026 15:30:35 GMT</pubDate>
    <dc:creator>Rishabh_Tiwari</dc:creator>
    <dc:date>2026-03-27T15:30:35Z</dc:date>
    <item>
      <title>Databricks Announces Lakewatch: New Open, Agentic SIEM</title>
      <link>https://community.databricks.com/t5/announcements/databricks-announces-lakewatch-new-open-agentic-siem/m-p/152323#M684</link>
      <description>&lt;P data-end="388" data-start="163"&gt;Earlier this week, Databricks announced &lt;STRONG data-end="216" data-start="203"&gt;Lakewatch&lt;/STRONG&gt;, a new open, agentic SIEM designed to help organizations defend against increasingly sophisticated, AI-driven attacks. Lakewatch is currently available in Private Preview.&lt;/P&gt;
&lt;P data-end="676" data-start="390"&gt;Lakewatch unifies security, IT, and business data into a single, governed environment for AI detection and response. Built on open formats, it enables customers to ingest, retain, and analyze unprecedented volumes of multi-modal data while reducing costs and eliminating vendor lock-in.&lt;/P&gt;
&lt;P data-end="701" data-start="678"&gt;Here’s what stands out:&lt;/P&gt;
&lt;UL data-end="1204" data-start="702"&gt;
&lt;LI data-end="781" data-start="702" data-section-id="4jiq31"&gt;Unifies security, IT, and business data into a single, governed environment&lt;/LI&gt;
&lt;LI data-end="876" data-start="782" data-section-id="11riek3"&gt;Enables customers to ingest, retain, and analyze unprecedented volumes of multi-modal data&lt;/LI&gt;
&lt;LI data-end="979" data-start="877" data-section-id="t5b0q"&gt;Built on the Open Cybersecurity Schema Framework (OCSF) and supports Delta Lake and Apache Iceberg&lt;/LI&gt;
&lt;LI data-end="1087" data-start="980" data-section-id="1iwqah3"&gt;Provides fine-grained access control at table, row, column, and attribute levels with full auditability&lt;/LI&gt;
&lt;LI data-end="1204" data-start="1088" data-section-id="j879t6"&gt;Decouples storage from compute, allowing customers to store data and only pay for compute when running analytics&lt;/LI&gt;
&lt;/UL&gt;
&lt;P data-end="1389" data-start="1206"&gt;Lakewatch also introduces agentic capabilities through Genie and Genie Spaces, helping automate tasks such as log ingestion, detection creation, rule tuning, and threat investigation.&lt;/P&gt;
&lt;P data-end="1600" data-start="1391"&gt;By bringing the lakehouse architecture to security operations, Lakewatch enables teams to analyze security data alongside business data, retain full-fidelity telemetry, and respond to threats more effectively.&lt;/P&gt;
&lt;DIV style="text-align: center; margin-top: 20px;"&gt;&lt;A style="background-color: #ff3620; color: #ffffff; padding: 12px 24px; text-decoration: none; border-radius: 25px; font-size: 14px; display: inline-block;" href="https://www.databricks.com/blog/databricks-announces-lakewatch-new-open-agentic-siem?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank"&gt; Read Full Announcement &lt;/A&gt;&lt;/DIV&gt;</description>
      <pubDate>Fri, 27 Mar 2026 15:30:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/databricks-announces-lakewatch-new-open-agentic-siem/m-p/152323#M684</guid>
      <dc:creator>Rishabh_Tiwari</dc:creator>
      <dc:date>2026-03-27T15:30:35Z</dc:date>
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