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Datadog Expands Portfolio with New AI Agents and Tools

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At the DASH 2025 conference, Datadog unveiled various AI agents designed to automate essential tasks in IT management, including assessing infrastructure alerts, fixing code, and addressing cybersecurity issues via its SIEM platform. Notable new features include Proactive App Recommendations for telemetry analysis, an APM Investigator for diagnosing application bottlenecks, and enhanced observability tools for large language models (LLMs). Additionally, Datadog introduced an AI Agents Console for easier access to these agents and launched Datadog LLM Observability for monitoring AI model integrity. New offerings also include a Code Security service that uses AI to identify vulnerabilities and an internal developer portal synchronized with performance monitoring data. Datadog’s Michael Whetten emphasized that these advancements are intended to enhance, not replace, the roles of site reliability engineers. While AI adoption in DevOps is still nascent, surveys show a growing expectation for generative AI’s impact on software quality and deployment speed.

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