At the DASH 2025 conference, Datadog unveiled several AI-driven tools designed to streamline tasks traditionally performed by site reliability engineers, including alert assessments, code fixes, and cybersecurity triage. The introduction of Proactive App Recommendations and APM Investigator aims to optimize application performance by analyzing telemetry data. Additionally, Datadog announced its LLM observability tools to monitor AI model behaviors and ensure compliance. The company also introduced services for code security and cloud security, reinforcing its dedication to protecting both proprietary and open-source code while meeting data sovereignty requirements in regulated sectors.
Datadog introduces multiple AI agents at DASH 2025 to automate infrastructure alerts, code fixes, and cybersecurity triage, enhancing operational efficiency.
New tools including Proactive App Recommendations and APM Investigator are aimed at improving application performance and suggesting optimal next actions using telemetry data.
Datadog LLM Observability ensures the integrity of AI models by monitoring for toxicity and harmful behaviors, while enabling compliance with security standards.
The launch of Datadog Cloud Security and Code Security services underlines the company's commitment to safeguarding custom and open-source code.
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