Data AnalysisVerified
Reviewed and published by trentmaziarz, July 11, 2026. Discovered and drafted by our automated research pipeline.
Dynatrace deployed Davis AI, an engine that automatically scans IT environments to detect performance anomalies and pinpoint their root cause — without a human having to manually dig through logs or alerts. When something goes wrong in a cloud application or infrastructure, the system identifies the precise source of the problem and notifies operations teams.
Details
Davis AI uses causal AI (a form of AI that traces cause-and-effect relationships) to automatically evaluate metrics, logs, traces, and topology data across an organization's IT stack. It ingests over 80 built-in system event types and correlates related anomalies into a single problem report, reducing alert overload. The root cause analysis engine traverses Dynatrace's Smartscape topology graph — a real-time map of how software components depend on each other — to produce deterministic, explainable problem diagnoses for operations teams.
Products affected
Davis AIDynatrace PlatformDynatrace Intelligence
Sources & Evidence
Company Disclosure
Other practices by Dynatrace
ProductivityDynatrace announced domain-specific AI agents in January 2026 that autonomously handle recurring operational tasks for site reliability engineers (SREs), developers, and security teams — such as investigating incidents, triaging vulnerabilities, and coordinating remediation across enterprise tools like ServiceNow, GitHub, and Jira.OtherDynatrace deployed Davis AI as part of its Application Security product to continuously scan running applications for software vulnerabilities in real time, automatically prioritize the most critical ones based on actual runtime exposure, and recommend remediation steps — reducing the volume of security alerts that security teams need to manually review.ProductivityDynatrace offers Davis AI predictive forecasting that analyzes historical resource usage data to predict when cloud infrastructure — such as disk space, CPU, or memory — is likely to run out, allowing teams to act before an outage occurs rather than reacting after the fact.
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