Dynatrace Davis AI
Level 11: IT Operations, Networking & IT Service Management
Engineering & Operations · Level 11
In short
Dynatrace Davis AI is an AI tool in the IT Operations & ITSM category from Dynatrace, Inc. in Waltham, United States. The pricing model is paid. It is with an English interface that handles German content.
What is Dynatrace Davis AI?
Dynatrace Davis AI is the core artificial intelligence engine built into the Dynatrace observability and security platform. It uniquely combines three types of AI: Causal AI for deterministic root-cause analysis, Predictive AI to forecast system anomalies, and Generative AI (Davis CoPilot) for natural language interactions. This hybrid approach enables enterprise IT teams to monitor, analyze, and resolve issues across complex multi-cloud environments in real time.
Unlike standard probabilistic models, Davis Causal AI relies on continuous dynamic topology mapping (Smartscape) and unifies logs, metrics, and traces within the Grail data lakehouse. This allows the system to pinpoint precise cause-and-effect relationships during outages or security vulnerabilities without hallucinating. Davis CoPilot complements this capability by letting operators query complex systems in plain text, auto-generate Dynatrace Query Language (DQL) scripts, and build remediation workflows.
Engineered for enterprise-grade AIOps, Davis AI helps organizations automate incident management and drastically reduce Mean Time to Resolution (MTTR). By linking system performance metrics directly with business analytics, it ensures high reliability and operational security across modern digital services.
Core features & strengths
- Deterministic Causal AI — Davis continuously maps dynamic dependencies across microservices and cloud infrastructure. During incidents, it pinpoints the precise root cause instantly rather than presenting raw metrics or probabilistic correlations.
- Davis CoPilot (Generative AI) — This embedded assistant allows teams to interact with observability data using natural language prompts. It automatically generates Dynatrace Query Language (DQL) queries, code snippets, and remediation workflow suggestions.
- Predictive Analytics & Risk Assessment — By evaluating historical baseline patterns, Davis forecasts capacity bottlenecks and performance degradations before they impact users. Additionally, it contextualizes runtime security vulnerabilities to prioritize critical threats based on actual operational risk.
Who is this tool for?
Targeted at enterprise IT organizations, Site Reliability Engineers (SREs), DevOps teams, and security specialists managing multi-cloud or hybrid environments. It is designed for companies seeking hyper-automated AIOps to reduce downtime and streamline operations.
Typical use case
A major online retailer experiences a sudden latency spike during a high-traffic promotional campaign. Instead of convening a war room to manually inspect logs across dozens of services, Davis AI evaluates the entire system context within seconds. The Causal AI isolates a misconfigured third-party API call inside a specific checkout service as the single root cause. Using Davis CoPilot, the operations engineer queries the exact number of impacted user sessions and triggers an automated traffic-rerouting workflow, fully resolving the issue in minutes.
What is Dynatrace Davis AI good for?
- Targeted at enterprise IT organizations, Site Reliability Engineers (SREs), DevOps teams, and security specialists managing multi-cloud or hybrid environments. It is designed for companies seeking hyper-automated AIOps to reduce downtime and streamline operations.
- A major online retailer experiences a sudden latency spike during a high-traffic promotional campaign.
- Deterministic Causal AI: Davis continuously maps dynamic dependencies across microservices and cloud infrastructure. During incidents, it pinpoints the precise root cause instantly rather than presenting raw metrics or probabilistic correlations.
- Davis CoPilot (Generative AI): This embedded assistant allows teams to interact with observability data using natural language prompts. It automatically generates Dynatrace Query Language (DQL) queries, code snippets, and remediation workflow suggestions.
- Predictive Analytics & Risk Assessment: By evaluating historical baseline patterns, Davis forecasts capacity bottlenecks and performance degradations before they impact users. Additionally, it contextualizes runtime security vulnerabilities to prioritize critical threats based on actual operational risk.
When a different tool fits better
Dynatrace Davis AI is not a standalone LLM or generic chatbot for isolated text tasks; it operates strictly inside the Dynatrace ecosystem. It is unsuited for small-scale applications, basic monolithic websites, or teams that do not require enterprise-grade observability infrastructure.
Pricing & plans
Plans in detail
- Dynatrace Platformupon requestupon requestconsumption-based
- Full observability suite including Davis AI
- Scalable billing based on consumed DDUs
Good to know
- Free 15-day trial available.
- Pricing depends on individual usage and selected modules.
- No classic 'Freemium' model available.
Prices checked on 15/08/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.
Privacy & GDPR
Data flow: Monitoring, telemetry, and potentially end-user data is sent to Dynatrace in the selected SaaS region or remains in the customer's environment for a self-managed deployment; jurisdiction and storage location depend on the contract, region, and deployment model.
Training on your inputs: Dynatrace presents Davis AI primarily as contextual causal analysis of customer telemetry; use of customer data to train generative models and any general opt-out cannot be reliably confirmed from the supplied information and should be clarified contractually.
For companies: Organizations should execute the Dynatrace agreement and DPA, select an appropriate data region, review subprocessors, and configure suitable security and retention controls.
Practical advice: Send only necessary telemetry and sanitized logs, and do not submit passwords, API keys, sensitive personal data, or unnecessary content captured through session replay.
- DPA:
- Data Processing Agreement: contractually binds the provider to process your data only on your instructions. Usually mandatory for companies.
- SOC 2:
- Independently audited security report (access control, availability, confidentiality) — not a privacy seal, but a sign of professional IT security.
- Opt-out:
- Training on your data is on by default; you have to switch it off yourself in the settings.
- Training on user data:
- Your inputs may feed into future model versions. Confidential content could in theory resurface in other users' answers.
- EU hosting:
- Processing happens in European data centres — no third-country transfer, which makes GDPR compliance much simpler.
Privacy data checked on 31/07/2026. Editorial summary based on public provider information — not legal advice. When in doubt, check the provider's current privacy terms.
Fact sheet
| Vendor | Dynatrace, Inc. |
|---|---|
| Headquarters | Waltham, United States |
| Category | IT Operations & ITSM |
| Pyramid level | Level 11 – IT Operations, Networking & IT Service Management |
| Pricing model | Paid |
| Free forever option | No |
| Open Source | No |
| Entry plan | Dynatrace Platform: upon request (upon request) |
| German | content only, English interface |
| English | interface and content |
| Additional languages | 7 |
| Privacy classification | Unclear |
| Data processing agreement | Organizations should execute the Dynatrace agreement and DPA, select an appropriate data region, review subprocessors, and configure suitable security and retention controls. |
Alternatives to Dynatrace Davis AI
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