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Dynatrace — AI for Cybersecurity & IT Infrastructure

AI-powered observability, application security, and IT infrastructure monitoring for cloud environments.

What is Dynatrace?

Dynatrace: AI-powered observability, application security, and IT infrastructure monitoring for cloud environments. Paid, from $7 / mo per host. Zekai's independent review scores it 8.6 out of 10. Best for cloud observability and application performance monitoring.

Facts checked 3 Nov 2026.

DifferentiatorUnified platform with deterministic AI causal root cause analysis and Grail data lakehouse
Explore Dynatrace
Pro from$7 / mo per host
8.6 Zekai
AI Cloud Observability
AI-Powered Cybersecurity & IT Infrastructure
Ease of Use
7.0
Accuracy
9.6
Value
8.0
Time Saving
9.4
APMLog AnalyticsApplication SecurityInfrastructure MonitoringReal User Monitoring
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Zekai Verdict

What is it?
Dynatrace is a unified platform providing end-to-end observability, application security, and log analytics for modern cloud environments.
Best for
DevOps & SRE
Not ideal for
Data retention and query costs can accumulate quickly with high volumes
Price
$7 / mo per host
Zekai Score
8.6/10
Hand-scored by Zekai

Top AI-Powered Cybersecurity & IT Infrastructure picks

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⚡ Quick answer

Dynatrace is an AI-powered observability and application security platform that unifies metrics, logs, traces, and user experience data. It helps IT and engineering teams monitor cloud environments, automatically detect anomalies, and perform root cause analysis.

CategoryAI-Powered Cybersecurity & IT Infrastructure
Best forCloud observability and application performance monitoring
Price from$7 / mo per host
Free plan15-day free trial
DifferentiatorUnified platform with deterministic AI causal root cause analysis and Grail data lakehouse
Rating4.5
📖 About Dynatrace
How It Works

Your workflow, automated

1
Ingest Telemetry
Collect metrics, logs, traces, and events from multi-cloud infrastructure and applications using native agents or OpenTelemetry.
2
Analyze in Context
Unify and process data inside the Grail data lakehouse while the AI engine performs continuous anomaly detection.
3
Take Action
Review automated root cause findings, troubleshoot code live in production, or trigger automated workflows.
Ready to automate your workflow with Dynatrace?
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Real Impact

Before & After

❌ Before

Hours spent manually correlating logs, metrics, and traces across disparate tools during a system outage.

Hours to identify root cause
✅ After

Automated causal AI root cause analysis that isolates production issues to the code level in minutes.

Minutes to identify root cause
AI Prompts

Prompts for Cybersecurity

Prompt 01 AI Prompt for Vulnerability Prioritization
You are a senior cybersecurity analyst. Given the following vulnerability data from a Nessus scan of a production web server (asset criticality: high), prioritize the top 3 vulnerabilities for immediate remediation.
Prompt 02 Prompt for Drafting an RMF Management Policy
Act as a GRC analyst. I need to draft a policy for the 'Manage' function of the NIST AI RMF. Our organization uses Microsoft Defender for Endpoint for EDR, Pentera for automated security validation, and Credo AI for governance.
Prompt 03 Triage a Vulnerability Report
Act as a senior security analyst. I have a vulnerability report from a scanner. Prioritize the findings based on the following context: • The affected asset is a public-facing web server running Linux, tagged as 'critical'.
See all 23 AI prompts for Cybersecurity →
Social Proof

Trusted by professionals

Ease of Use
7.0
Accuracy
9.6
Value
8.0
Time Saving
9.4
Connects With

Dynatrace integrations

Visual Studio Code JetBrains OpenTelemetry Major cloud platforms
Setup complexity: Advanced
Dynatrace is a unified platform providing end-to-end observability, application security, and log analytics for modern cloud environments. It uses foundational AI agents to deliver anomaly detection, causal root cause analysis, and automated workflows. The platform helps you monitor applications, infrastructure, and user experiences from a single data lakehouse.
The decision

Is Dynatrace worth it?

Built for
DevOps Engineers, Site Reliability Engineers (SREs), Platform Engineers, Security Analysts, IT Leaders
Effort to adopt
Advanced
Who It's For

Why Cybersecurity & IT Infrastructure choose this tool

🎯
Built for
DevOps & SRE
In-Depth Overview
Managing modern multi-cloud environments, microservices, and generative AI applications creates immense volumes of telemetry data that traditional monitoring tools struggle to process in context. Dynatrace addresses this complexity by combining application performance monitoring (APM), infrastructure observability, log analytics, and application security into a single unified platform powered by its Grail data lakehouse and deterministic AI. Instead of manually correlating disparate metrics, logs, and traces during an incident, you receive automated root cause analysis that pinpoints problems down to the code level within minutes rather than hours. The platform offers transparent commitment-based pricing where you make a platform-level annual commitment rather than buying capabilities piecemeal, and everything draws down via transparent rate-card pricing. You can choose specific tiers depending on whether you need basic infrastructure monitoring, full-stack application observability, container tracking, or runtime security. However, configuring and maintaining a comprehensive observability architecture across hundreds of technologies requires dedicated operational overhead and technical expertise. Furthermore, storing and retaining large volumes of trace, metric, and log data over extended periods will incur substantial consumption costs unless managed carefully. By deploying Dynatrace, you gain the visibility required to prevent system failures, protect software against runtime vulnerabilities, and automate IT operations without sorting through false alarms.

Key Use Cases

⚙️
Troubleshoot production code instantly
DevOps Engineer
Debug containerized applications live in production using non-breaking breakpoints and deep code-level profiling.
Minutes to root cause
🛡️
Detect and block runtime vulnerabilities
Security Analyst
Continuously identify first and third-party code exposures and automatically prioritize security risks.
Continuous scanning
✓ Pros
Unified platform combining observability, logs, and security
Automated causal AI engine reduces incident detection time
Flexible annual commitment pricing with transparent rate cards
Comprehensive coverage of supported technologies
Detailed code-level profiling and live troubleshooting
· Cons
Data retention and query costs can accumulate quickly with high volumes
Initial setup and topology configuration require specialized knowledge
Platform-level annual commitment required for best rates
Steep learning curve for advanced data querying language (DQL)
⚡ Editorial Verdict

Dynatrace delivers deep observability and automated root cause analysis for complex cloud-native environments. However, configuring the platform requires technical expertise, and extensive log or trace retention can become expensive depending on consumption rates.

Questions & Answers

Frequently asked questions

How does Dynatrace pricing work?

+
Dynatrace uses an annual platform-level commitment model. You make a single commitment, and all capabilities draw down from it using transparent rate-card pricing without surprise overage premiums.

Does Dynatrace support OpenTelemetry?

+
Yes, Dynatrace offers native OpenTelemetry support, allowing you to ingest metrics, traces, and logs via OTLP from any source while preserving context.

What is included in Full-Stack Monitoring?

+
Full-stack monitoring includes APM, automated root cause analysis for end-to-end transactions, code-level profiling, Kubernetes platform monitoring, and OpenTelemetry metrics and traces.

Last reviewed:

Plans & Pricing

Dynatrace pricing and plans

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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AI Directory

About Dynatrace

Full Description

Dynatrace is a unified platform providing end-to-end observability, application security, and log analytics for modern cloud environments. It uses foundational AI agents to deliver anomaly detection, causal root cause analysis, and automated workflows. The platform helps you monitor applications, infrastructure, and user experiences from a single data lakehouse.

Editorial Verdict

Dynatrace delivers deep observability and automated root cause analysis for complex cloud-native environments. However, configuring the platform requires technical expertise, and extensive log or trace retention can become expensive depending on consumption rates.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Dynatrace unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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