Dynatrace Intelligence Redefines Observability with Trusted Agentic Automation

Key Terms

agentic AI technical

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

deterministic AI technical

Deterministic AI is an artificial intelligence system that gives the same answer every time it sees the same input, like a recipe that always yields the same dish when followed exactly. For investors, deterministic AI matters because its predictability and repeatability make outcomes easier to test, audit and regulate, reducing operational and compliance risk compared with systems that produce more varied or unpredictable results.

observability technical

Observability is a company’s ability to see and understand what its software systems are doing by collecting and analyzing signals like logs, metrics and traces. For investors it matters because strong observability reduces the risk of downtime, hidden bugs or security issues, supports faster fixes and efficient scaling, and therefore can protect revenue, lower costs and signal disciplined operations — like having clear gauges and alarms on a complex machine.

data lakehouse technical

A data lakehouse is a modern data platform that combines the large, inexpensive storage of a 'data lake' for raw information with the structured, query-ready features of a 'data warehouse,' so businesses can store everything and analyze it faster. For investors, it matters because it can lower data costs, speed up insight generation and reporting, and support better, timelier decisions about performance, risk and strategy—like having a single library that holds both raw manuscripts and an instant searchable catalog.

SRE agent technical

An SRE agent is a medicine designed to prevent or treat skeletal-related events — serious bone problems such as fractures, spinal cord compression, or the need for bone surgery or radiation — most often seen when cancer spreads to bone or in severe bone-weakening diseases. For investors, these agents matter because they address a clear clinical need, can be central to a drug’s commercial value and regulatory review, and trial results or safety news can meaningfully affect a developer’s prospects, much like a protective shield reducing the most damaging risks to a structure.

AI agents technical

AI agents are computer programs designed to perform tasks or make decisions automatically, often by learning from data and adapting to new information. They act like virtual assistants or robots that can handle complex activities without human intervention, which can help businesses and individuals save time and improve efficiency. For investors, AI agents matter because they can enhance decision-making and automate processes that influence markets and financial outcomes.

First-of-its-kind system fusing deterministic and agentic AI to power safe, autonomous operations

LAS VEGAS--(BUSINESS WIRE)-- At Perform, its flagship annual user conference, Dynatrace (NYSE: DT), the leading AI-powered observability platform, unveiled Dynatrace Intelligence, a new agentic operations system that fuses deterministic and agentic AI. This differentiated combination delivers reliable, agentic AI-powered observability to customers. Built to observe and optimize dynamic AI workloads, Dynatrace Intelligence empowers organizations to build more resilient applications, elevate customer experiences, and drive autonomous action across modern digital ecosystems.

Dynatrace Intelligence represents the next phase in the evolution of the Dynatrace platform, helping the world’s largest enterprises move from reactive to preventive and advances them toward autonomous operations while ensuring teams remain firmly in control.

Why Dynatrace Intelligence Matters

Organizations are confronting rising complexity as they continue to adopt new technologies. For example, global AI investment is expected to reach nearly $2 trillion in 2026 and organizations are under increasing pressure to show meaningful progress. Yet many struggle with the unpredictable and dynamic nature of AI and agentic systems. Teams must quickly identify unexpected behaviors, understand downstream impact, and deploy fixes before customer experience or business performance suffers.

Dynatrace Intelligence addresses these challenges with deep, real-time visibility into system behavior and performance across cloud and AI-native environments, creating a real-time digital twin. It removes guesswork by fusing the precise deterministic AI insights with reasoning from coordinated AI agents that drive self-healing systems. The result is reliable autonomous action, reduced operational burden, and more time for strategic decision-making.

The Dynatrace Difference: Fusing Deterministic with Agentic AI

Dynatrace Intelligence uniquely combines deterministic AI, grounded in real-time causal context, and agentic AI, capable of safe reasoning, decision-making, and action within defined guardrails.

This system is powered by the Dynatrace 3^rd generation platform, including:

• Grail, an industry leading, unified data lakehouse that stores metrics, logs, traces, events, user sessions, and business and security data with precise, contextual integrity.
• Smartscape, the real-time dependency graph that continuously and automatically maps relationships and fuels trustworthy, causal insights.

By anchoring agents in environment-specific facts, Dynatrace Intelligence provides a safer, faster, more reliable foundation for autonomous operations. When Dynatrace benchmarked an external SRE agent working together with its deterministic agents, problems were solved up to 12 times more often, three times faster, and at half the cost compared to tests that did not use deterministic agents.

An Ecosystem of AI Agents

Enterprises can orchestrate built‑in and partner agents, with bidirectional integrations across the broader ecosystem, including ServiceNow, AWS, Microsoft Azure, Google Cloud, Atlassian, GitHub, Red Hat, and more.

The agentic architecture includes:

• Agents that deliver foundational capabilities for trusted operational context through causal reasoning, prediction, and real-time intelligence, and oversight.
• Agents that expand teams by providing insight and guidance to targeted functional areas and personas.
• Ecosystem agents that connect with partner platforms expanding the scope of autonomous action across complex environments.

Advancing Autonomous Operations

With Dynatrace Intelligence, organizations can achieve:

• Self-healing systems in dynamic, AI-driven environments
• Proactive prevention, remediation, and optimization
• Reliable autonomous action, leveraging both built-in agents and collaboration with partner agents, with full visibility and control

Teams remain in command while the system continuously manages operational complexity in the background.

The Journey to Autonomous Operations

Dynatrace Intelligence supports customers on a phased journey toward autonomy. Organizations can start by using AI-driven insights and recommendations, progress to leverage automation for supervised operations with human oversight, and ultimately advance to fully autonomous operations with guardrails and controls. This approach allows customers to safely adopt auto-prevention, auto-remediation, and auto-optimization, while maintaining control and building trust at every step.

“Agentic AI offers enormous potential, but many businesses still struggle to ensure it operates reliably, securely, and with consistent performance in real‑world environments,” said Bernd Greifeneder, Chief Technology Officer and Founder at Dynatrace. “Dynatrace Intelligence fuses deterministic and agentic AI, removing the guesswork and delivering AI‑powered observability organizations can trust.”

“As our digital environment grows more complex, we’re looking to move beyond reactive operations and manual intervention,” said Alexander Bicalho, Senior Director of Engineering at Autodesk. “What Dynatrace is outlining with Dynatrace Intelligence aligns with where we want to go—using trusted data and insights to support more autonomous operations. An approach that connects insight to action, while keeping our teams in control, could significantly improve performance and reliability as we scale. It’s observability that doesn’t just detect problems—it understands them and acts on them reliably.”

“The evolution of observability platforms is moving from manual root cause analysis to preventive operations. Organizations are progressing beyond reactive monitoring toward autonomous operations models that combine deterministic AI with agentic AI systems, with AI agents operating at different autonomy levels to orchestrate workflows across integrated ecosystems that span cloud platforms, development tools, and IT service management systems,” said Stephen Elliot, Group Vice President at IDC.

Additional Resources:

• To learn more about Dynatrace Intelligence, please visit the Dynatrace blog
• To learn more about the announcements made at Perform 2026, please visit the Dynatrace newsroom
• To register to tune into Perform 2026 virtually, please visit the registration page

About Dynatrace

Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. Learn more at www.dynatrace.com.

Dynatrace, the Dynatrace logo, Grail, and Smartscape are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners.

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace and AI, and the timing for when any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260128774932/en/

Investor Contact:

Noelle Faris

VP, Investor Relations

Noelle.Faris@dynatrace.com

Media Relations:

Dynatrace PR Team

pr-team@dynatrace.com

Source: Dynatrace