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Dynatrace Introduces Domain Specific Agents, to Extend SRE, Development, and Security Teams with Trusted, Autonomous Action

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site reliability engineer technical
A site reliability engineer is a technical professional who keeps a company’s online services running smoothly, fixing slowdowns, preventing outages and automating repetitive tasks. Think of them as a building manager or traffic controller for software systems: they reduce downtime and improve speed, which helps protect customer trust, revenue and the company’s reputation—key concerns for investors assessing operational risk and growth potential.
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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.
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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.
devops technical
DevOps is a way of working that combines software development and IT operations to improve how technology systems are built, tested, and maintained. It emphasizes collaboration, automation, and continuous improvement to deliver updates quickly and reliably. For investors, understanding DevOps can signal a company’s ability to innovate faster and respond more effectively to market changes.
runtime behavior technical
Runtime behavior describes how a software program, algorithm, or automated system actually acts while it is running — what inputs it takes, the decisions it makes, the outputs it produces, and how it responds to errors or unexpected conditions. For investors, runtime behavior matters because it determines reliability, performance and risk exposure of technology-driven products or services — like how a navigation system steers a car in traffic, rather than how the map was drawn.
vulnerabilities technical
Vulnerabilities are weaknesses or gaps in a company’s finances, operations, products, systems or compliance that make it more likely to suffer losses, fines, reputational damage or operational disruption. Investors care because these weak spots can reduce future profits or increase risks—think of them as small holes in a boat that, if ignored, can lead to expensive leaks or sink the vessel. Identifying vulnerabilities helps assess downside risk and the potential need for corrective action.
natural language technical
Natural language is the ordinary human speech and writing people use to communicate ideas, questions and information, as opposed to computer code or formal symbols. For investors, it matters because many business documents, communications, customer feedback and emerging technologies like natural language processing rely on this everyday wording; understanding how machines interpret or companies present that language can affect how information is measured, automated and valued. Analogously, it’s the difference between talking to a person and typing commands into a machine.
policy-driven controls technical
Policy-driven controls are rules and automated checks an organization builds into its systems and processes to ensure actions follow internal policies and external regulations. Think of them as the guardrails and traffic lights that steer company decisions and data flows, reducing the chance of mistakes, fines, or operational breakdowns. Investors care because strong controls lower legal, financial, and reputational risk and make a company’s reported results more reliable.

Enabling teams to drive autonomous operations at scale, built on the trust of deterministic AI

LAS VEGAS--(BUSINESS WIRE)-- At Perform, its flagship annual user conference, Dynatrace (NYSE: DT), the leading AI-powered observability platform, announced ready-to-use domain specific Agents to augment site reliability engineer (SRE), development, and security teams with autonomous action. Built on Dynatrace Intelligence – the industry’s first agentic operations system – these agents empower organizations to leverage real-time observability insights to drive fully autonomous outcomes with speed, precision, and governance.

As enterprises expand AI across software and business workflows, operations are becoming more dynamic and complex. Success requires the ability to detect unexpected changes and act with speed and confidence at scale. AI-powered observability helps teams identify, remediate, and prevent issues. Beyond reliability, it accelerates innovation and improves productivity and efficiency, enabling organizations to handle complexity faster and more cost-effectively.

A New Model for Agentic Operations

Dynatrace Intelligence Agents introduce an intuitive model for agentic operations. Customers can use a broad set of specialized agents that serve specific functions and work together, including:

  • Agents that deliver differentiated foundational capabilities for trusted operational context through causal reasoning, prediction, real-time intelligence, and oversight.
  • Domain agents coordinate end-to-end outcomes including SRE and DevOps issue prevention and remediation, business observability for real-time business optimization, and security operations to identify and resolve vulnerabilities.
  • Assist agents interpret situations and guide next best actions through natural language, helping customers onboard quickly and maximize value from Dynatrace across the organization.
  • Agentic workflows orchestrate complex goals with policy-driven controls and approvals, with flexibility for custom use cases.
  • Ecosystem agent integrations connect Dynatrace Intelligence with external systems to drive action across enterprise workflows, DevOps pipelines, and software ecosystems. This ensures teams get the full benefit of agents from key ecosystem partners.

An Agentic Workforce That Mobilizes Automatically

When activated by detected anomalies, or requests are received from users or partner agents, Dynatrace Intelligence automatically mobilize the right agents to assess context, determine urgency, and coordinate next steps. They execute actions directly through the tools teams already use to communicate, track work, and deliver fixes.

Elevated Outcomes Across Teams

Dynatrace Intelligence extends with domain specific agents to what teams can accomplish. They accelerate responses, improve consistency, and free teams for higher-value work. With these agents, teams can:

  • Compress time-to-resolution with coordinated triage, guided remediation, and automated response.
  • Improve customer experiences by optimizing engagement flow, identifying and resolving issues earlier, and preventing recurrence of issues.
  • Reduce operational toil by automating repeatable tasks across service management, reliability, and security operations.
  • Scale best practices by operationalizing expertise into repeatable workflows.
  • Increase confidence and control with policy-driven governance and explainable actions.

Extending Autonomous Operations Across the Partner Ecosystem

Dynatrace Intelligence Agents also collaborate with external platform agents and enterprise systems, enabling action across the full operational landscape without locking organizations into relying on a single vendor. For example, when a high-impact vulnerability appears, Dynatrace Intelligence Agents automatically assess exposure, correlate evidence across logs, traces, vulnerabilities, runtime behavior, and detections, and generate a prioritized response plan. Integrated systems help teams move from alert to action in minutes. For more information on common use cases, please visit the Dynatrace blog.

“The real ROI in Dynatrace Intelligent Agents comes from precision, not prompts. Deterministic AI, unlike LLMs, reduces costs, increases trust, and enables supervised autonomy that enterprises can actually scale. Add the work that Dynatrace has done to build process-oriented agents, such as the SRE, Developer, and Security Agents, and organizations should expect domain-silos to be broken down, leading to fewer cross-team escalations and faster release cycles with fewer production failures,” says Rob Strechay, Principal Analyst, TheCUBE research & Smuget Consulting.

“Organizations will see an explosion of AI agents in the coming year,” said Steve Tack, Chief Product Officer at Dynatrace, “The effectiveness of these initiatives depends on deterministic insight into how agents interact. By anchoring a trusted ecosystem of technology partners, such as AWS, Microsoft Azure, and Google Cloud, to intelligent automation platforms like ServiceNow, we’re helping customers shift from managing incidents to managing intelligence. Together, we’re creating a self-healing foundation that turns cloud complexity into a strategic advantage and enables enterprises to accelerate innovation, optimize performance, and achieve zero-outage outcomes.”

Availability

Dynatrace Intelligence Agents are available now, with more to follow.

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

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About Dynatrace

Dynatrace is advancing observability for today’s digital businesses. Dynatrace helps 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. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog, and follow us on LinkedIn and X @dynatrace.

Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.

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.

Investor Contact:

Noelle Faris

VP, Investor Relations

Noelle.Faris@dynatrace.com



Media Relations:

Dynatrace PR Team

pr-team@dynatrace.com

Source: Dynatrace

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