Dynatrace, Inc.DT

Dynatrace combines observability, security, and advanced agentic AI operations.

“Dynatrace, Inc. (“Dynatrace” or the “Company”) combines broad and deep observability, continuous runtime application security, and advanced agentic artificial intelligence (“AI”) operations to deliver answers and intelligent automation across information technology (“IT”) operations, development, security, business, and executive teams, enabling organizations to optimize cloud and IT operations, accelerate secure software delivery, and improve digital performance.”

Dynatrace combines observability, security, and advanced agentic AI operations.

“Dynatrace combines broad and deep observability, continuous runtime application security, and advanced agentic AI operations to deliver answers and intelligent automation across IT operations, development, security, business, and executive teams. This unified approach enables organizations to optimize their rapidly evolving AI, cloud, and IT operations, accelerate secure software delivery, and improve digital performance. Our vision is a world where software works perfectly.”

Dynatrace plans to evolve its agentic AI capabilities through R&D investment.

“• Extend our technology and market leadership position. We intend to maintain our position as a leading AI-powered observability platform through increased investment in research and development, and innovation. We plan to expand the functionality of our end-to-end Dynatrace platform and invest in capabilities that address new market opportunities. We plan to continue evolving our AI capabilities to drive differentiation, with a continued focus on agentic AI capabilities and functionalities that can act autonomously to make decisions and take actions without human intervention. We also believe we are well positioned to continue growing our next generation log management offering, which integrates logs, traces, metrics, and other core observability and security data types into a fully integrated platform with a single datastore, providing customers with greater value than log management solutions that are viewed as too expensive, providing too little value, or largely operating independently from existing monitoring tools. We believe this strategy will enable new growth opportunities and allow us to deliver differentiated high-value outcomes to our customers.”

Dynatrace notes risks in developing new AI technology and solution enhancements.

“In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. We plan to continue evolving our AI capabilities to drive differentiation, with a continued focus on agentic AI capabilities and functionalities that can act autonomously to make decisions and take actions without human intervention.”

Dynatrace warns that integrating agentic AI workflows risks incorrect actions without oversight, harming reputation and inviting legal action.

“AI technologies and solutions, including agentic and generative AI tools, may have bias, produce inaccurate, misleading, harmful, or incomplete data, content, analyses, and recommendations, or other discriminatory, hallucinatory, or unexpected results, inferences, or behaviors. As we integrate more agentic AI workflows into our platform, the actions that are taken or suggested by AI-powered agents performing without human oversight could be incorrect or unintended, resulting in negative impacts for both our company and our customers. If our use of AI were to draw controversy, it could harm our reputation and could give rise to legal or regulatory action.”

Dynatrace states AI use may increase infrastructure demands and service interruptions for its SaaS platform.

“We have experienced, and may in the future experience, service disruptions, outages, and other performance problems both in the delivery of our SaaS solutions, and in third-party SaaS solutions we use due to a variety of factors, including infrastructure changes, malicious actors including disgruntled employees, human or software errors, or capacity constraints. We have experienced disruptions, outages, or performance problems in the past causing some of our services to be unavailable for a limited period of time. While none of these occurrences have been material to our business, future events could be more impactful. As AI technologies are increasingly used and deployed, infrastructure capacity requirements (including network capacity and computing power and energy requirements) may increase and agentic systems may act faster and at greater scale, which could lead to an increase in service interruptions that we experience. We utilize a multi-tenant structure, meaning that generally, our customers are hosted on a shared platform. As such, any interruption in service could affect a significant number of our customers. In some instances, we or our third-party service providers may not be able to identify the cause or causes of these performance problems within an acceptable period of time. It may become increasingly difficult to maintain and improve the performance of our SaaS solutions as they become more complex. If our SaaS solutions are unavailable or degraded or if our cu”

Dan Streetman has experience creating agentic AI-driven workflows at Tanium.

“Dan Streetman currently serves as Chief Executive Officer and board member at Tanium, a leader in autonomous IT. He brings decades of experience leading global customer operations, sales, marketing, product development and professional services for public and private enterprise software and information technology companies, as well as current executive experience creating agentic AI-driven workflows to transform customer experiences, accelerate growth opportunities, and deliver efficiencies. Prior to Tanium, Mr. Streetman served as CEO of TIBCO Software, a provider of enterprise software. Earlier in his career, Mr. Streetman oversaw significant data-driven transformations at BMC, Salesforce, and C3.ai. Mr. Streetman is a distinguished graduate of the U.S. Military Academy at West Point, where he served as the first regiment commander, and he earned an M.B.A. from Harvard Business School.”

Dynatrace delivers observability, security and agentic AI operations across IT, development and security.

“Dynatrace combines broad and deep observability, continuous runtime application security, and advanced agentic AI operations to deliver answers and intelligent automation across IT operations, development, security, business, and executive teams. This unified approach enables organizations to optimize their rapidly evolving AI, cloud, and IT operations, accelerate secure software delivery, and improve digital performance. Our vision is a world where software works perfectly.”

Dynatrace announced general availability of its Dynatrace Intelligence agentic operations system.

“• The Dynatrace platform utilizes AI-driven reasoning and automation . Earlier this year, we announced the general availability of Dynatrace Intelligence , a new agentic operations system built for modern software ecosystems that combines deterministic AI with agentic AI. Dynatrace Intelligence empowers organizations to build more resilient applications, elevate customer experiences, and drive autonomous action across modern digital ecosystems. With Dynatrace Intelligence at its core, we believe our platform is purpose-built for the agentic era, enabling a future where AI-powered observability can help customers automatically prevent, remediate, and optimize their IT environments. We believe our experience in AI gives our customers a competitive advantage in developing their own AI initiatives. We are continuing to invest in AI best practices in services, data, and observability to support our customers on their AI journeys and to enable AI practices of our partners.”

Dynatrace offers AI observability for LLMs and agentic AI systems including agent-to-agent interactions.

“• AI Observability (LLM and Agentic AI Observability) provides observability to improve the performance, resilience, explainability, and compliance of generative AI applications, large language models (“LLMs”), and agentic systems - including agent-to-agent interactions and actions taken by agents to better monitor and manage these workloads.”

Dynatrace offers out-of-the-box configuration for leading cloud and AI frameworks including agentic AI.

“Dynatrace provides out-of-the-box configuration for the leading cloud platforms, such as AWS, Azure, GCP, Red Hat OpenShift, and SAP, the leading AI and agentic AI frameworks and platforms, as well as Kubernetes and coverage for traditional on-premises systems, including mainframe and monolithic applications in a single, easy-to-use, intelligent platform.”

Dynatrace plans to evolve its AI capabilities with focus on agentic AI to drive differentiation.

“Extend our technology and market leadership position. We intend to maintain our position as a leading AI-powered observability platform through increased investment in research and development, and innovation. We plan to expand the functionality of our end-to-end Dynatrace platform and invest in capabilities that address new market opportunities. We plan to continue evolving our AI capabilities to drive differentiation, with a continued focus on agentic AI capabilities and functionalities that can act autonomously to make decisions and take actions without human intervention. We also believe we are well positioned to continue growing our next generation log management offering, which integrates logs, traces, metrics, and other core observability and security data types into a a fully integrated platform with a single datastore, providing customers with greater value than log management solutions that are viewed as too expensive, providing too little value, or largely operating independently from existing monitoring tools. We believe this strategy will enable new growth opportunities and allow us to deliver differentiated high-value outcomes to our customers.”

Dynatrace notes R&D risks and plans to evolve AI capabilities with focus on agentic AI.

“In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. We plan to continue evolving our AI capabilities to drive differentiation, with a continued focus on agentic AI capabilities and functionalities that can act autonomously to make decisions and take actions without human intervention.”

Dynatrace CEO states its platform combines deterministic and agentic AI for trustworthy insights.

“"Our third quarter results surpassed the high end of our guidance across all top line growth and profitability metrics. Notably, we've generated double-digit net new ARR growth for three consecutive quarters, which reflects the growing number of enterprises adopting Dynatrace as their end-to-end observability platform,” said Rick McConnell, CEO of Dynatrace. “As organizations broadly deploy AI, observability is mission critical to managing the reliability and performance of those workloads. The Dynatrace platform combines the strengths of deterministic and agentic AI to deliver trustworthy insights that drive optimal business outcomes.””

Dynatrace unveiled its agentic AI-powered Dynatrace Intelligence operations system.

“• Unveiled Dynatrace Intelligence, a new agentic AI-powered operations system that combines deterministic and agentic AI to deliver reliable, autonomous actions at enterprise scale.”

Dynatrace plans to evolve its AI into an agentic platform that acts autonomously.

“• Extend our technology and market leadership position. We intend to maintain our position as a leading AI-powered observability platform through increased investment in research and development, and innovation. We plan to expand the functionality of our end-to-end Dynatrace platform and invest in capabilities that address new market opportunities. For example, we believe we are well positioned to grow our next generation log management offering, which integrates logs, traces, metrics, and other core observability and security data types into a single platform, providing customers with greater value than legacy log management solutions that are viewed as too expensive, providing too little value, or largely operating independently from existing monitoring tools. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention. We believe this strategy will enable new growth opportunities and allow us to deliver differentiated high-value outcomes to our customers.”

Dynatrace plans to evolve its AI into an agentic platform that acts autonomously.

“In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. For example, we have made significant investments in our application security offering and in developing our Grail TM core technology, AutomationEngine, and AppEngine. We also expanded our Davis ® AI engine to create the observability industry’s first solution that converged fact-based, causal and predictive AI insights with new generative AI capabilities. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention.”

Dynatrace plans to evolve its AI capabilities into an agentic AI platform.

“• Extend our technology and market leadership position. We intend to maintain our position as a leading AI-powered observability platform through increased investment in innovation, research and development, and innovation. We plan to expand the functionality of our end-to-end Dynatrace platform and invest in capabilities that address new market opportunities. For example, in fiscal 2026, we believe we are well positioned to grow our next generation log management offering, which integrates logs, traces, metrics, and other core observability and security data types into a single platform, providing customers with greater value than legacy log management solutions that are viewed as too expensive, providing too little value, or largely operating independently from existing monitoring tools. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention. We believe this strategy will enable new growth opportunities and allow us to deliver differentiated high-value outcomes to our customers.”

Dynatrace plans to evolve its AI capabilities into an agentic AI platform and notes development risks.

“In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. For example, we have made significant investments in our application security offering and in developing our Grail TM core technology, AutomationEngine, and AppEngine. We also expanded our Davis ® AI engine to create the observability industry’s first solution that converged fact-based, causal and predictive AI insights with new generative AI capabilities. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention.”

Dynatrace CEO states its platform serves as a foundation for an agentic AI future.

“"We delivered a strong start to the fiscal year, exceeding guidance across all our metrics, driven by a large number of seven-figure expansion deals and accelerating log management deployment," said Rick McConnell, Chief Executive Officer of Dynatrace. “Cloud modernization and AI have caused an explosion of data and complexity that is compelling customers to move away from fragmented tools toward an end-to-end observability platform. Our 3rd generation platform, with Grail at its core, was purpose-built to address this market shift, providing deterministic insights that can lead to more resilient software and serve as a trustworthy foundation for an agentic AI future.””

Dynatrace expanded its platform with agentic AI capabilities to prevent issues, optimize resources, and adapt autonomously.

“• Expanded the Dynatrace platform with agentic AI capabilities designed to prevent issues, optimize resources, and adapt autonomously.”

Dynatrace plans to evolve its AI capabilities into an agentic AI platform that acts autonomously.

“• Extend our technology and market leadership position. We intend to maintain our position as a leading AI-powered observability platform through increased investment in innovation, research and development, and innovation. We plan to expand the functionality of our end-to-end Dynatrace platform and invest in capabilities that address new market opportunities. For example, in fiscal 2026, we believe we are well positioned to grow our next generation log management offering, which integrates logs, traces, metrics, and other core observability and security data types into a single platform, providing customers with greater value than legacy log management solutions that are viewed as too expensive, providing too little value, or largely operating independently from existing monitoring tools. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention. We believe this strategy will enable new growth opportunities and allow us to deliver differentiated high-value outcomes to our customers.”

Dynatrace notes risks in developing new AI technology including its planned agentic AI platform.

“In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. For example, we have made significant investments in our application security offering and in developing our Grail TM core technology, AutomationEngine, and AppEngine. We also expanded our Davis ® AI engine to create the observability industry’s first solution that converged fact-based, causal and predictive AI insights with new generative AI capabilities. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention.”

Dynatrace offers causal, predictive, and generative AI via Davis and Davis CoPilot and is evolving toward an agentic AI platform.

“• The Dynatrace platform is AI-powered . For over a decade, Dynatrace customers have relied on the causal and predictive AI capabilities of our AI engine, Davis ® . During our fiscal 2025, we made generative AI capabilities available on the Dynatrace platform through Davis CoPilot, bringing the platform to a much wider array of end users and extending the capabilities of the Dynatrace platform. We believe we have architected our combination of causal, predictive, and generative AI to make AI techniques iteratively more intelligent. Our AI capabilities drive differentiation, with an increasing focus on evolving into an agentic AI platform that can act autonomously to plan, make decisions, and take actions without human intervention. As organizations collect and maintain more data, AI embedded in end-to-end observability and related solutions is often required for reliable prediction and analysis, accurate insights, prevention of issues and problems, and quick identification and resolution when they arise. We believe our experience in AI gives our customers a competitive advantage in developing their own AI initiatives, and we are investing in AI best practices in services, data, and observability to support our customers on their AI journeys and to enable AI practices of our partners.”

Dynatrace focuses on automation and states its agentic AI focus will increase automation levels in the platform.

“• The Dynatrace platform is automated . We believe many organizations want a unified platform with broad-based situational awareness that can automatically identify, analyze, repair, and remediate issues and maximize application performance by optimizing the code, underlying infrastructure resources, and software delivery processes. Dynatrace OneAgent ® uses automation to discover hybrid, multicloud environments, dynamically instruments applications, and consistently learns and updates without human scripting and user configuration. Our Smartscape ® technology continuously updates topological dependencies as the application or operating environment evolves, providing the Dynatrace platform with a representation of relationships between all elements within an environment. We believe this is especially critical during business-impacting threats or incidents. AppEngine and AutomationEngine enable our customers to create custom automations of workflows and processes. Our focus on agentic AI is expected to increase the level and types of automation within the Dynatrace platform.”

Dynatrace provides AI observability for generative AI applications, LLMs, and agentic systems.

“• AI Observability provides observability to improve the performance, resilience, explainability, and compliance of generative AI applications, large language models (LLMs), and agentic systems.”

Dynatrace provides out-of-the-box configuration for leading cloud platforms and AI/agentic AI frameworks.

“Dynatrace provides out-of-the-box configuration for the leading cloud platforms, such as AWS, Azure, GCP, Red Hat OpenShift, and SAP, the leading AI and agentic AI frameworks and platforms, as well as Kubernetes and coverage for traditional on-premises systems, including mainframe and monolithic applications in a single, easy-to-use, intelligent platform.”

Dynatrace plans to evolve its AI capabilities with focus on becoming an agentic AI platform that acts autonomously.

“Extend our technology and market leadership position. We intend to maintain our position as a leading AI-powered observability platform through increased investment in research and development, and innovation. We plan to expand the functionality of our end-to-end Dynatrace platform and invest in capabilities that address new market opportunities. For example, in fiscal 2026, we believe we are well positioned to grow our next generation log analytics offering, which integrates logs, traces, metrics, and other core observability and security data types into a single platform, providing customers with greater value than legacy log management solutions that are viewed as too expensive, providing too little value, or largely operating independently from existing monitoring tools. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention. We believe this strategy will enable new growth opportunities and allow us to deliver differentiated high-value outcomes to our customers.”

Dynatrace plans to evolve its AI capabilities into an agentic AI platform that acts autonomously.

“In addition, the process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends, our business could be harmed. We believe that we must continue to dedicate significant resources to our research and development efforts, including significant resources to developing new solutions and solution enhancements before knowing whether the market will accept them. For example, we have made significant investments in our application security offering and in developing our Grail TM core technology, AutomationEngine, and AppEngine. We also expanded our Davis® AI engine to create the observability industry’s first solution that converged fact-based, causal and predictive AI insights with new generative AI capabilities. We also plan to evolve our AI capabilities to drive differentiation, with a focus on evolving into an agentic AI platform that can act autonomously to make decisions and take actions without human intervention.”

Dynatrace CEO highlights AI-powered observability platform amid rise of generative and agentic AI workloads.

“"Our third quarter results exceeded guidance across all key operating metrics," said Rick McConnell, Chief Executive Officer of Dynatrace. "The explosion of data, along with its complexity, combined with the unprecedented requirements for speed and scale, are making modern digital ecosystems unmanageable. In a world where generative and now agentic AI workloads are ramping, the observability market has become mission critical for organizations to ensure high business resiliency and deliver exceptional customer experiences. Our leading AI-powered observability platform, combined with our ongoing innovation, provide us with a powerful advantage to capture the opportunity ahead."”