Dynatrace unveils agentic AI to boost enterprise automation
The extension of the platform comes at a time when organisations are ramping up investment in AI to drive productivity in software development. Industry reports highlight that developers often spend up to 80% of their time securing, debugging, and optimising digital systems that are already in production. Dynatrace aims to address this with agentic AI solutions designed to enable a shift from manual oversight to automated, AI-driven workflows.
"We anticipated the growing complexity of digital systems outpacing the capabilities of traditional observability solutions reliant on human intervention. This is why we built the next generation of our platform to help customers leverage advanced AI to offload work and unlock entirely new possibilities. By unifying observability, security, and business data in a revolutionary data lakehouse architecture, we've created the foundation for AI to deliver real-time insights and act autonomously in ways that were unimaginable a few years ago," said Bernd Greifeneder, Founder and CTO, Dynatrace.
The company describes its platform as built around a foundation specifically created for agentic AI, connecting observability, security, and business data in a schema-free, indexless data lakehouse. This architecture supports intelligent decision-making and independent action, with the intention of moving enterprises closer to smart, self-operating systems. The platform's framework provides the mechanisms for agentic AI to operate with precision and adaptability.
The data infrastructure includes Grail, a schema-free, indexless data lakehouse, with hot/hot design for immediate access to large volumes of data in real-time context. Grail removes the inefficiencies of traditional indexing and data rehydration, allowing agentic AI systems to process complex and large data sets efficiently. This is supplemented by Smartscape, the platform's real-time topology discovery solution. Smartscape continuously maps dependencies within digital environments, boosting the precision of insights and the platform's automation capabilities.
Davis AI, the artificial intelligence engine that underpins the platform, integrates causal, predictive, and generative AI methodologies. According to Dynatrace, Davis AI analyses unified datasets to deliver reliable insights and plan actions intelligently. The system is designed to reduce AI hallucinations and maximise precision, while maintaining alignment with responsible AI practices and regulatory compliance.
The AutomationEngine, another aspect of the platform, is responsible for executing autonomous tasks and offering integration with both proprietary and third-party AI agents. Dynatrace reports that this enables both efficient and adaptable automation within a secure and privacy-centric framework, which is increasingly relevant for enterprises requiring controlled agentic AI actions.
"These innovations provide the transparency, automation, and agility enterprises need to stay ahead in a rapidly evolving technology landscape. The result is a platform capable of autonomously preventing potential issues, optimizing resource use, and adapting to unforeseen challenges," Bernd Greifeneder said, further commenting on the significance of these developments.
"Agentic AI represents a fundamental transformation in enterprise technology. Our platform not only delivers insights but actively enables businesses to anticipate challenges, adapt to changing conditions, and achieve their boldest ambitions. This evolution embodies our long-standing vision to empower organisations through trustworthy automation and actionable intelligence," Greifeneder added, addressing the broader impact of adopting agentic AI.
According to Dynatrace, these updates are aimed at providing developers, business leaders, and organisations with enhanced intelligence and autonomy to address digital complexity and enhance digital transformation efforts.
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