Dynatrace is expanding its capabilities to give companies deeper insights into their generative AI applications. With enhanced visibility and observability, organizations can optimize reliability, performance, security, and compliance—while gaining a clearer understanding of their AI investments and returns.
Large AI investments demand greater transparency
According to IDC, global investments in AI technologies are expected to exceed $749 billion by 2028. To maximize the business value of AI, organizations need more than just technology investments—they also need the ability to monitor and govern usage securely and effectively.
The importance of oversight and control
Johan Dahlin, Head of Nordics at Dynatrace, emphasizes the need for visibility and observability for Swedish companies:
“Many companies are investing heavily in AI but have limited insight into how the technology is actually used. Which solutions deliver value, which remain underutilized, and are legal and regulatory requirements being met? How does AI fit into the company’s security strategy? With clear visibility, organizations can answer these questions and ensure AI projects meet expectations.”
Advanced features for improved observability
Dynatrace enhances observability with several advanced features, including:
- Improved large language model (LLM) analytics – Tracks key KPIs and leverages predictive AI to anticipate cost fluctuations related to AI usage.
- Protection for AI inputs and outputs – Detects hallucinations, prevents data leaks, and finds malicious prompt attacks.
- Multi-model tracking – Maps dependencies across multiple AI models and RAG pipelines to provide a comprehensive view of AI systems.
- Responsible AI integration – Maintains an auditable history of AI transactions and delivers real-time analysis with Dynatrace Grail.
AI observability is the key to success
“More customers are now deploying AI applications across their businesses. AI observability is essential for ROI, security, and understanding model performance. Our platform provides AI-driven, real-time insights that give companies full control over their AI investments,” says Alois Reitbauer, Chief Technology Strategist at Dynatrace.
AI models must be reliable and cost-efficient
Stephen Elliot, Group VP at IDC, stresses that AI observability is crucial for building reliable and cost-effective AI solutions:
“Companies must be able to monitor their AI models in real time, detect anomalies, and ensure they deliver real business value.”