How Dynatrace’s New AI is Transforming Cloud Security

Enterprise software monitoring has become a critical focus for organisations as they grapple with increasingly complex IT environments.

The global shift to cloud computing, combined with the rapid adoption of AI, has created new challenges in maintaining system reliability and security - and these challenges are only amplified by the growing volume of data that organisations must process and protect.

Tackling this challenge, Dynatrace has announced a series of platform updates focused on cloud security and developer operations at its annual Perform conference in Las Vegas.

Dynatrace strengthens AI capabilities as demand grows

Dynatrace has expanded its AI operations (AIOps) capabilities, with tools that use machine learning to identify and resolve IT infrastructure issues before they affect business operations.

The platform includes enhanced preventive operations features within its Davis AI engine, which analyses patterns in IT systems to predict potential failures.

This particular development arrives as enterprises face mounting pressure to maintain system reliability whilst accelerating their adoption of artificial intelligence technologies.

To tackle this, the enhanced AIOps capabilities enable organisations to move beyond reactive problem-solving towards preventive operations, allowing them to address potential issues before they impact business services.

This approach ultimately aims to improve application reliability and accelerate the delivery of new features to the market.

New developer tools signal shift in Dynatrace strategy

Dynatrace has additionally introduced new developer-focused capabilities that integrate monitoring tools earlier in the software development process.

For instance, the company's Live Debugger tool provides real-time insights into application performance, allowing development teams to identify and resolve issues during the coding phase rather than after deployment.

These new capabilities have come as systems across businesses become more distributed and dynamic, requiring development teams to maintain constant awareness of application performance, infrastructure health and user experience metrics.

Therefore, the tools aim to strengthen collaboration between development and operations teams, a practice known as DevOps.

"Businesses today operate in an era of unprecedented complexity, where success hinges on the ability to unlock insights from data, embrace innovation and drive meaningful impact from AI," says Bernd Greifeneder, Chief Technology Officer and Founder at Dynatrace.

Cloud security features target multi-cloud environments

The firm has also launched Cloud Security Posture Management (CSPM) features, designed to help organisations monitor and secure applications running across multiple cloud providers - and this technology continuously assesses security risks and compliance requirements across cloud environments, automating the detection and remediation of vulnerabilities.

The CSPM capabilities build upon Dynatrace's existing Kubernetes Security Posture Management tools, which protect container-based applications.

These features aim to help organisations comply with regulatory standards including the Payment Card Industry Data Security Standard (PCI DSS), Center for Internet Security (CIS) benchmarks, and the General Data Protection Regulation (GDPR).

By consolidating security monitoring into a single platform, Dynatrace aims to reduce the need for separate security tools for each cloud provider.

This approach could lower operational complexity for organisations running workloads across multiple cloud environments.

Compliance and AI observability enhancement

The platform updates coincide with Dynatrace's recent expansion of compliance capabilities to support the European Union's Digital Operational Resilience Act (DORA), which introduces new IT security requirements for financial institutions.

The company has also enhanced its AI Observability solution, a tool designed to help organisations monitor and understand the performance of their Gen AI applications, which reflects the growing adoption of AI technologies across enterprises and the need for tools to ensure their reliability.

The new features will be showcased at the Perform event, where Dynatrace customers and partners will present case studies demonstrating how they use the platform to manage complex IT environments and drive business growth.

"At Perform this year, we are hyper-focused on how we turn our customers' possibilities for accelerated innovation and business growth into a reality.

By harnessing AI and a truly unified platform, we’re empowering an even broader user-audience – from cloud-native, AI-native and development teams to executive and organisational leaders – to transform faster, gain a competitive edge and deliver exceptional digital experiences," says Bernd.

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