Remove data-modernization
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization.

Google 266
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

As a result, the complexity of modern multicloud ecosystems continues to increase. Data proliferation—as well as a growing need for data analysis—has accelerated. Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments.

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How AI and observability help to safeguard government networks from new threats

Dynatrace

The traditional approach is wholly inadequate for modern systems. The complexity of modern systems, combined with the near-constant threat of new attacks, poses a threat too severe to ignore. The result: systems are more secure, more responsive, and better equipped to ensure government data remains secure.

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Why ORMs and Prepared Statements Can't (Always) Win

DZone

By doing so, they effectively separate instructions (the semantics of the SQL query) from the data. Modern languages and frameworks often also abstract away the need to write raw queries, offering high-level interfaces around our database models.

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RSA 2022 guide: DevSecOps transformation with runtime vulnerability management

Dynatrace

Therefore, application vulnerabilities can proliferate quickly and threaten sensitive employee or customer data. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog.

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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts.

DevOps 190