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How zero trust architecture can improve government user experiences

Dynatrace

As federal agencies implement zero trust (ZT) as directed by the White House “Executive Order on Improving the Nation’s Cybersecurity,” there’s growing concern that zero trust architecture and great user experiences can’t coexist. I filled out a form, input my government ID information, and waited for a confirmation code that never came.

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Charting the course for automation and AI for federal agencies

Dynatrace

At the recent United States Public Sector user group, Dynatrace gathered government leaders and partners to discuss a range of technology topics. Luckily, they also discussed how Dynatrace is enabling government leaders to overcome these challenges and scale to new heights. “The The focus shifts to minimizing impact.

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Tech Transforms podcast: How to ensure both zero trust and positive user experiences at federal agencies

Dynatrace

Can zero trust and positive user experiences coexist within the government? This mandate directs federal agencies to advance toward a zero-trust architecture that “eliminates implicit trust in any one element, node, or service.” On Episode 51 of the Tech Transforms podcast, we tackle zero trust and user experience.

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How to achieve the pillars of zero trust at federal agencies

Dynatrace

Government Toward Zero Trust Cybersecurity Principles , have increased federal IT and security leaders’ urgency to implement zero trust (ZT). The White House’s Executive Order on Improving the Nation’s Cybersecurity and the Office of Management and Budget (OMB) memo, Moving the U.S.

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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

State and local governments can prevent outages to improve citizens’ digital experiences Traditional cloud monitoring methods can no longer scale to meet agencies’ demands, as multicloud architectures continue to expand. That’s why teams need a modern observability approach with artificial intelligence at its core.

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Measuring the importance of data quality to causal AI success

Dynatrace

It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. Some incorporate features for data governance and quality control, which is important for ensuring the accuracy of causal inferences.