ServiceNow & Microsoft Hyperscaler

ServiceNow & Microsoft: Streamlining Enterprise Workflows with Integrated Cloud Infrastructure

The strategic integration between ServiceNow and Microsoft Azure enables organizations to enhance their digital workflow capabilities while maintaining full control over data and cloud infrastructure. By moving ServiceNow instances to Azure, enterprises gain seamless access to both platforms through a unified interface, combining ServiceNow's workflow automation with Azure's scalable cloud services. This integration supports enhanced IT service management, automated incident handling through Microsoft Defender for Cloud, and streamlined configuration compliance monitoring—all while ensuring zero disruption to existing business processes and accelerating innovation through tighter platform integrations.

Cybersecurity

CISO's guide to RAG data security risks and protection strategies
Retrieval-augmented generation enhances AI security, but expands the attack surface. Organizations need to aggressively manage ...
AI attacks lack stealth -- nation-state actors are changing that
Today's AI attacks are still hard to miss and easy to stop, but nation-state threat actors are quietly pioneering low-and-slow ...
Unifying FinOps and SecOps: The case for FinSecOps
The financial and operational aspects of security don't need to be separate disciplines. Is it time to consider a FinSecOps ...

Data Technologies

AI doesn't have a trust problem. Your data does.
The AI auditability gap isn't an AI problem. It's decades of data management debt, finally coming due, exposed by autonomous ...
AWS emphasizing database security as AI powers new threats
While the tech giant has always focused intently on protecting proprietary data, its database security capabilities are taking on...
Data contracts gain urgency as AI tests data foundations
Unreliable data can undercut AI efforts before they deliver meaningful returns. Data contracts help clarify accountability and ...

Enterprise Software

How agent assist technology works in the contact center
Contact centers that invest in agent assist technology can help their agents become more productive and eliminate tedious tasks ...
Software usage does not prove software value
Logins, clicks and feature use can help evaluate software, but they do not prove value unless tied to workflow improvement and ...
Salesforce broadens headless offering for agentic AI access
Headless 360 kicks into high gear with MCP servers for Salesforce features, data repositories.

IT Infrastructure

Why agentic AI needs network APIs to succeed
APIs are a foundational component for agentic AI to work properly across enterprise networks. Learn why autonomous agents depend ...
Why you need a dedicated design system team
A dedicated design system team can create reusable components, improve collaboration and branding, and reduce development work, ...
IT/OT convergence training and certification: A practical guide
IT/OT convergence training involves rethinking existing processes and acquiring new skills to bridge the knowledge gap in areas ...

IT Strategy

AI botsitting: Why your productivity gains aren't what they seem
AI promised productivity gains, but workers now spend hours correcting its errors with AI botsitting -- a hidden cost draining ...
AI model incidents highlight security concerns
In this Q&A, Seth Johnson, CTO at Cyara, discusses how enterprises need to sharpen their security policies and infrastructure in ...
Continuous IT learning in the age of AI, cloud and automation
Continuous learning is essential in IT to bridge skill gaps, drive innovation and keep teams resilient against evolving ...

ServiceNow & Microsoft: Streamlining Enterprise Workflows with Integrated Cloud Infrastructure

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