When Regulators Can’t Agree, Your Data Infrastructure Has to Carry the Weight

In this Hammerspace coverage from AI Infrastructure Field Day 4, Marian Newsome explores the challenges businesses face when regulatory bodies have conflicting requirements for data management. She examines how these discrepancies can burden data infrastructures, necessitating robust systems that can adapt to diverse and evolving legal landscapes. For more insights from Marian Newsome, follow her continuing coverage on LinkedIn Pulse.

AI Guesses, Math Proves: Forward Networks Brings Deterministic Truth to AI Infrastructure Governance

Marian Newsome provides insightful analysis on how Forward Networks champions deterministic approaches in AI infrastructure governance, ensuring that network predictions are validated by concrete mathematics rather than mere speculations. In her examination, she highlights the critical role of deterministic modeling in enhancing accuracy, reliability, and transparency in network operations. For further insights into AI Infrastructure Field Day 4, explore her extended coverage on LinkedIn Pulse.

From Hype to Hardware: AI Infrastructure, Governance, and What’s Old Is New Again

In this episode of The Tech Aunties Podcast, Gina Rosenthal and Marian Newsome discuss AI Infrastructure Field Day 4, highlighting a pragmatic shift toward production‑ready AI infrastructure, with Forward Networks presenting a practical digital twin approach for operations and security, Hammerspace showcasing a global data environment that unifies data across on prem, cloud, and edge with metadata‑driven orchestration, Solidigm emphasizing storage innovation and open source/standards involvement to ease AI deployments, Xsight Labs introducing shipping programmable data‑path hardware, and more. Watch the whole episode to learn about all these Field Day presenters!

The Governance Controls Cisco Didn’t Know They Were Selling

Marian Newsome highlights the unexpected governance controls embedded in Cisco’s offerings, detailing how these features can significantly enhance enterprise IT security and compliance. She explores these controls within Cisco’s product line, noting their potential to inconspicuously support stronger governance strategies. For more insights on AI Infrastructure Field Day 4, check out continued coverage on LinkedIn Pulse.

AI-Powered Security Operations: Governance Considerations for Microsoft Sentinel Enterprise Deployments

Marian Newsome’s latest article examines the critical governance considerations necessary for deploying Microsoft Sentinel at an enterprise level, emphasizing the importance of aligning AI-powered security operations with organizational policies and regulations. Through detailed analysis, Newsome highlights how enterprises can enhance their security posture by effectively integrating the advanced AI capabilities of Microsoft Sentinel into their existing frameworks. For further insights following our special Tech Field Day event with Microsoft Security, watch Security Boulevard.

Your EDR Can’t See Inside Browsers — What SquareX Proved at Security Field Day 14

Marian Newsome recently highlighted a critical gap in cybersecurity: most Endpoint Detection and Response (EDR) systems fail to monitor activities within web browsers. During a presentation at Security Field Day 14, she discussed how SquareX’s Pro offered an innovative solution to this oversight, ensuring enhanced security monitoring. For additional insights into this topic, follow Marian Newsome’s coverage on LinkedIn Pulse.

68 Days Ahead: Turning DNS Data into Compliance and Cyber Resilience

Marian Newsome explores how utilizing DNS data can enhance compliance and cyber resilience, providing organizations with a strategic advantage in preempting security threats. Through efficient data analysis, businesses are not only able to meet regulatory requirements but also fortify their defenses against potential cyberattacks. Discover more insights on this topic by Marian Newsome on LinkedIn Pulse.

AI is Not a Fad

The current hype about building massive generative AI models with massive hardware investment is just one aspect of AI. This episode of the Tech Field Day podcast features Frederic Van Haren, Karen Lopez, Marian Newsome, and host Stephen Foskett taking a different perspective on the larger world of AI. Our last episode suggested that AI as it is currently being hyped is a fad, but the bigger world of AI is absolutely real. Large language models are maturing rapidly and even generative AI is getting better by the month, but we are rapidly seeing the reality of the use cases for this technology. All neural networks use patterns in historical data to infer results, so any AI engine could hallucinate. But traditional AI is much less susceptible to errors than the much-hyped generative AI models that are capturing the headlines today. AI is a tool that augments our knowledge and decision making, but it doesn’t replace human intelligence. There is a whole world of AI applications that are productive, responsible, and practical, and these are most certainly not a fad.

Marian Newsome

Marian Newsome is one of fewer than 100 globally certified IEEE CertifAIEd Lead Assessors, bringing 18+ years of Dell Technologies experience to help enterprises translate AI innovation into defensible governance frameworks.