Eric Moore

For 16 years in Fortune 300 infrastructure, I’ve seen transformations stall, automation fade into half-finished scripts, and AI projects collapse under the weight of unclear goals. That’s why I’m starting Core Perspectives — a new blog where every post tackles a real problem and walks through a practical solution. No hype, no buzzwords, just lessons that hold up when it matters most. The introduction is live now. This is where it starts. 👉 Read the full post here: https://lnkd.in/e2CAZrze

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Security isn’t a checkbox — it’s architecture. Unapproved file-sharing apps and outdated MFT platforms quietly introduce real risk. When compliance gaps surface under frameworks like HIPAA or GDPR, the financial and reputational impact can be massive. A better model? Deploy SFTP inside your own cloud environment. Keep data in your tenant. Maintain full audit logs, strong encryption, granular access controls, and native integration across AWS, Azure, or Google Cloud. When file transfer lives inside your infrastructure — not outside of it — compliance becomes operational, not reactive. #ThornTechnologies

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Serving on the Foundation for Advancing Security Talent (FAST) Board and volunteering in workforce development, I see clearly what’s at stake for our industry. If we want innovation and growth in security, we must intentionally invest in future talent. This isn’t someone else’s responsibility — it’s ours. Open a door. Mentor. Show up on a campus. Create an internship. The mission is simple: EACH ONE REACH ONE. Watch for the podcast to drop — and when it does, share it with a security industry friend. The challenge is on. Want to get involved in college outreach or workforce development? Ask me how. Sarah W. Kirstin Liss Matt Winn

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Google's algorithms know me very well, as my news feed is filled with articles on Generative AI. The daily buzz around "AI Agents"—specialized bots for every conceivable task—has reached a fever pitch. However, I view "Agent Sprawl" as merely the latest form of technical debt. The future does not lie in managing a library of thousands of static agents, each tailored for specific tasks, but in nurturing a single Orchestrator LLM. While we may not be there yet, that day is on the horizon. By equipping a capable model with our business context and process knowledge, it can dynamically generate the solutions we need in real time. I recently demonstrated this by condensing what traditionally took three months for a proof of concept into just one afternoon of prompt engineering using the Antigravity IDE and Gemini 3. It is remarkable how straightforward what was once complex has become. The models are incredibly capable even today when provided with the right information. Whether designing intricate workflows or automating a Microsoft Teams message notification, the focus should become less and less on hard-coding the "how" into an agent. Instead, we should aim to provide the LLM with the context, including business processes, it needs to solve our problems for us. I get it. We are just learning to crawl and agents are a logical step. Soon though, we will be able to run. It is time to begin the shift from rigid agent management to dynamic, context-aware orchestration, making this vision a reality sooner rather than later.

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Lock down your Tiger Data services, without the overhead of a VPC. Here’s a quick walkthrough of using IP Allow Lists to control access to just trusted networks.

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Integrating large language models and powerful algorithms into your workflows is a massive undertaking. All that hard work can be undermined if the outputs fall short, quickly eroding stakeholder interest and trust. That's why effectively evaluating LLMs and algorithms is crucial. From initial prototypes to production, and through continuous experimentation and benchmarking, mastering evaluation ensures these advanced tools truly deliver on their promise. #LLM #Algorithms #AI

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“It took 5 minutes to solve what we couldn’t for years.” Relay Network’s DevOps team didn’t need another tool that just flagged issues. They needed a fix for legacy IAM, SCP sprawl, and permissions chaos across AWS. With the Cloud Permissions Firewall, they: ✅ Disabled unused AWS regions ✅ Quarantined zombie resources ✅ Cleaned up years of policy sprawl in minutes 🌐 Hear it straight from Brendan Putek, Director of DevOps at Relay Network: https://lnkd.in/egw7MWkg Sonrai Security → 🤯 One-click least privilege. 😁 Zero disruption.

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Simplify your data access and unlock new possibilities with Amazon S3 Access Points for Amazon FSx for NetApp ONTAP! This game-changing capability allows you to seamlessly connect your FSx for ONTAP file system data to over 50 AWS services like Amazon SageMaker, AWS Glue, and Amazon Redshift—without the hassle of data migration or complex pipelines. From accelerating AI/ML workflows to enabling real-time analytics, industries like healthcare, finance, and media are transforming operations with direct S3 access. Ready to revolutionize your data strategy? Dive into the details and see how you can simplify access, optimize costs, and drive innovation: https://ntap.com/4sk5KpG #datadriven #netappusps #netappdod #netappintel #netappciv #netappsled #netappcloud

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Azure’s new Mongo-compatible Document DB could ease one of the biggest hurdles in NoSQL adoption—balancing flexibility with enterprise-grade governance. For teams already building AI-ready data foundations, that compatibility layer reduces rework and accelerates integration into existing Azure ecosystems. https://lnkd.in/dqpAUnfE #Azure #NoSQL #AI

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