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Relevance of SecOps Beyond IT to loT and Edge Assets

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Have you heard of IoT SecOps? Your SecOps team may be defending the network… while risk (literally) walks in through Cameras, Badges and edge devices. The enterprise is no longer just digital. It’s cyber-physical. We know, badges integrate with identity systems. Cameras live on IP networks.  Sensors, kiosks, HVAC, and controllers sit on corporate VLANs […]

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Staying Compliant at the Edge is Tough, and Gaps Surface When You Least Expect Them

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More devices, more regulations, more risks… and more pressure on teams to keep distributed IoT environments secure, audit-ready, and consistently aligned with policy. For most organizations, the reality is that current compliance practices aren’t built for this level of scale or speed. This is exactly why intelligent, real-time compliance visibility is becoming a must-have in

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Top 6 Reasons Manufacturers Are Adopting AI at the Edge

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Modern manufacturing is undergoing a massive transformation, pushed by the need for speed, precision, and always-on operations. Plants are becoming smarter, more connected, and far more data driven. And at the center of this shift is AI-driven edge automation and intelligence. From real-time visibility across machines and production lines to predictive insights that prevent downtime,

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The Rising Imperative: How AI is Redefining OT Risk & Resilience

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In 2025, Operational Technology (OT) environments are no longer edge cases—they’re mission critical. Whether in manufacturing, energy, utilities, or transportation, OT infrastructure underpins essential services and heavy industry. But despite its importance, OT remains one of the weakest links in many organizations’ security posture. Key Industry Shifts “Traditional security tools can’t keep up with modern

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Next-Gen OT Security: Leveraging Agentic AI and AIoT for Resilience and ROI

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Operational Technology (OT) is no longer operating in the shadows of IT—it’s now a mission-critical part of business continuity. Yet, as OT environments evolve to support always-on operations, real-time decision-making, and compliance mandates, they are also becoming increasingly fragmented, vulnerable, and complex to manage. OT infrastructures are often sprawling ecosystems of heterogeneous devices and sensors—from

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Understanding Agentic AI: From Concept to an Application (Example)

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You’ve probably encountered a wave of posts about Agentic AI lately. The enthusiasm is warranted – but often, clarity is missing. Or the focus is entirely on the tools/frameworks. For those from the last century, familiar with “Structured Systems Analysis” or tools like “Data Flow Diagram”, identifying Agents, defining their “functions” may strike an interesting

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“Can you see me? Can you hear me?

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The dreaded Monday morning chorus in hybrid meeting rooms. A frustrated IT manager put it best: 🗣️ “𝐻𝑎𝑙𝑓 𝑜𝑢𝑟 𝑒𝑥𝑒𝑐 𝑚𝑒𝑒𝑡𝑖𝑛𝑔𝑠 𝑠𝑡𝑎𝑟𝑡 𝑤𝑖𝑡ℎ 𝐴𝑉 𝑐ℎ𝑎𝑜𝑠. 𝑍𝑜𝑜𝑚 𝑤𝑜𝑛’𝑡 𝑐𝑜𝑛𝑛𝑒𝑐𝑡. 𝐴𝑢𝑑𝑖𝑜’𝑠 𝑚𝑢𝑡𝑒𝑑. 𝑊𝑟𝑜𝑛𝑔 𝑖𝑛𝑝𝑢𝑡. 𝑃𝑃𝑇 𝑖𝑠𝑛’𝑡 𝑠ℎ𝑜𝑤𝑖𝑛𝑔 𝑢𝑝 𝑜𝑛 𝑠𝑐𝑟𝑒𝑒𝑛. 𝐴𝑔𝑎𝑖𝑛.” The hardware isn’t broken. The setup looks fine. But something isn’t right—and nobody knows until someone from

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73% of CISOs Admit… Security incidents due to unknown or unmanaged assets is a huge headache

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Once upon a time, the CISO was the firewall champion – emerging from deep within the IT trenches. Networking, servers, patching, endpoint security – these were their domains. And they’ve come a long way. From tech specialists to boardroom leaders, today’s CISOs speak the language of risk, regulation, and resilience. They sit at the intersection of

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The Silent Breach: A Story of Security at the Brink

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Logan Carter* has a recurring nightmare. One from his last job. Logan refused to let this nightmare repeat itself at his new job—where he was responsible for even more critical infrastructure. His far-edge security infrastructure—thousands of cameras, badge readers, and sensors—was a ticking time bomb. Legacy tools showed “green” across the board, but Logan knew

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Wait!!! Before Edge AI/ML, you need…

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Operations Security: Lesson 2 – Visibility In discussions with stakeholders across security, manufacturing, facilities, and other domains, one question repeatedly arises: Where do we start?  Before embarking on AI/ML projects, especially for components outside the data center, enterprises need visibility across these 5 critical dimensions: Operational Health Begin with understanding asset utilization, service impact, and potential

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