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Posted on : June 3, 2025 By Tech World Times Technology  Rate this post This article walks you through five practical steps to implement network segmentation effectively, backed by real-world use cases that showcase its value in different industries. Networks are constantly expanding across offices, cloud services, remote users, and connected devices. With so many moving parts, security gaps can easily form. Once attackers breach a weak point, they often move freely across the network, targeting critical systems and sensitive data. That’s where network segmentation comes in. It’s a practical approach to divide your network into smaller, manageable zones to control access, limit exposure, and isolate threats before they spread. But simply deploying VLANs or access rules isn’t enough. True segmentation needs planning, alignment with your business, and the right mix of technology. Step 1: Assess and Map Your Current Network Start by figuring out what’s on your network and how it communicates. Inventory Devices and Applications: List all system servers, user machines, IoT devices, cloud assets. Map Data Flows: Understand how applications and services interact. Which systems talk to each other? What ports and protocols are used? Identify Critical Assets: Highlight the systems that handle sensitive data, such as payment processing, health records, or intellectual property. Tip: Network discovery tools or NAC solutions can automate asset inventory and reveal communication paths you might miss. Step 2: Define Segmentation Goals and Policies Once you understand your environment, it’s time to set your objectives. Security Objectives: Do you want to reduce lateral movement, isolate sensitive systems, or meet a compliance mandate? Business Alignment: Segment by business unit, sensitivity of data, or risk profile-whatever makes the most operational sense. Compliance Requirements: PCI DSS, HIPAA, and other standards often require network segmentation. Example: A healthcare provider might create separate zones for patient records, lab equipment, guest Wi-Fi, and billing systems. Step 3: Choose the Right Segmentation Method Segmentation can be done in several ways. The right approach depends on your infrastructure goals and types: a. Physical Segmentation Use separate routers, switches, and cables. This offers strong isolation but can be costly and harder to scale. b. Logical Segmentation (VLANs/Subnets) Group devices into virtual segments based on function or department. It’s efficient and easier to manage in most environments. c. Micro segmentation Control access at the workload or application level using software-defined policies. Ideal for cloud or virtualized environments where you need granular control. d. Cloud Segmentation In the cloud, segmentation happens using security groups, VPCs, and IAM roles to isolate workloads and define access rules. Use a combination- VLANs for broader segmentation and micro segmentation for finer control where it matters. Step 4: Implement Controls and Monitor Traffic Time to put those policies into action. Firewalls and ACLs: Use access controls to manage what can move between zones. Block anything that isn’t explicitly allowed. Zero Trust Principles: Never assume trust between segments. Always validate identity and permissions. Monitoring and Alerts: Use your SIEM, flow monitoring tools, or NDR platform to watch for unusual traffic or policy violations. Common Pitfall: Avoid “allow all” rules between segments, it defeats the purpose. Step 5: Test, Validate, and Fine-Tune Even a well-designed segmentation plan can have gaps. Regular validation helps ensure it works as expected. Penetration Testing: Simulate attacks to check if boundaries hold. Review Policies: Business needs to change your segmentation strategy too. Performance Monitoring: Make sure segmentation doesn’t impact legitimate operations or application performance. Automation tools can help simplify this process and ensure consistency. Real-World Use Cases of Network Segmentation 1. Healthcare – Protecting Patient Data and Devices Hospitals use segmentation to keep medical devices, patient records, and visitor Wi-Fi on separate zones. This prevents an infected guest device from interfering with critical systems. Result: Reduced attack surface and HIPAA compliance. 2. Manufacturing – Isolating Industrial Systems Production environments often have fragile legacy systems. Segmenting OT (Operational Technology) from IT ensures ransomware or malware doesn’t disrupt manufacturing lines. Result: More uptime and fewer operational risks. 3. Finance – Securing Payment Systems Banks and payment providers use segmentation to isolate cardholder data environments (CDE) from the rest of the corporate network. This helps meet PCI DSS and keeps sensitive data protected. Result: Easier audits and stronger data security. 4. Education – Managing High-Volume BYOD Traffic Universities segment student Wi-Fi, research labs, and administrative systems. This keeps a vulnerable student device from spreading malware to faculty or internal systems. Result: Safer environment for open access campuses. 5. Cloud – Segmenting Apps and Microservices In the cloud, developers use security groups, VPCs, and IAM roles to isolate applications and limit who can access what. This reduces risk if one workload is compromised. Result: Controlled access and better cloud hygiene. Common Challenges Legacy Tech: Older devices may not support modern segmentation. Lack of Visibility: Hard to secure what you don’t know exists. Operational Hiccups: Poorly planned segmentation can block business workflows. Policy Complexity: Keeping access rules up to date across dynamic environments takes effort. Best Practices Start with High-Risk Areas: Prioritize zones handling sensitive data or vulnerable systems. Keep Documentation Updated: Maintain clear diagrams and policy records. Align Teams: Get buy-in from IT, security, and business units. Automate Where You Can: Especially for monitoring and policy enforcement. Review Regularly: Networks evolve- so should your segmentation. Final Thoughts Segmentation isn’t about creating walls it’s about building smart pathways. Done right, it helps you take control of your network, reduce risk, and respond faster when something goes wrong. It’s a foundational layer of cybersecurity that pays off in resilience, compliance, and peace of mind. About the Author: Prajwal Gowda is a cybersecurity expert with 10+ years of experience. He has built businesses and was a Business Unit Head for Compliance and Testing services. Currently, he is the Chief Technology Officer at Ampcus Cyber, leading the company’s technology strategy and innovation efforts. He has also been involved in the Payment Card Industry, Software Security Framework, ISO 27001 Controls Gap Analysis, ISMS, Risk Analysis, OCTAVE, ISO 27005, Information Security Audit and Network Security. Prajwal is a Master Trainer who has conducted 100+ cybersecurity training sessions worldwide. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

Finding your own path is at the core of gameplay in Pantheon: Rise of the Fallen – players can go anywhere, climb anything, forge new routes, and follow their curiosity to find adventure. It’s not that different from how its creators, Visionary Realms, approaches building this MMORPG – they’re doing it their own way.Transporting players to the fantasy world of Terminus, Pantheon: Rise of the Fallen harkens back to classic MMOs, where accidental discovery wandering through an open world and social interactions with other players are at the heart of the game experience.Creating any multiplayer game is a challenge – but a highly social online game at this scale is an epic quest. We sat down with lead programmer Kyle Olsen about how the team is using Unity to connect players in this MMORPG fantasy world.So what makes Pantheon: Rise of the Fallen unique compared to other MMO games?It’s definitely the social aspect. You have to experience the world and move through it naturally. It can be a bit more of a grind in a way, but it I think connects you more to your character, to the game, and the world instead of just sort of teleporting everywhere and joining LFG systems or just being placed in a dungeon. You learn the land a bit better, you have to navigate and you use your eyes more than just bouncing around like a pinball from objective to objective, following quest markers and stuff. It’s more of a thought game.How are you managing synchronization between the player experience and specific world instances?We have our own network library we built for the socket transport layer called ViNL. That’s the bread and butter for all of the zone communications, between zones and player to zone. SQL server in the back end, kind of standard stuff there. But most of the transports are handled by our own network library.How do you approach asset loading for this giant world?We’ve got a step where we bake our continents out into these tiles, and we’ve got different backends that we can plug into that. We’ve got one that just outputs standard Prefabs, and we’ve got one that outputs subscenes that we were using before Unity 6, and then we’ve got actual full-on Unity scenes that you can load additively, so you can choose how you want to output your content. Before Unity 6, we had moved away from Prefabs and started loading the DOTS subscenes and using that, built on BRG.We also have an output that can render directly to our own custom batch render group as well, just using scriptable objects and managing our own data. So we’ve been able to experiment and test out the different ones, and see what yields the best client performance. Prior to Unity 6, we were outputting and rendering the entire continent with subscenes, but with Unity 6 we actually switched back to using Prefabs with Instantiate Async and Addressables to manage everything.We’re using the Resident Drawer and GPU occlusion culling, which ended up yielding even better performance than subscenes and our own batch render group – I’m assuming because GPU occlusion culling just isn’t supported by some of the other render paths at the moment. So we’ve bounced around quite a bit, and we landed on Addressables for managing all the memory and asset loading, and regular Instantiate Prefabs with the GPU Resident Drawer seems to be the best client-side performance at the moment.Did you upgrade to Unity 6 to take advantage of the GPU Resident Drawer, specifically?Actually, I really wanted it for the occlusion culling. I wasn’t aware that only certain render paths made use of the occlusion culling, so we were attempting to use it with the same subscene rendering that we were using prior to Unity 6 and realizing nothing’s actually being culled. So we opted to switch back to the Prefab output to see what that looked like with the Resident Drawer, and occlusion culling and FPS went up.We had some issues initially, because Instantiate Async wasn’t in before Unity 6, so we had some stalls when we would instantiate our tiles. There were quite a few things being instantiated, but switching that over to Instantiate Async after we fixed a couple of bugs we got rid of the stall on load and the overall frame rate was higher after load, so it was just a win-win.Were there any really remarkable productivity gains that came with the switch to Unity 6?Everything I've talked about so far was client-facing, so our players experienced those wins. For the developer side of things, the stability and performance of the Editor went up quite a bit. The Editor stability in Unity 6 has gone up pretty substantially – it’s very rare to actually crash now. That alone has been, at least for the coding side, a huge win. It feels more stable in its entirety for sure.How do you handle making changes and updates without breaking everything?We build with Addressables using the labels very heavily, and we do the Addressable packaging by labels. So if we edit a specific zone or an asset in a zone, or like a VFX that’s associated with a spell or something like that, only those bundles that touch that label get updated at all.And then, our own content delivery system, we have the game available on Steam and our own patcher, and those both handle the delta changes, where we’re just delivering small updates through those Addressable bundles. The netcode requires the same version to be connected in the first place, so the network library side of that is automatically handled in the handshake process.What guidance would you give someone who’s trying to tackle an MMO game or another ambitious multiplayer project?You kind of start small, I guess. It's a step-by-step process. If you’re a small team, you You start small. It's a step-by-step process. If you’re a small team, you can’t bite off too much. It’d be completely overwhelming – but that holds true with any larger-scale game, not just an MMO. Probably technology selection – making smart choices upfront and sticking to them. It’s going to be a lot of middleware and backend tech that you’re going to have to wrangle and get working well together, and swapping to the newest cool thing all the time is not going to bode well.What’s the most exciting technical achievement for your team with this game?I think that there aren’t many open world MMOs, period, that have been pulled off in Unity. We don’t have a huge team, and we're making a game that is genuinely massive, so we have to focus on little isolated areas, develop them as best we can, and then move on and get feedback.The whole package together is fairly new grounds – when there is an MMO, it needs to feel like an MMO in spirit, with lots of people all around, doing their own thing. And we’ve pulled that off – I think better than pretty much any Unity MMO ever has. I think we can pat ourselves on the back for that.Get more insights from developers on Unity’s Resources page and here on the blog. Check out Pantheon: Rise of the Fallen in Early Access on Steam.

IBM and Roche are teaming up on an AI solution to a challenge faced by millions worldwide: the relentless daily grind of diabetes management. Their new brainchild, the Accu-Chek SmartGuide Predict app, provides AI-powered glucose forecasting capabilities to users. The app doesn’t just track where your glucose levels are—it tells you where they’re heading. Imagine having a weather forecast, but for your blood sugar. That’s essentially what IBM and Roche are creating.AI-powered diabetes managementThe app works alongside Roche’s continuous glucose monitoring sensor, crunching the numbers in real-time to offer predictive insights that can help users stay ahead of potentially dangerous blood sugar swings.What caught my eye were the three standout features that address very specific worries diabetics face. The “Glucose Predict” function visualises where your glucose might be heading over the next two hours—giving you that crucial window to make adjustments before things go south.For those who live with the anxiety of hypoglycaemia (when blood sugar plummets to dangerous levels), the “Low Glucose Predict” feature acts like an early warning system, flagging potential lows up to half an hour before they might occur. That’s enough time to take corrective action.Perhaps most reassuring is the “Night Low Predict” feature, which estimates your risk of overnight hypoglycaemia—often the most frightening prospect for diabetes patients. Before tucking in for the night, the AI-powered diabetes management app gives you a heads-up about whether you might need that bedtime snack. This feature should bring peace of mind to countless households.“By harnessing the power of AI-enabled predictive technology, Roche’s Accu-Chek SmartGuide Predict App can help empower people with diabetes to take proactive measures to manage their disease,” says Moritz Hartmann, Head of Roche Information Solutions.How AI is speeding up diabetes researchIt’s not just patients benefiting from this partnership. The companies have developed a rather clever research tool using IBM’s watsonx AI platform that’s transforming how clinical study data gets analysed.Anyone who’s been involved in clinical research knows the mind-numbing tedium of manual data analysis. IBM and Roche’s tool does the heavy lifting—digitising, translating, and categorising all that anonymised clinical data, then connecting the dots between glucose monitoring data and participants’ daily activities.The result? Researchers can spot meaningful patterns and correlations in a fraction of the time it would normally take. This behind-the-scenes innovation might do more to advance diabetes care and management in the long run than the app itself.What makes this collaboration particularly interesting is how it brings together two different worlds. You’ve got IBM’s computing prowess and AI know-how pairing up with Roche’s decades of healthcare and diabetes expertise.”Our long-standing partnership with IBM underscores the potential of cross-industry innovation in addressing unmet healthcare needs and bringing significant advancements to patients faster,” says Hartmann.“Using cutting-edge technology such as AI and machine learning helps us to accelerate time to market and to improve therapy outcomes at the same time.”Christian Keller, General Manager of IBM Switzerland, added: “The collaboration with Roche underlines the potential of AI when it’s implemented with a clear goal—assisting patients in managing their diabetes.“With our technology and consulting expertise we can offer a trusted, customised, and secure technical environment that is essential to enable innovation in healthcare.”What this means for the future of healthcare techHaving covered healthcare tech for years, I’ve seen plenty of promising innovations fizzle out. However, this IBM-Roche partnership feels promising—perhaps because it’s addressing such a specific, well-defined problem with a thoughtful, targeted application of AI.For the estimated 590 million people (or 1 in 9 of the adult population) worldwide living with diabetes, the shift from reactive to predictive management could be gamechanging. It’s not about replacing human judgment, but enhancing it with timely, actionable insights.The app’s currently only available in Switzerland, which seems a sensible approach—test, refine, and perfect before wider deployment. Healthcare professionals will be keeping tabs on this Swiss rollout to see if it delivers on its promise.If successful, this collaboration could serve as a blueprint for how tech giants and pharma companies might work together on other chronic conditions. Imagine similar predictive approaches for heart disease, asthma, or Parkinson’s.For now, though, the focus is squarely on using AI to improve diabetes management and helping people sleep a little easier at night—quite literally, in the case of that clever nocturnal prediction feature. And honestly, that’s a worthwhile enough goal on its own.(Photo by Alexander Grey)Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.