🏭 **Embracing the Future of Smart Manufacturing!** 🤖 The manufacturing industry is undergoing a significant transformation, with 56% of companies already piloting smart initiatives. However, this shift comes with its own set of challenges—especially in cybersecurity and the need for a skilled workforce. According to Rockwell Automation’s recent report, 50% of manufacturers plan to leverage AI and machine learning for quality control within the next year. It's clear: as we embrace automation, the demand for skilled workers proficient in AI and cybersecurity is skyrocketing. To stay competitive, organizations are not just looking at technology investment; they're also pursuing strategies to close the skills gap. 🛠️ Investing in training and technology isn't just a choice—it's a necessity for resilience in today's uncertain landscape. As leaders, we must prioritize building teams that can harness the power of AI while safeguarding our operations against increasing cyber threats. Let’s keep the conversation going! How is your organization preparing for these changes? #SmartManufacturing #AI #Cybersecurity #DigitalTransformation #ManufacturingExcellence 👉 https://lnkd.in/eExJVKHq
Smart Manufacturing: Challenges and Opportunities
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For the first time, cybersecurity ranks as a top external risk to smart manufacturing, second only to inflation and economic growth. This matters because the line between IT and OT is disappearing. That’s great for connectivity... but it also widens the attack surface. No longer can cybersecurity be treated as an afterthought or buried under “technology.” Today, it's a boardroom priority. What’s shifting: 1. 61% of security leaders plan to adopt AI/machine learning for cybersecurity within the next year. 2. Nearly half of manufacturers see securing converging IT/OT architecture as essential for positive progress over the next five years. 3. Cyber readiness is now a key hiring priority for skills, analysis, and risk management. In our industry, securing every asset is a performance driver. By integrating cybersecurity with operational visibility and AI-based defense, manufacturers are laying the groundwork for productivity, sustainability, and innovation. To stay ahead, manufacturing leadership must: 1. Treat cyber risk as a strategic opportunity, not just a cost. 2. Use AI to shift from reactive cybersecurity to proactive resilience. 3. Invest in cybersecurity talent as seriously as they invest in digital infrastructure. Cybersecurity is clearing the path to smarter manufacturing. #SmartManufacturing #Cybersecurity #AI #OperationalResilience #ManufacturingLeadership
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Report: Cybersecurity Professionals Plan AI Adoption in Manufacturing... Rockwell Automation, Inc. released the cybersecurity findings from its 10th annual “State of Smart Manufacturing Report.” Collecting insights from 1,500-plus manufacturing leaders across 17 of the top manufacturing countries, the report shows how cybersecurity is becoming a critical business challenge. According to report findings, one-third of respondents have direct information technology (IT) and operational technology (OT) cybersecurity responsibilities. The integration between IT and OT increases the risk of cyberattacks. The report shows that manufacturers are beginning to use artificial intelligence (AI) to help manage these risks to strengthen protection. “Cybersecurity is no longer just a technology issue, it’s a boardroom issue,” says Stephen Ford, vice president and chief information security officer at Rockwell Automation. “Our latest research confirms what we’re seeing firsthand: Cyber risk is now one of the top threats to manufacturing growth. AI is a critical part of the modern security stack, enabling manufacturers to detect threats in real time, maintain productivity, and stay ahead in an increasingly aggressive threat landscape.” Read the entire Digital Engineering 24/7 article here: https://lnkd.in/gaMdMRVP Digital Engineering 24/7 #AI #ArtificialIntelligence #MechanicalEngineering #Productdevelopment
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New Research on AI use by Industrial Firms reveals 41% firms plan to use AI technology for labor shortages Full Report = https://lnkd.in/dGgD5m-y Bravo all to Rockwell Automation including Anirudh Kulkarni & Alexander Zhegalin for their great work on #CyberSecurity
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At Hornetsecurity, we're constantly balancing innovation with real-world security. One area that’s breaking new ground is computer vision; not in self-driving cars, but in cybersecurity. By transforming threat data into visuals, we're enabling AI to detect patterns and anomalies that traditional systems might miss. It's an enhancement of our mindset, where we move beyond reactive defense to proactive insight. This isn't just about new tech; it's about redefining how we safeguard our business in a fast-evolving threat landscape. Learn more about using computer vision to detect cyber threats 👇 https://lnkd.in/eJmv_Z_K
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𝑴𝒂𝒏𝒖𝒇𝒂𝒄𝒕𝒖𝒓𝒊𝒏𝒈 𝒊𝒔 𝒆𝒗𝒐𝒍𝒗𝒊𝒏𝒈 𝒇𝒂𝒔𝒕𝒆𝒓 𝒕𝒉𝒂𝒏 𝒆𝒗𝒆𝒓 - 𝒃𝒖𝒕 𝒂𝒓𝒆 𝒐𝒖𝒓 𝒐𝒑𝒆𝒓𝒂𝒕𝒊𝒐𝒏𝒔 𝒆𝒗𝒐𝒍𝒗𝒊𝒏𝒈 𝒔𝒂𝒇𝒆𝒍𝒚? In the race to innovate, there’s one factor that can’t be overlooked: protecting what you create. From intellectual property to operational data, the right systems can mean the difference between leading the market and playing catch-up. Smart manufacturing isn’t just about speed or efficiency, it’s about resilient growth, where innovation and protection go hand in hand. Curious to see how industry leaders are balancing these priorities with AI, cybersecurity, and digital transformation. How is your team ensuring that innovation and protection go hand in hand in your operations? Bhavik Shah, Joe Gallant FABTECH Expo #Manufacturing #Innovation #Cybersecurity #IPProtection #DigitalTransformation #AI #Industry40 #SmartManufacturing #Leadership #BusinessGrowth #Fabtech2025 Katalyst Software Services Limited Panacea Infotech Pvt. Ltd. Katalyst Engineering Nova Techset Ltd.
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"The Wild World of Business & Cybersecurity: 2025 Edition" Welcome to the business jungle, where the predators are no longer rivals—they’re bots, deepfakes, and ransomware cartels. Forget old-school “firewalls”; in 2025, quantum hackers are stockpiling encrypted data and betting on breaking it open with tomorrow’s quantum chips. The most valuable asset? Trust, mined through zero trust architecture and verified by AI sentinels that never sleep. Companies are now hiring “Chief Chaos Officers” to simulate disaster—a.k.a., launching fake ransomware to see who panics first. Social engineering got wilder: AI-generated video calls of fake CEOs have tricked employees into wiring millions to strangers with convincing accents. “Human error” isn’t just a risk; it’s practically a department. Containers and IoT devices are breeding grounds for cyber-chaos, with breaches hopping between smart fridges and finance dashboards in milliseconds. 5G is both the hyperloop for your cloud ambitions and a speedway for hackers around the globe. So here’s the play: Embrace the madness. Train your team to recognize voices—even your own—might not be real. Audit every single link in your supply chain because your barista’s coffee machine could be a Trojan horse. And when the robots come knocking, make sure they’re your robots. Business + cybersecurity = the ultimate competitive sport. Question is: Is your organization ready for the next-level game?
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🚀 The Future of Enterprise Networking: AI, Automation & Zero-Trust Security As a Managing Director, I’ve witnessed how enterprise networks have transformed over the years. Today, it’s no longer just about staying connected. it’s about being intelligent, secure, and adaptive to change. The future is being shaped by three powerful forces: 1️⃣ AI-driven insights – Predicting issues before they disrupt business and optimizing performance in real time. 2️⃣ Automation – Simplifying operations, reducing manual effort, and accelerating deployments. 3️⃣ Zero-Trust Security – Operating on the principle of “never trust, always verify” to stay ahead of evolving cyber threats. 💡 These trends are not just buzzwords; they are what make enterprise networks faster, smarter, and resilient enough to handle tomorrow’s demands. At AVOOR NETWORKS PVT. LTD. (since 1999), our focus has always been on preparing businesses for what’s next. We support enterprises with: 🔹 Networking solutions empowered by AI & automation 🔹 Cybersecurity strategies built on zero-trust principles 🔹 AMC, CAMC & refurbished hardware for cost-efficient scaling 🔹 Over 25 years of trusted expertise in enterprise IT infrastructure 🌐 For me, the future isn’t just about being connected — it’s about building intelligent, secure networks that enable sustainable growth. 🔗 www.avoornetworks.com #enterprisenetworking #automation #zerotrust #ai #cybersecurity #digitaltransformation #futureofwork #b2bservices #itinfra #avoornetworks
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I’ve just read the latest Rockwell study on smart manufacturing, and one stat jumped out: 61% of manufacturers plan to adopt AI for cybersecurity in the next 12 months. And I thought NOPE…. They are not ready for that. Too often, I see AI being treated like a silver bullet when the basics (asset visibility, governance, intrusion detection, remote access control, VulM, skilled teams) are still missing. Without the fundamentals, AI is just another shiny tool (word bandwagon) that is working on IT but OT is still too fragmented and different. For me, cybersecurity is the foundation for growth and transformation for smart factories. If you get it right, AI can accelerate innovation. Get it wrong, and you’re building on sand. Focus on the basics and get more budget and staff on OT Cyber … then use AI in OT to help prioritise remediation and operational resilience priorities. What do you think: are manufacturers prepared for this wave of AI adoption, or moving faster than they should and ignoring the basics? #tributech.io #frenos.io
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𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗶𝘀 𝗔𝗜-𝗟𝗲𝗱 — 𝗮𝗻𝗱 𝗜𝘁’𝘀 𝗛𝗲𝗿𝗲 What if your network could self-optimize, self-secure, and self-heal? At Everest Group 𝗘𝗻𝗴𝗮𝗴𝗲 𝟮𝟬𝟮𝟱, Microland—proud 𝗚𝗼𝗹𝗱 𝗦𝗽𝗼𝗻𝘀𝗼𝗿—continues to drive industry-defining conversations on autonomous operations, now through the lens of AI-powered networks and cybersecurity. Join 𝗥𝗼𝗯𝗲𝗿𝘁 𝗪𝘆𝘀𝗼𝗰𝗸𝗶, SVP and Global CSO Leader for Networks & Cybersecurity at Microland, as he explores: ✅ How AI-led platforms are transforming enterprise operations ✅ The challenges leaders face—and how to overcome them ✅ The future imperatives for secure, scalable, and self-driving networks In this exclusive 𝘀𝗻𝗲𝗮𝗸 𝗽𝗲𝗲𝗸, Robert invites you to join him in Dallas for deep-dive conversations on how AI and automation are redefining network operating models. Be part of the dialogue shaping the next wave of intelligent enterprise infrastructure. Let’s connect, exchange ideas, and build what’s next—together. See you at #EverestGroupEngage2025! #Microland #GoldSponsor #AI #Networks #Cybersecurity #AutonomousOps #EnterpriseIT #FutureOfNetworks #EverestGroup #Microland #GoldSponsor #AutonomousIT #AIOps #ITTransformation #FutureOfIT #NetworkAi Bob Wysocki Viplav Ankur Srivastava Srinidhi Rajkumar Mohammed Abaubacker Ali (Abu) Yugal Joshi Titus M Dharmesh Kapoor Mark Fissell Kurt Hopson Jr Nicole Campana, CMP
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👉 In 2025, CISOs face a new challenge: not too little AI, but too much. AI Overload in Cybersecurity — How Do We Choose What Really Works? AI is everywhere. From boardrooms to SOC dashboards, it promises smarter detection, faster response, and automated prevention. But for CISOs and Cybersecurity leaders, the real challenge today is not the lack of AI tools — it’s the overload of them. With every vendor promising the “next-gen” solution, the question is: which tool truly works for business? Over the years, I’ve found that the answer doesn’t lie in the tool itself, but in the questions we ask before adopting it: 1️⃣ What problem am I solving? (Clear business/risk-driven problem statement) 2️⃣ What should the solution look like? (Define desired outcomes, not number of features) 3️⃣ Which tool actually helps me achieve this? (Alignment of tool capability with required outcome) 4️⃣ What is the time and cost of implementation & sustenance? (Budget, resources, adoption challenges) 5️⃣ How do I measure performance against expected results? (KPIs, ROI, continuous value validation) 📊 Industry research shows: 78% of CISOs say AI-driven threats are already having a significant impact on their organizations. Yet fewer than half feel they have the resources to safely deploy and manage AI-powered tools. This tells us one thing: AI is not a silver bullet. The future won’t belong to those with the most AI tools — but to those who choose wisely and measure relentlessly. 💡 I believe AI is simplifying cybersecurity — but only when applied with intent. The real question for leaders is not “Which AI tool is best?” but “Which AI tool is best for the business?” What’s your perspective? #CyberSecurity #AIinCyberSecurity #CISO #RiskManagement #CyberResilience #AITools #SecurityLeadership #GCC #DigitalTransformation #Innovation
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