GRCIE

Forecasting used to be the domain of elite institutions, huge budgets, and massive compute power. Now? A single researcher with a desktop computer can run an AI model that outperforms the U.S. GFS system in some areas. Aardvark Weather is a massive leap forward in AI-native forecasting, capable of: ? Training directly on raw weather data from satellites, planes, and ships ? Delivering results thousands of times more efficiently ? Customizing predictions for specific regions or industries in a fraction of the time This isn’t just a technical achievement—it’s a step toward equity in scientific tools. As the model evolves, it could support: ? Local governments with real-time disaster warnings ? Farmers with precise crop forecasts ? Renewable energy firms with wind and solar predictions And that’s just the beginning. The model draws on breakthroughs from Huawei, Google, and Microsoft, proving once again that AI is no longer a sidekick to science—it’s the driver of disruption. For professionals in AI, cloud, or education: this is a case study in how to simplify without sacrificing performance. Innovation doesn’t always mean “more”—sometimes it means doing smarter with less. #AI #Innovation #Forecasting #TechForImpact #SustainableTech #CloudComputing #MachineLearning #AIInScience #WeatherTech #EmergingTech

Google just uncovered over 10,000 fake business listings on Google Maps — and filed a lawsuit against an alleged scam network exploiting them. These listings weren’t just minor spam. They impersonated real companies. They redirected calls. They sold fake 5-star reviews on social media. They charged consumers exorbitant fees in moments of duress — think locked out of your car at night, or a tow you didn’t ask for. Brand impersonation is a growing vector of attack. Whether it’s: ? A phishing site with your logo ? A fake customer service number online ? Or, like this case, a Google Maps listing mimicking your business Bad actors are using your digital identity to exploit others — and ultimately hurt your reputation. What you can do: ? Claim and verify your business listings across major platforms. ? Routinely search for your brand name and phone number. ? Set up alerts for reputation monitoring. ? Educate your customers on official channels of communication. This isn’t just a marketing issue. It’s cybersecurity. And it’s happening in plain sight. #CybersecurityAwareness #BrandProtection #CloudSecurity #DigitalImpersonation #SocialEngineering #GoogleMaps #InfoSec #Cybercrime #OnlineFraud

16.8 billion records were exposed in 2024. Yes, billion with a b. Flashpoint’s latest Global Threat Intelligence Report shows a 6% increase in data breaches, with ransomware and credential compromise leading the charge. Here’s what’s most alarming: ? Over 3.2 billion compromised credentials were found on illicit marketplaces last year. ? 75% of those credentials were stolen using infostealer malware. ? 69% of infostealer infections impacted corporate environments. What makes infostealers so effective? ? Low cost ? Easy deployment ? Hard-to-detect infiltration ? Often the first step before ransomware attacks Credential hygiene is non-negotiable. ? Use MFA everywhere, especially for privileged accounts. ? Monitor for leaked credentials using threat intel feeds. ? Train teams to recognize phishing – a common infostealer delivery vector. Credential theft isn’t just a symptom of attacks—it’s the fuel that keeps them going.

Supply chain professionals today are navigating a perfect storm: climate disruptions, geopolitical conflict, market volatility, and increasingly complex consumer demands. The best way to stay ahead? Real-time intelligence. And that’s where AI shines. AI-powered predictive analytics and real-time data processing are transforming supply chain operations — not just by reacting faster, but by anticipating disruptions before they occur. From spotting cold chain temperature anomalies in food logistics to forecasting weather-related delays or political unrest, AI is giving operations teams a new kind of foresight. It’s not just smarter logistics—it’s future-proofing. Legacy systems often can’t keep up. For organizations that want to level up, data harmonization and workforce training are critical first steps. AI is only as good as the data and teams behind it. AI’s sustainability impact is equally game-changing: optimized truck routes, reduced fuel usage, warehouse energy efficiency, and waste reduction are just the beginning. AI isn’t a “nice to have” anymore. It’s becoming the infrastructure of sustainable, resilient operations—and learning to work with it is no longer optional. #AI #SupplyChain #Sustainability #DataAnalytics #PredictiveAnalytics #DigitalTransformation #CloudComputing #LogisticsTech #SmartOperations #AIinSupplyChain #CybersecurityEducation

Artificial Intelligence is diagnosing illnesses and outperforming trained physicians in clinical reasoning. According to a recent Stanford study led by Dr. Jonathan Chen, AI chatbots like ChatGPT scored 90% in medical diagnosis accuracy—beating doctors who scored 74% without AI support and even surpassing those using AI at 76%. In complex decision-making tasks, chatbots again came out on top. The real gap wasn’t just between AI and human capability—it was between trained AI usage and untrained users. Most doctors in the study didn’t even know how to use a chatbot. That’s where the biggest opportunity lies. We’re seeing the same dynamic across industries: powerful tools exist, but without education and applied training, their value remains untapped. Whether you’re a future cybersecurity analyst or cloud architect, learning how to think with AI—not just use it—is the real differentiator. AI isn’t replacing us—it’s revealing who’s ready to evolve with it. #ArtificialIntelligence #AIinHealthcare #AIeducation #TechLearning #CybersecurityEducation #CloudSkills #AIandHumans #StanfordStudy #ChatGPT #FutureofWork

You can’t secure what you don’t understand. That’s why keeping up with emerging tech isn’t optional—it’s essential. Take the global supply chain. Companies like DHL are deploying warehouse robotics to handle physically demanding, repetitive tasks, enhancing speed and safety. These autonomous systems don’t just follow scripts—they respond to real-time data, move independently, and even track bottlenecks without added sensors. The result? Scalable operations that adapt instantly to seasonal peaks. On the customer-facing side, food delivery apps like Talabat are embracing AI to analyze behavior, make better recommendations, and personalize offers—converting passive app users into active buyers. What does all this mean for those of us focused on cybersecurity and cloud? ? Every robot, drone, and AI tool introduces new endpoints and data flows. ? These systems thrive on real-time data, which requires robust protection, monitoring, and governance. ? And as automation scales, so does the attack surface. Learning to protect these innovations means staying curious and connected to how tech is evolving across industries. Because securing the future starts with understanding how it’s being built. #CybersecurityEducation #AI #CloudSecurity #Robotics #SupplyChainInnovation #DataPrivacy #NextGenTech #LearningInTech #Infosec #DigitalSkills

?? Supply Chain Security is at a Breaking Point ?? The rules of global trade are shifting faster than ever. Tariffs change minute-by-minute, regulations evolve overnight, and cyber threats move at machine speed. Traditional security and GRC models aren't built for this level of disruption. Join us on March 27, 2025, at 7 PM ET | 4 PM PT for a two hour deep-dive into real-world security challenges and solutions with top industry leaders and experts. ?? What You’ll Learn: ? The current state of geopolitical risk and impact to supply chain security ? Why traditional GRC struggles to keep up with supply chain risk ? How ransomware actors operate inside modern supply chains ? The 8-step framework to securing critical processes ? Exclusive industry announcement— Learn more! ?? Speakers Include: ?? Mel Reyes – Executive Coach - Elite Technical Concierge ??Jenai Marinkovic – President, GRCIE ?? Dianna Walker, Michelle Nilsen, Kimberly Favela, Li Zhang, Frank Bivins, Nahum Asres – GRCIE Alumni (Magna Cum Laude) ?? Melissa Elza – Executive Director, GRCIE ?? Reserve Your Spot: grctv.eventbrite.com ?? Live on LinkedIn The supply chain is changing. Are you ready? ?? #CyberSecurity #SupplyChain #GRC #RiskManagement #AI

In cloud security, machines now talk to machines more than humans ever do. And that shift is rewriting the rules of the game. According to Sysdig’s new report, machine identities outnumber humans 40,000 to 1—and they’re 7.5x more likely to be exploited. As infrastructure becomes more dynamic and automated, every workload, API, and service account becomes a potential attack surface. Attackers don’t need a human to click a phishing link anymore. They just need an exposed token in an ephemeral container—and 60% of containers now last less than a minute. Additional insights from the report: ? AI/ML adoption surged 500%, but with a 38% drop in exposed workloads, it’s clear teams are adapting security for these systems. ? In-use vulnerabilities in production are down to just 6%, thanks to smarter patching strategies. ? The rise in open-source tools like Falco shows community-led solutions are now enterprise-grade. But beware: attackers also use open-source tools. Malware is now as easy to find as any GitHub repo. You can’t protect what you can’t see—and in the cloud, that means full observability of machines, containers, and ephemeral workloads is non-negotiable. #CloudSecurity #CyberThreats #MachineIdentities #DevOpsSecurity #ContainerSecurity #Falco #OpenSourceSecurity #AIsecurity #SysdigReport

For parents of children with autism, time is everything. But the average wait for therapy can be up to 2 years. That’s the problem Frontera Health set out to solve—with AI. Their tool, now in pilot testing, uses digital phenotyping to analyze audio and video of therapy sessions. It picks up patterns that might take clinicians hours—or days—to detect. Instead of replacing therapists, this AI speeds up what they already do best: ? Reviewing behavior ? Spotting developmental trends ? Creating tailored plans for each child The system is built to support—not replace—therapists. It’s human-in-the-loop AI in action. Trained clinicians guide the AI’s learning, interpret the results, and make the final call—ensuring empathy and expertise stay at the center. Even better? It’s built to work on common mobile devices, so families and clinics don’t need expensive equipment to benefit. According to the founders, the tool could one day handle 10–15 sessions per hour. That’s not just faster—that’s more kids getting help, sooner. Tech like this shows how AI can do more than automate—it can amplify. #AI #AutismCare #DigitalPhenotyping #Innovation #MachineLearning #HealthcareTech #TechForGood #HumanInTheLoop #AIthatCares #NeurodiversitySupport

AI is now tending vineyards. California winemakers are using autonomous tractors and machine learning to do more than just reduce manual labor. They’re mapping fields, monitoring water use, detecting plant diseases, and even predicting wine yield with remarkable accuracy. The takeaway? AI thrives when it’s solving complex, unpredictable problems—like farming. ? Precision farming uses real-time data to decide when to water, spray, or harvest. ? AI-driven yield prediction helps vineyards plan labor and supplies months in advance. ? Autonomous machines reduce pollution and boost sustainability by only spraying where needed. And this isn’t about replacing humans. Instead, it’s shifting roles—tractor operators are becoming tech supervisors, and farmers are becoming data-informed strategists. For those learning about cloud, AI, and automation, this is a perfect case study in applied intelligence. AI doesn’t just need code. It needs context. And in vineyards, it’s getting a taste of both. #AIInTheField #MachineLearning #SmartFarming #AgriculturalTechnology #CloudApplications #Automation #CybersecurityLearning #DataDrivenDecisions #TechInAgriculture #TechEducation