Supply Chain Management

A border officer won’t accept a photo of your passport. Your bank builds identity decisions from one every day 😳 That's the foundation of online identity verification in 2026. A process designed for in-person checks, duct-taped onto the internet. And it's breaking. Deepfakes now pass liveness checks. Synthetic identities clear onboarding flows. The selfie-plus-document model is done. Governments see it. That's why they're building something different: → 36% of Europeans already use government-backed eIDs → 80% of EU citizens will carry a Digital Identity Wallet by 2030 → eIDAS 2.0 mandates banks, insurers, and telecoms to accept them But here's the problem nobody talks about: there are 150+ eID schemes worldwide. Different standards. Different assurance levels. Different specs. A fintech operating across 10 EU markets needs 10 separate integrations. That doesn't scale. This is exactly where payments were before Visa and Mastercard built the network layer. Identity needs the same thing. That's what Hopae is building - a single integration into 100+ government-backed digital identity schemes globally. The Visa layer, but for identity. They built a 2-minute assessment to get your personalised compliance readiness score instantly. Get your score here: https://lnkd.in/djCqip95 Most organisations think they have until 2027 to sort this out. They're wrong. The deadline is 2027, but the infrastructure decisions are happening right now. Payments got their network layer, and it changed everything. Identity is next. The only question is whether you're building on it or scrambling to catch up.

AI security/securing the use of AI is going to kill me. I use Claude Code almost daily. It's a problem.... Here's what I have to change AGAIN this week. Security researcher Ari Marzuk disclosed 30+ vulnerabilities across AI coding tools. Cursor. GitHub Copilot. Windsurf. Claude Code. All of them. He called it IDEsaster. The attack chain includes prompt injection, hijacking LLM context, and auto-approved tool calls executing without permission. Then, legitimate IDE features are weaponized for data exfiltration and RCE. Your .env files. Your API keys. Your source code. Accessible through features you thought were safe. Most studies I read claim that around 85% of developers now use AI coding tools daily. Most have no idea their IDE treats its own features as inherently trusted. 𝗦𝗼... 𝗮𝗳𝘁𝗲𝗿 𝗿𝗲𝘃𝗶𝗲𝘄𝗶𝗻𝗴 𝗔𝗿𝗶'𝘀 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵, 𝗵𝗲𝗿𝗲'𝘀 𝗜 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗱𝗼𝗶𝗻𝗴... Be warned: All this is SO much easier said than done! Audit every MCP server connection. Checked for tool poisoning vectors where legitimate tools might parse attacker-controlled input from GitHub PRs or web content. Removed servers I couldn't verify. Disabled auto-approve for file writes. The attack chains weaponize configuration files and project instructions like .claude/settings.json and CLAUDE.md. One malicious write to these files can alter agent behavior or achieve code execution without additional user interaction. Move all credentials to a secrets manager. No .gitignored .env files in agent-accessible directories. API keys live in 1Password CLI. Environment variables inject at runtime through a wrapper script the LLM never sees. Start running Claude Code in isolated containers. Mounted volumes limited to specific project directories. No access to ~/.ssh, ~/.aws, or ~/.config. If the agent gets compromised, blast radius stays contained. Enable all security warnings. Claude Code added explicit warnings for JSON schema exfiltration and settings file modifications. These exist because Anthropic knows the attack surface. Add pre-commit hooks for hidden characters. Prompt injections hide in pasted URLs, READMEs, and file names using invisible Unicode. Flag non-ASCII characters in any file the agent might ingest. The fix isn't to stop using AI coding tools. The fix is to stop trusting them implicitly. What controls do you have for AI tools with write access to your codebase? 👉 Follow for more AI and cybersecurity insights with the occasional rant #AISecurity #DevSecOps

The Future of Footwear Isn’t Manufactured — It’s Fabricated Around You. Would you use this one? 🔮 The next wave of manufacturing is emerging NOW: Global 3D-printed footwear market: $1.5B in 2024 Projected $9.1B by 2032 (CAGR 24%+) Custom-fit footwear adoption: Expected to reach 18–22% of all athletic footwear by 2030 Returns due to sizing could drop by 65% Inventory waste down 70–90% AI-driven design: Cuts product development time from 18 months → 2–6 weeks Reduces prototyping costs by up to 60% Material breakthroughs: Programmable flexible polymers that “remember” shape Bio-based materials with 40% lower CO₂ emissions High-speed resin printers now producing midsoles in under 20 minutes 👣 What the “sneaker pod” symbolizes: AI biomechanics: >50,000 data points per scan Real-time fit optimization: compression, arch, pressure mapping On-demand micro-factories: 80% smaller footprint than a normal shoe line Localized production: 1 pod = 500–700 shoes per month Zero stock model: supply chain cost reduction of up to 35% 🔥 The next decade will bring: Shoes that self-form and auto-tighten based on your movement Retail stores replaced by autonomous fabrication pods Hospitals generating custom orthotics in under 10 minutes Sports brands using AI motion capture + 3D print for athlete-specific gear Hyper-personalized products built directly from your biometric signature We are nearing an era where products manufacture themselves around the user. AI, robotics, and material science are converging into a new industrial model — one where fit is perfect, waste is minimal, and every consumer becomes their own production line. The question is no longer if. It’s who builds it first — and how fast everyone else follows. #FutureTech #AIInnovation #AdvancedManufacturing #3DPrinting #FootwearInnovation #Biomechanics #RetailTech #SmartMaterials #TechTrends #NextGenTechnology

🚛 WHEN TRANSPORT LEARNS TO THINK GREEN I came across a concept today that stopped me — an autonomous hydrogen truck-trailer drone designed for long-distance freight. At first, it looked like another futuristic vehicle. But then it hit me: this isn’t just transport evolving — it’s intent evolving. For decades, we’ve designed logistics around speed and scale. Now we’re finally designing around sustainability. This new concept merges autonomy, aerodynamics, and hydrogen power to do something radical: → Eliminate carbon emissions in heavy freight. → Cut operational energy costs through intelligent routing. → Reduce highway congestion with coordinated drone convoys. It’s not just engineering — it’s a shift in philosophy. A move from moving faster to moving responsibly. We often talk about “green tech” as a feature — but the real shift happens when sustainability becomes the invisible infrastructure behind innovation. It’s not an addition to progress. It is progress. What’s needed now isn’t more invention — it’s integration. We need to: ✅ Build networks where clean energy and automation reinforce each other. ✅ Redefine “efficiency” to include environmental balance. ✅ Shift from carbon offsetting to carbon prevention at design level. Because the next breakthrough won’t come from faster engines — but from systems that make waste impossible by design. That’s when technology stops being an experiment in innovation… and becomes an expression of intelligence. So here’s the question I keep returning to — 👉 Will the next era of transport be powered by fuel — or by foresight? #Innovation #Sustainability #Hydrogen #AutonomousVehicles #GreenTech #Logistics #FutureThinking