Cyber risk is no longer just an IT problem - it is a boardroom priority. Yet many mid-sized and growing organizations face a difficult reality: - Threats are increasing - Compliance requirements are expanding - Customers are demanding security assurance But hiring a full-time CISO is expensive and often unjustifiable In India and globally, a seasoned Chief Information Security Officer can cost ₹1.2 Cr – ₹3 Cr annually when you factor in salary, benefits, tooling, and support structure. For many organizations, that investment simply does not align with their current scale. This is exactly where the Virtual CISO (vCISO) model is transforming the market. 🔍 What a Modern vCISO Actually Delivers A mature vCISO is not just an advisor who shows up for quarterly reviews. Done right, it provides continuous, structured cyber governance: ✅ Continuous risk visibility ✅ Compliance posture tracking ✅ Incident readiness ✅ Vendor risk oversight ✅ Executive-level reporting ✅ Security roadmap aligned to business growth The key shift is moving from periodic consulting to continuous security leadership as a service. 💰 The Cost Advantage Is Significant Let’s look at a typical comparison: - Full-Time CISO ₹1.2 Cr – ₹3 Cr per year - Additional team costs - Tooling overhead - Limited scalability AI-Enabled vCISO (Modern Model) - Fraction of the cost - Scales with business size - Continuous monitoring - Automated evidence collection - Faster audit readiness For many mid-market firms, this translates to 60–70% cost optimization while improving security maturity. 🧠 The TerraAmp Perspective At TerraAmp Innovations, we believe the next evolution of cyber leadership must be: - Continuous - Intelligence-driven - Context-aware - Automation-assisted - Business-aligned Our vCISO platform is designed to give organizations enterprise-grade security governance without enterprise-grade overhead. Because in today’s threat landscape, the real question is no longer: “Can we afford a CISO?”

An on‑premises coding AI workflow with no API fees & no limits! What if you could wield Anthropic’s Claude Code CLI at home - offline, unlimited, and completely free - by plugging it into Ollama’s local model runner? I'm using by combining Claude Code with Ollama’s open‑source Qwen3‑coder:30b (local) model to build our own on‑prem coding assistant. No cloud API keys. No surprises on your bill. Just fully local AI power. Why Go Local? Zero fees, zero lock‑in, Zero Exposure. Once you download the model, every inference is free and yours forever - no per‑token charges, no rate limits. Privacy & compliance. Your code, data, and prompts never leave your machine. Great for sensitive projects and regulated environments. Offline & resilient No internet, no problem. Use Claude Code even in flights, secure facilities, or remote locations. Requirements: Ollama installed for local model execution and Claude Code CLI installed (Anthropic’s open‑source terminal app) By bridging Claude Code with Ollama’s Qwen3‑coder model, you unlock a fully offline, cost‑free coding assistant that lives entirely on your hardware. No more API bills, latency spikes, or vendor lock‑in. Give it a try, share your experiences, and let’s build with freedom! I'm using qwen3‑coder-30b model, and it is upto you to choose the right model. If you guys need a run-book, ping me. I'm happy to share it with you.

Medical clinic. Patient fills intake form. Someone types it all into system. Allergy information buried on page 3. Built intake processor. Critical allergies trigger instant alert. Different Slack channel. Staff knows immediately. THE HEALTHCARE DOCUMENTATION RISK: Penicillin allergy on form. Nurse doesn't see it until patient is in room. Doctor almost prescribes it. Near miss. Documentation existed. Wasn't surfaced fast enough. THE DISCOVERY: Document extraction pulls complete patient information. Code checks allergies against critical list. Different routing based on severity. Critical allergies go to urgent channel. Everyone sees it. THE WORKFLOW: Google Drive trigger watches intake forms → Download PDF → Document extraction pulls patient info, insurance, medical history, medications, allergies → Code processes and checks for critical allergens → Sheets creates patient record → IF checks critical allergy → TRUE: Slack urgent channel alert → FALSE: Slack routine intake notification. 8 nodes. HIPAA-aware design. THE CRITICAL ALLERGY DETECTION: Code maintains critical allergen array: penicillin, sulfa, latex, iodine, aspirin, nsaids. Patient allergy list checked against array. Any match triggers urgent routing. Different Slack channels: #critical-alerts vs #patient-intake. Staff knows the difference. THE DATA EXTRACTION: JSON Schema captures: Patient info (name, DOB, contact), insurance details, medical history, current medications with dosages, allergies with reaction severity, emergency contact, reason for visit. Code calculates age from DOB. Formats medications list. Flags "NKDA" if no allergies. THE TRANSFORMATION: Before: Manual data entry. Allergy information buried. Near misses happen. After: Automatic extraction. Critical allergies surfaced instantly. Staff prepared. THE NUMBERS: 200 intake forms monthly 6 critical allergens monitored Instant alert on match Data entry: 15 minutes → 2 minutes review HIPAA NOTE: Self-hosted n8n recommended for PHI.

In this video, I show you how I built a self-healing automation system using n8n and Claude Code. Whenever one of my n8n workflows throws an error, it automatically triggers an error workflow that calls Claude Code. Claude then uses its n8n MCP server to audit the broken workflow, understand what went wrong, and fix it, all without any manual intervention. I just get a notification that the error was caught and resolved. The next time the workflow runs, it works perfectly because Claude already patched it. It's like having an AI engineer on call 24/7 to maintain your automations.

I turned Clawdbot into my 24/7 executive assistant, and in this video, I'm showing you exactly how to do the same. After spending 100+ hours refining this setup, I've built a system where my Clawdbot, Klaus, proactively manages my tasks, checks in on what I'm working on to offer help, and even builds things while I sleep. I walk you through the custom dashboard I use to track everything it's doing, share the exact setup you can copy, and reveal the hacks I've discovered along the way that most people miss.