@itlandytech: Securing AI Doesn’t Have to Break the Bank 🛡️ Deploying AI is no longer just about speed it’s about trust, safety, and compliance. If your team is scaling AI workloads but you aren't sure how to properly secure them, you don't need to reinvent the wheel (or spend a fortune). As shown in image_2.png, tech leaders and regulatory bodies have established 6 Free AI Security Frameworks to protect your infrastructure: Microsoft Copilot Security Architecture: A robust, 7-layer blueprint covering everything from network security to data governance. AWS CAF (Security Perspective): Perfect for bridging the gap between traditional cloud security and modern AI workloads. Google Secure AI Framework (SAIF): An end-to-end framework focusing on three core pillars: Prepare, Build, and Deploy. NIST AI Risk Management Framework: The gold standard for balancing governance (strategy & policy) with technical execution (measuring & mapping). OWASP Top 10 for LLM: Your go-to checklist for mitigating critical vulnerabilities like prompt injection and training data poisoning. Google Cloud Well-Architected AI Security: A deep-dive shield offering defense-in-depth across identity, data protection, and infrastructure. Whether you are an engineer, a CISO, or a product owner, securing your data is a Day 1 priority. Which of these frameworks is your team currently leveraging? 👇 #AISecurity #CyberSecurity #GenerativeAI #CloudSecurity #TechLeadership

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Monday 08 June 2026 09:52:14 GMT