Good everyone. This is Sui. It's a pleasure to be here today to talk about AI Power Cloud security for Comm 42 and how Golang based solutions are transforming security for Microsoft Azure Cloud platform. What is Golan? Colan is an open source programming language developed by Google in 2 0 9. It is designed to be fast, efficient, and scalable, making it ideal for cloud computing, networking, and realtime applications. Some of the key features of Golang Fast performance, it compiles directly to machine code, making it faster the interpreted language like Python, optimized for low latency applications. Example, realtime security merchant and support uses geo routings to handle multiple tasks simultaneously. Perfect for throughout applications like AI powered threat detection, and it has a memory. Efficience includes automatic garbage collection for optimized memory use, helps to process large amounts of security data without performance issues. The cloud security challenge. As business continue to adopt cloud computing, security remains one of the biggest challenge. The expanding attack surface means, traditional security to struggle to keep up with the real-time threats. Attackers are getting more sophisticated and the operational cost of security incidents is skyrocketing. This is why we need intelligent adapt to security frameworks such as AI driven solutions to respond instantaneously and in mitigate risk efficiently. Data driven security improvements. AI powered security isn't just concept, it's delivering real results, like 64% increase in the threat detection accuracy, 57% reduction in response time, 43% lower operational cost. And 18.5 million security when sponsors by leveraging AI security teams can detect threats faster, respond proactivity, and reduce manual workload while cutting the cost advanced persistent threat, which is called a PT detection, signature based detection method phase to identify advanced persistent threats because they evolve beyond known attack patterns. Traditional security solution rely on static rules, which struggle to keep up with sophisticated attacks. Our Golan AI solution, however, uses machine learning to identify APTs with 96.42% accuracy. It continuously adopts to emerging threats and using behavioral analysis to detect suspicious patterns in milliseconds, allowing instant containment. No attack pattern detection. Security threats are always evolving. Our AI driven security solution continuously learns and adapt to detect new attack vectors through 24 bar zone monitoring across all Azure resources, pattern recognition that detects anomalies. Automated response that deploys countermeasures in milliseconds self-learning algorithm that improve at every security event. This is real time adaptability. Ensure that even never before seen threats are detected and neutralized interest initially. Performance at scale Secure solution must be fast, scalable, and efficient. Our goal and based security framework process 12,000 security requests per second real time parallel threat analysis using Golan concurrency model distributed architecture across multiple Azure regions. For zero downtime production, this ensures lightning fast threat detection without impacting system performance. You are under heavy workloads. Implementation architecture. Here is how we process security data in real time. First one is data collection. We ingest Azure logs telemetry and user active data. Second, we pre-process, we enriched the data using threat intelligence and parallel processing. In Golan third process machine learning analysis, we apply AI models like generative models with 90%, 96% accuracy to detect analysis and declassify threat For process response orchestration, we automate third containment within milliseconds, ensuring minimal disruption. Quantum security feature security threats are evolving and quantum computing will bring both challenges and opportunities. Our next generation AI security solutions are integrating like quantum enhanced pattern recognition. Which improves attack detection by 47 percentage. Second is predictive threat analytics. Forecasting attacks with 63% more accuracy and quantum resistance cryptography, ensuring encryption remains secure against future quantum attacks. By adopting quantum driven AI security, we are preparing for the next era of cybersecurity. Implementation roadmap to help organization adopt AI powered security. We follow a structured roadmap assessment, identifying security gaps and ities. Second pilot deployment, implementing AI security for critical workloads. Third, full integration, expanding protection to all Azure resources. Fourth, continuous optimization, fine tuning security models with live threat intelligence. Key takeaways To summarize AI powered Golan security solutions software. Unmatched performance processing, 18.5 million. Security actions daily. A dwell protection, which is 96.42% a PT detection accuracy, and 63% improvement in novel threat detection. Third, significant cost savings, 43% lower operational expenses with 89% of users reporting improved confidence in cloud security. Final thoughts. The future of cloud security lies in AI driven, adaptive and scalable solution. By integrating Golang based AI models into Microsoft Azure Cloud platform like security framework, we are not just detecting with threats. We are also satisfying ahead of. Time to protect the resources and the data. Thank you. I look forward to your questions.