Advanced Security Architecture Modelling: Integrating SOA, IoT, SCADA, and SABSA ➡️ Agenda for the Session 👉 Introduction to Security Architecture Modelling 👉 Service-Oriented Architecture (SOA) and Security 👉 IoT Devices: Securing the Expanding Ecosystem 👉 SCADA Systems and Critical Infrastructure Protection 👉 The SABSA Model: A Business-Driven Security Architecture 👉 Integration and Best Practices 👉 Q&A and Discussion Watch Here: https://www.youtube.com/watch?v=fI1JkHBxZlk #AdvancedSecurity #SOA #IoTSecurity #SCADA #SABSA #InfosecTrain #CybersecurityArchitecture #SecurityModelling #ITArchitecture 

Advanced Security Architecture Modelling: Integrating SOA, IoT, SCADA, and SABSA ➡️ Agenda for the Session 👉 Introduction to Security Architecture Modelling 👉 Service-Oriented Architecture (SOA) and Security 👉 IoT Devices: Securing the Expanding Ecosystem 👉 SCADA Systems and Critical Infrastructure Protection 👉 The SABSA Model: A Business-Driven Security Architecture 👉 Integration and Best Practices 👉 Q&A and Discussion Watch Here: https://www.youtube.com/watch?v=fI1JkHBxZlk #AdvancedSecurity #SOA #IoTSecurity #SCADA #SABSA #InfosecTrain #CybersecurityArchitecture #SecurityModelling #ITArchitecture #CriticalInfrastructureSecurity #infosectrain

Stages of data lifecyce Data is a valuable asset that goes through various stages. Understanding each phase ensures better data management, security, and compliance. Here’s your quick guide! 👇 1 . Data Creation/Collection Data is generated from various sources like user interactions, IoT devices, social media, etc. Key Point: Ensure hashtag#accuracy and hashtag#relevance to avoid “garbage in, garbage out.” 📊 2 . Data Storage Data is stored in hashtag#cloud, hashtag#on-premises , or hashtag#hybrid environments. Key Point: Prioritize hashtag#security (encryption, backups) and ensure hashtag#compliance with regulations. 🛡 3. Data Usage Data is processed and analyzed to extract valuable insights. Key Point : Implement hashtag#rolebasedaccess and enforce hashtag#governancepolicies for secure use. 🔍 4 . Data Archiving Move less-used data to hashtag#lowcoststorage solutions. Key Point: Keep data hashtag#secure while optimizing hashtag#storagecosts. 💾 5 . Data Destruction Securely delete data when it’s no longer needed. Key Point: Ensure hashtag#compliance and prevent recovery by using hashtag#securedeletionmethods. 🗑 🔥 Properly managing the hashtag#DataLifecycle not only ensures compliance but also improves hashtag#security, hashtag#efficiency, and hashtag#cost management . #DataLifecycle #DataManagement #DataSecurity #DataGovernance #DataStorage #DataCompliance #TechTips #DataProtection #DataPrivacy #InfoSec #infosectrain #learntorise

Data is a valuable asset that goes through various stages. Understanding each phase ensures better data management, security, and compliance. Here’s your quick guide! 👇 1 . Data Creation/Collection Data is generated from various sources like user interactions, IoT devices, social media, etc. Key Point: Ensure hashtag#accuracy and hashtag#relevance to avoid “garbage in, garbage out.” 📊 2 . Data Storage Data is stored in hashtag#cloud, hashtag#on-premises , or hashtag#hybrid environments. Key Point: Prioritize hashtag#security (encryption, backups) and ensure hashtag#compliance with regulations. 🛡️ 3. Data Usage Data is processed and analyzed to extract valuable insights. Key Point : Implement hashtag#rolebasedaccess and enforce hashtag#governancepolicies for secure use. 🔍