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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

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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. 🔍

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IoT security best practices are essential for safeguarding devices and networks against cyber threats in the rapidly expanding Internet of Things (IoT) ecosystem. Key practices include strong authentication and access control to ensure that only authorized users and devices can access the IoT network. This involves using robust passwords, implementing multi-factor authentication, and regularly updating credentials. Device and firmware updates are crucial, as manufacturers often release patches to fix security vulnerabilities—keeping devices up-to-date minimizes potential attack vectors.

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