RBAC is of three types: Constrained RBAC Hierarchical RBAC Core RBAC Constrained RBAC needs Separation Of Duties (SOD) SOD reduces the possibility of fraud, accidental damage Government agencies use this to manage complex data access needs Hierarchical RBAC requires supporting role hierarchies It includes two sub-levels: General Hierarchical RBAC Restricted Hierarchical RBAC This segment is expected to boom with the rising use of IoT devices and edge computing It is mostly found in healthcare Core RBAC system adopts intricate and detailed access control policies. It is used in financial institutions The prominent trend is the fusion of Identity Governance and Administration (IGA) platforms with RBAC solutions

Role-Based Access: Limit data access to necessary roles; apply the least privilege principle. Multi-Factor Authentication: Use MFA and Single Sign-On to secure access while keeping it user-friendly. Continuous Monitoring: Real-time logging and AI-driven anomaly detection identify unusual access. Data Encryption: Encrypt data at rest and in transit; secure key management ensures protection. Zero Trust Architecture: Always verify access requests and use network segmentation. API Gateways and Token-Based Access: Secure APIs with tokens and filtering for controlled access. Automated Audits: Regular access audits ensure compliance and catch unauthorized access. User Training: Educate users on security to prevent errors and encourage vigilance.

Real time data usage can be through multiple devices and from multiple IPs. Multi factor authentication along with device identification for fraud detection will add a layer of security nudging the user that he/she has logged in from a new device and/or from a new place. Besides this, RBAC would be critical to ensure only the required data is visible. Ensure to mask data and Prompt for an one time password based authentication to view the masked data. Fraud detection is important to prevent unwanted intruders. AI can help with fraud detection, pattern matching and recognize past behaviours. Any change to that can prompt the user to verify. We should continue to audit every month on various KPIs and metrics

It’s a careful balance. Using advanced encryption for data in transit and at rest, implementing robust access controls with multi-factor authentication, and deploying real-time threat monitoring systems are crucial. What’s really key is crafting a dynamic, adaptable security policy that responds to new threats as they emerge. And don’t forget about regular security audits and staff training.

Implementing global certification standards such ISO 27001:2022 are very good way as they cover the entire gamut of possible compromise and also help an organisation have a standardised proof of compliance and real-time security management.

Here are my some recommendations to secure data in real-time accessing 1. Implement RBAC : Grant access to only those users who need it for their role. 2. Data Masking : Mask sensitive data in real-time to users who don’t need full access, showing only what's necessary. 3. Data Segmentation : The process allows you to map your data and identify who requires access, what specific information they need when needed, and the appropriate method for accessing that data.

Balancing data security with accessibility is like walking a tightrope, but it's essential for business intelligence success! 🎯 Here are three key insights: 1) Implement role-based access controls to ensure only the right people can access sensitive data. 2) Use encryption to protect data both at rest and in transit. 3) Regularly audit and update your security protocols to adapt to new threats. Think of it like coaching a sports team—constant vigilance and adaptation are key to winning the game! 🏆

Some of these strategies, you can create for a secure environment that allows for real-time data access while minimizing risks associated with data breaches and unauthorized access. 1. In Transit: Use protocols like TLS/SSL to encryption. 2. At Rest: Encrypt sensitive data stored on servers and databases. 3. (RBAC): Implement RBAC to ensure users can only access data necessary for their role. 4. Least Privilege Principle: Limit access rights for users to the bare minimum required to perform their jobs. 5. MFA: Require multiple forms of verification 6. SSO: Simplify user access while maintaining security by using SSO. 7. Intrusion Detection Systems (IDS): Monitor for unauthorized access attempts and respond in real-time.

Document and implement the following details. Role-based access control, using Windows Active Directory, on Windows platforms. Regular validation of what accounts require access to what data and what kind of access. Passwords regularly changed. Ensure data is protected based on criticality, to avoid waste of resources during the data accessing, implementing backup\recovery and High Availability. Data needs regular pruning and archival based on business\legal requirements. Implement encryption for data in transit and at rest, based on the types of data. Ensure all systems and applications utilized in the data pipeline are appropriately patched regularly based on application(s) support restrictions and vendor(s) recommendations.