1. Role-Based Access Control (RBAC): Limit data access to only what stakeholders need based on their roles. 2. Data Encryption: Encrypt data at rest and in transit 3. Auditing and Monitoring: Track data access with logs and real-time alerts for unauthorized activity. 4. Multi-Factor Authentication (MFA): Require MFA to secure accounts accessing sensitive data. 5. Data Masking: Share anonymized or obfuscated data where full access isn’t necessary. 6. Granular Access Policies: Define detailed access rules based on user roles, data sensitivity, and context. 7. Zero Trust Architecture: Verify every access request dynamically based on behavior and risk level. 8. Data Governance: Implement policies for data classification, usage, and retention.

Excellent post! I'd like to add a few more Zero Trust Architecture. It's like treating everyone as potential threat,including inside your network.Every access request gets scrutinized, no matter where it's coming from. Data Masking -It's like giving someone a redacted document - they can see the overall picture without accessing the sensitive bits. It's perfect for testing environments or when you need to share data with third parties. Multi-Factor Authentication- It's like adding an extra deadbolt to your door. Even if someone cracks the password, they still can't get in without that second factor. We've seen a significant drop in unauthorized access attempts since implementing MFA.

Balancing increased data access with stringent security requirements is a complex challenge that requires careful consideration... Implement role-based access control: Grant access to data based on users' roles and responsibilities. This ensures that only authorized individuals can access sensitive information. Use data masking and anonymization: Protect sensitive data by masking or anonymizing it before sharing it with users who do not need access to the underlying details. Use modern data platforms: Use modern data platforms such as Databricks to implement robust security measures, such as fine-grained access control, encryption and auditing. Tools such as Unity Catalog can further improve data management and security.

Building on the mentioned strategies, I would add the importance of implementing a zero-trust security model. By verifying every access request regardless of user role or location, you add an additional layer of protection. In my experience, leveraging tools like data masking can further secure sensitive information while still granting stakeholders the visibility they need for decision-making. Lastly, providing stakeholders with tailored dashboards or aggregated views reduces unnecessary access to raw data, striking a balance between usability and security.

Balancing stakeholders' demand for increased data access with the necessity of maintaining strict security is a critical challenge. Implementing robust strategies ensures that data remains protected while authorized users have the access they need. 1. Implement Role-Based Access Control (RBAC) 2. Enforce the Principle of Least Privilege (PoLP) 3. Utilize Data Encryption 4. Conduct Regular Audits and Monitoring 5. Implement Multi-Factor Authentication (MFA) 6. Educate Employees on Data Security

In my experience, empowering stakeholders with greater data access can be transformative when balanced with strong security through self-service role-based access control (RBAC) and a clear data ownership model linked or mapped to the company organization chart. As far as the stakeholder holds the HR designation with data definition mapped, access is auto-granted on the fly. On the other hand, the stakeholder can request access using a self-service model. This needs proper data architecture design from the start, enabling technology, data ownership culture, and continuous change management. The result would be self-running ops with minimal administration work.

To balance data access with security, use granular access controls to limit data based on roles. Encrypt data at rest and in transit, and implement secure API gateways. Regularly review and audit access rights, and require secure VPNs for remote access. Use DLP tools to prevent data leaks and IAM solutions to manage permissions. Employ advanced threat detection tools to spot anomalies, integrate security by design into workflows, and educate users on secure data practices.

I’ve learned although it is undoubtedly a priority it’s not just about implementing controls like role-based access or encryption, but about maintaining an open dialogue with teams to adapt solutions to real needs without compromising data protection.

Classify data based on sensitivity and grant access only to what is necessary for their role. Use role-based access controls (RBAC) to ensure permissions are clear and monitored. Implement encryption for sensitive data both at rest and in transit to prevent unauthorized access. Regularly audit access logs to identify and address potential risks. Communicate security protocols to stakeholders to build trust while safeguarding the system. This ensures access needs are met without compromising data security.

Is it a nice to have advantage or a buisness need? I wish I had many things as well but policy and security comes first .....so learn to say no.