We can spot potential vulnerabilities in our system design by thoroughly assessing areas where data is handled, transmitted, or stored. This includes analyzing access controls, encryption methods, and data flow patterns to identify weak points where unauthorized access or data leaks might occur. We can also implement regular security audits, run penetration testing, and review code to catch overlooked issues. Additionally, monitoring for unusual activity and adopting the principle of least privilege can help ensure only necessary access is granted, reducing the risk of breaches.

To spot potential vulnerabilities in a system design, one can start by reviewing areas where data is stored, processed, and transmitted.We can Look for weak points in - authentication (like weak passwords or no multi-factor authentication) - unencrypted data flows - outdated software - excessive user permissions. one shoud regular conduct regular code tests,reviews and vulnerability scans specially checking your API endpoints, as these can often be overlooked entry points for attackers. Finally, keeping an eye on access logs for any unusual activity can be helpful in identifying discrepancies.

Finding any weaknesses in system architecture necessitates a proactive and comprehensive approach to data security. - Perform frequent vulnerability evaluations and security audits. - Employ automated technologies to detect and monitor threats in real time. - Use penetration testing to find vulnerabilities. - Strict access control procedures should be implemented in order to reduce insider threats. -Analyze third-party integrations for security and compliance requirements. -Review data flow to identify unreliable transmission routes. -To reduce exposure to known exploits, keep all software and dependencies up to date.

Securing Sensitive Data in New Development: * Map data flows to identify PII or sensitive data. * Avoid dependency on unencrypted, sensitive data at rest. * Mask sensitive data in logs. * Restrict analytics access to essential users and set time limits. * Encrypt all new data at rest. Key Audit Areas to Address Vulnerabilities: * Scan database schemas for unencrypted PII. * Use linters to flag sensitive data logging without masking. * Audit logging/monitoring systems for data leaks. * Review access to sensitive data, secrets, and systems for risk management.