Balancing data security and performance involves using efficient encryption selectively, applying role-based access, and prioritizing controls for only the most sensitive data. Network segmentation and fast protocols, like TLS 1.3, add security with minimal performance impact. Regular testing further helps identify and mitigate any bottlenecks, creating a secure system that stays fast.

To balance data security and performance: 1. Efficient Code: Optimize security functions, minimizing redundant operations to avoid performance lags. 2. Automated Updates: Use automated patching with phased rollouts to secure without disrupting service. 3. Hybrid Infrastructure: Store sensitive data on-premises while offloading performance tasks to the cloud. 4. Adaptive Security: Apply risk-based authentication, enabling security only when necessary. 5. Data Caching: Cache frequently accessed data to reduce load and improve speed. This approach maintains strong security while ensuring a responsive system.

Caching and tokenization are key to balancing data security and performance. Caching encrypted data minimizes repeated encryption-decryption, enhancing speed. Tokenization replaces sensitive data with tokens, reducing the need to process or transmit actual sensitive information. This protects data while keeping performance high, as systems handle lightweight tokens rather than complex encryption cycles.

By just following the Secure SDLC flow: 1. Requirements 2. Design 3. Development 4. Testing 5. Deployment 6. Maintenance By embedding security directly into each phase with performance conscious strategies, we can create a system that is both secure and high-performing

I’d start by defining security as an integral part of the architecture—rather than an add-on. One tip could be: Regular Audits & Testing: Continuous monitoring with regular security and performance testing helps quickly identify and mitigate any vulnerabilities that could impact either security or performance.