Generative AI systems demand precise data handling. The models learn from prompts, responses, and metadata. Without strong data controls, that stream can leak sensitive information or violate compliance. Implement explicit policies for data retention, audit logging, and access scopes. Control training data ingestion so only approved sources feed the model. Segment storage for raw inputs, processed outputs, and prompt logs. Force encryption not just for storage, but everywhere data moves.
TLS configuration is the front line for secure transport. Weak ciphers or expired certificates are open doors. Use TLS 1.2 or higher, disable outdated protocols, and set strong cipher suites. Enable forward secrecy to prevent captured traffic from being decrypted later. Pin certificates when possible, and monitor for expiration with automated alerts. Test your endpoints: run them through SSL scanning tools until no warnings remain.
Data controls and TLS work together. Generative AI will hit APIs, stream files, and handle real-time prompts. Without hardened transport and tight data governance, every request is a potential breach. Treat configuration drift as an active threat—scan configs regularly, enforce through code, and deploy with secure defaults baked into your CI/CD pipeline.