Best Practices

Securing AI applications requires layered defenses and proactive monitoring. Vaikora best practices guide you through defense in depth strategies, environment-specific configurations, and testing patterns that protect against runtime threats.

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Defense in Depth

Layer multiple security controls across your AI stack rather than relying on a single mechanism. Combine Vaikora's threat detection with application-level guards, API authentication, and input validation for comprehensive protection.

Environment-Specific Policies

Deploy different security policies for development, staging, and production environments. Stricter rules in production catch threats earlier while permissive policies in dev allow testing and iteration without friction.

API Key Hygiene and System Prompt Protection

Rotate API keys regularly, store them in secure vaults, and never commit credentials to version control. Protect system prompts from injection by validating user input and using Vaikora's content filtering to enforce guardrails at the gateway.

Monitor, Alert, and Test Regularly

Enable audit logging and set up alerts for suspicious activity patterns. Run regular security tests and red-team exercises against your AI application to identify gaps before threats reach production.

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