AI Data Privacy: Building GDPR-Compliant AI Systems
Implemented GDPR-compliant AI system - data anonymization, right to deletion, audit trails. Passed compliance audit with 100% score
9 posts
Implemented GDPR-compliant AI system - data anonymization, right to deletion, audit trails. Passed compliance audit with 100% score
Using GPT-4 for security audits - found 34 vulnerabilities including SQL injection, XSS, and auth bypass in production code
Security considerations for AI applications, including prompt injection prevention, data privacy, and secure API usage.
Comprehensive guide to securing Kubernetes clusters in production, including RBAC, network policies, secrets management, and security scanning.
Implementing effective API rate limiting using Redis, token bucket algorithm, and distributed rate limiting across multiple servers.
Upgraded to Redis 6.0 - implemented ACL for multi-tenant security, SSL/TLS encryption. Eliminated security vulnerabilities, zero breaches
Implementing zero-trust networking in Kubernetes using Network Policies, including real-world examples and common pitfalls
Hardening Docker images for production by using minimal base images, scanning for vulnerabilities, and following security best practices
How I used Docker 17.05's multi-stage builds to create smaller, more secure production images