Last year, we trained a model on customer data. A researcher showed they could reconstruct customer information from model outputs. After implementing privacy-preserving techniques across 10+ projects, I’ve learned how to protect sensitive data while enabling AI capabilities. Here’s the complete guide to privacy-preserving AI. Figure 1: Privacy-Preserving AI Techniques Overview Why Privacy-Preserving AI Matters: […]
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AI Governance Frameworks: Implementing Responsible AI
Three years ago, our AI system made a biased hiring decision that cost us a major client and damaged our reputation. We had no governance framework, no oversight, no accountability. After implementing comprehensive AI governance across 15+ projects, I’ve learned what works. Here’s the complete guide to implementing responsible AI governance frameworks. Figure 1: Comprehensive […]
Read more →AI Security Best Practices: Beyond Prompt Injection
Last year, our AI application was compromised. Not through prompt injection—through model extraction. An attacker downloaded our fine-tuned model in 48 hours. After securing 20+ AI applications, I’ve learned that prompt injection is just the tip of the iceberg. Here’s the complete guide to AI security beyond prompt injection. Figure 1: AI Security Threat Landscape […]
Read more →AI Security: Defending Against Prompt Injection and LLM Attacks
A comprehensive guide to securing LLM applications against prompt injection, jailbreaking, and data exfiltration attacks. Includes production-ready defense implementations.
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