IYH Dear Preeti Tupsakhare

The bad news is this is much harder to do correctly and associated with much higher error rates compared to security controls in traditional software architectures (one exception - they started laying ground works 15 years ago - Palantir nailed it). FWIW the top one, the other two require constant continued innovation and vigilance.

Sophisticated attackers however will very quickly ways to encode malicious intents without using disallowed keywords or exceeding character limits, as experience has shown.

In crafting prompts for sensitive data interactions, prompt engineers need to prioritize security and ethical concerns to successfully reduce risks that encompass data privacy violations, injection attacks, model exploitation, ethical bias, and unauthorized access. To safeguard sensitive information, engineers should reduce its prevalence in prompts, apply anonymization or encryption techniques, and adhere to regulations such as GDPR or HIPAA. Prevention of injection attacks requires stringent input validation, context filtering, and model hardening, while prevention of model exploitation necessitates output filtering, rate limiting, and rigorous access controls. Ethical bias mitigation necessitates regular audits, heterogeneous training sets, and fairness-aware models. Access control and user authentication can be secured through multi-factor authentication, role-based access, and secure session management. Implementation of auditing mechanisms that include extensive logging, real-time alerts, and regular assessments ensures accountability and reveals possible misuse. Ethical safeguards, including carefully crafted guidelines, human review, and transparency, help prevent negative or unethical consequences. Engineers must also balance security measures with system effectiveness through optimized algorithms and scalable infrastructure. Finally, prevention of misuse of AI-generated content involves the deployment of watermarking, strict usage policy, and educating users. By considering these factors, prompt engineers can develop secure, ethical, and efficient AI systems for sensitive data interaction.

use one-way hashing to verify the integrity of sensitive data at the secure socket layer (SSL) which uses transport layer security (TLS) it works between the application layer and the transport layer