DR² ThinkTech

AI protection and security prompts

Prompts and guides to assess prompt injection, jailbreaks, data protection, and security risks in AI applied to healthcare.

01

Security in AI applied to healthcare

Prompt injection, jailbreaks, and improper behavior

Security prompts help assess risks from instruction manipulation, context leakage, improper responses, and protection failures in AI applications.

02

Data protection

Risk, limits, and review before use

Security assessment should consider privacy, access control, logs, auditing, human review, and clear limits for use in clinical or corporate environments.

Innovation & Intelligence

Strategic intelligence for healthcare. From complexity to clarity.

For workflows with sensitive data, we apply minimization and de-identification before any processing by language models, under double data anonymization. We use AI providers via the OpenAI and Google Gemini APIs under enterprise terms, with ZDR (Zero Data Retention) and BAA (Business Associate Agreement) enabled for eligible endpoints.

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AI with clinical responsibility · B2B-only model