Zero Trust for AI: Why Traditional Cybersecurity Isn’t Enough

The New Attack Surface

AI systems (LLMs, APIs, training pipelines) introduce unique vulnerabilities:

• Prompt injection (hijacking ChatGPT outputs).
• Data poisoning (corrupting training datasets).

3 Must-Have Protections

1. Model Integrity Checks
   • Use checksums and digital signatures for training data.
2. Prompt Injection Guards
   • Deploy regex filters + LLM-based anomaly detection.
3. Least-Privilege Access
   • Restrict AI tool access with OAuth2/OIDC.

Case Study:
A fintech firm using ChatGPT leaked 5,000 customer queries via unsecured APIs. After implementing Zero Trust, breaches dropped by 80%.

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