The Paradigm Shift

Traditional security models focus on perimeter defense and access control. However, AI systems introduce a new attack surface: the model itself.

Prompt Injection

Prompt injection is not just a bug; it's a fundamental property of how LLMs process instructions. We cannot simply "patch" it away.

Data Poisoning

The integrity of the training data is paramount. If an attacker can poison the well, the model is compromised before it's even deployed.

Conclusion

We need a holistic approach to AI security that encompasses the entire lifecycle of the model.