What Is LLM Security
LLM security is protecting applications built on large language models from attacks like prompt injection and data exfiltration. It is the fastest growing and least contested area of security today.
Why AI applications are vulnerable
A language model receives its instructions and the data it processes in the same channel, as text, with no structural boundary between them. That single design fact is why prompt injection exists and why it cannot be fully fixed the way SQL injection was.
The core attack: prompt injection
Untrusted input makes the model follow instructions it should not. It comes in two forms: direct, typed by the attacker, and indirect, planted in content the model later reads, like a document or web page. Full explanation in prompt injection explained.
The OWASP Top 10 for LLMs
| Risk | What it does |
|---|---|
| Prompt injection | Overrides intended instructions |
| Data exfiltration | Leaks private data through the model |
| Insecure output handling | Model output reaches a shell or query |
| Excessive agency | Over permissioned tools and actions |
| Training data poisoning | Corrupts the model at source |
Why impact depends on capability
A text only chatbot has a low ceiling no matter how injectable it is. An agent that can read email and call APIs is a complete exfiltration and action primitive. The security question is never is it injectable, it is what can it reach.
Why learn this now
Talent supply is very thin and demand is rising fast as companies ship AI features. Low competition in a rising field is the cheapest authority you will build. The path is the LLM security course.
Related
Frequently asked questions
What is LLM security?
Protecting applications built on large language models from attacks like prompt injection and data exfiltration.
Can prompt injection be fixed?
Not the way SQL injection was. There is no clean separation of instructions and data. Defence limits what an injection achieves.
Do I need machine learning knowledge?
No. This is application security applied to AI. Existing security knowledge transfers directly.
Is LLM security in demand?
Yes and rising fast, with a very thin talent pool, which makes it one of the best fields to enter now.
What is the difference between LLM security and AI red teaming?
LLM security is the broad discipline. AI red teaming is the offensive testing of AI systems within it.