Prompt Ops & Security
Engineering practices for managing prompts in production, from testing and versioning to defending against injection attacks. The infrastructure layer every LLM team needs before shipping.
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What topics does this domain cover?
6 topicsEach topic below is a key concept in this domain. Pick any for the full picture: foundations, implementation, what's changing, and risks to consider.
Prompt Injection →
Prompt injection is a security vulnerability in AI systems where malicious input overrides or manipulates the original …
Prompt Optimization →
Prompt optimization is the practice of systematically improving how instructions are written for LLMs to get better …
Prompt Testing and Evaluation →
Prompt testing and evaluation is the practice of systematically measuring whether a prompt performs as intended — across …
Prompt Versioning and Management →
Prompt versioning and management covers engineering practices for treating prompts as code — applying version control, …
Structured Output Prompting →
Structured output prompting is a collection of techniques that make large language models return data in predictable, …
Tool Use in Prompts →
Tool use in prompts lets LLMs call external functions, APIs, and tools by embedding schema definitions directly in the …