GenAI Security
The practice of protecting generative AI models, applications, and data from cyber threats, misuse, prompt attacks, and unauthorized access.
What is GenAI Security?
GenAI security focuses on risks that emerge when users, applications, and AI models interact through natural language and connected systems. These risks can include prompt injection, jailbreaks, sensitive data leakage, malicious outputs, model manipulation, and excessive agency. Security controls may monitor prompts and responses, enforce policies, restrict access, detect threats, and log AI activity.
Why is GenAI Security Important?
Generative AI systems increasingly connect to enterprise data, APIs, applications, and tools. A successful attack can therefore affect more than model output and may expose sensitive information or trigger unauthorized actions. GenAI security helps organizations reduce these risks while enabling safer adoption of AI.
Common use cases
GenAI security is commonly applied to LLM applications, AI agents, enterprise assistants, RAG systems, coding assistants, and employee use of generative AI tools.