Glossary 🤖 AI

AI Security

AI risk management

Identifying and reducing risks from AI use, such as inaccurate output, bias, privacy issues, and security gaps.

Why this matters

Staff may paste customer or business information into AI chat tools, and AI features connected to your data can be tricked into revealing or acting on it.

More in AI

Prompt injection protectionDefenses against hidden or malicious instructions in text that try to make an AI ignore its rules or misbehave.Data leakage preventionControls that stop sensitive information from being entered into, or revealed by, AI tools without permission.Model governancePolicies for approving, documenting, and reviewing which AI models and tools are used and for what.LLM monitoringLogging and reviewing how Large Language Models are used, including inputs and outputs, to spot misuse or errors.AI access controlsLimiting who can use AI tools and what data and systems those tools are allowed to reach.

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