AI Security
The Enterprise AI Security Boundary Is Expanding
AI security now spans prompts, retrieval sources, tool permissions, model behavior and the downstream actions an agent can take.
Traditional application controls remain necessary, but AI systems introduce untrusted natural-language input and dynamic connections to knowledge and tools.
Secure the complete action path
Classify tools by consequence, minimize credentials, validate retrieved content and log the evidence behind every sensitive action.
The risk of an AI system is defined by what it can reach and what it can change.
BELFORT Security Practice
