Implementation of the NIST AI Risk Management Framework

Overview

Understand how LangProtect helps organizations implement the NIST AI Risk Management Framework (AI RMF) across enterprise AI environments. This solution brief maps practical security controls to the NIST AI RMF functions of Govern, Identify, Protect, Detect, Respond, and Recover, covering employee AI usage, AI applications, AI agents, and MCP-connected systems.

Key Highlights

How NIST AI RMF applies to enterprise AI security
Mapping LangProtect controls across the Govern, Identify, Protect, Detect, Respond, and Recover functions
Discovering AI assets, identities, applications, agents, and dependencies
Applying preventive controls across AI interactions and workflows
Detecting AI threats, policy violations, and abnormal activity
Investigating, containing, and remediating AI security incidents
Restoring controlled AI access and security controls after remediation
How Guardia, Armor, and Vector support different AI environments
Turning AI security activity into verifiable evidence for governance and compliance
Understanding shared responsibilities when implementing AI security controls

Implementation of the NIST AI Risk Management Framework

Overview

Key Highlights

Stay Ahead in AI Security