Govern
Establish AI policies, roles, accountability, culture, oversight, documentation, and governance processes.
NIST AI RISK MANAGEMENT FRAMEWORK
NIST AI RMF Consulting & AI Risk Assessment
Use the NIST AI Risk Management Framework to govern AI use, identify and evaluate AI risk, define accountability, establish controls, and support continuous oversight.
ASSESS • PRIORITIZE • IMPROVE
Turn framework requirements into practical security improvements
Synapse Cyber focuses on making framework work operational: understanding your current state, identifying meaningful gaps, connecting findings to business risk, and producing a remediation roadmap that can be tracked over time.
Map
Understand AI use cases, context, affected stakeholders, data, dependencies, impacts, and intended outcomes.
Measure
Evaluate AI risks, performance, reliability, privacy, security, transparency, and other trustworthiness considerations.
Manage
Prioritize AI risk responses, controls, monitoring, escalation, treatment, and continuous improvement.
AI inventory
Create visibility into AI systems, vendors, models, business owners, data use, and approval status.
Evidence & oversight
Connect governance decisions to assessments, controls, documentation, evidence, and executive reporting.
Discover
Inventory AI systems, vendors, use cases, owners, data, and business context.
Assess
Evaluate AI risks, impacts, controls, oversight, and governance maturity.
Govern
Define policy, accountability, approval, control, documentation, and monitoring requirements.
Monitor
Track changes, evidence, incidents, remediation, and ongoing AI governance decisions.
Common questions
What is the NIST AI RMF?
The NIST AI Risk Management Framework is a voluntary framework designed to help organizations manage risks associated with artificial intelligence and promote trustworthy and responsible AI practices.
How does NIST AI RMF relate to AI governance?
It provides a structured way to connect AI governance, context mapping, risk measurement, and risk management throughout the AI lifecycle.
Can Synapse Cyber combine NIST AI RMF with an AI risk assessment?
Yes. AI use cases can be assessed against practical risk criteria and then connected to governance requirements, controls, ownership, evidence, and monitoring.
Turn framework requirements into an assessment roadmap.
Define scope, identify control gaps, prioritize risk, organize evidence, and build a remediation plan that can be tracked through completion.
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Implementation services
Ready to operationalize NIST AI RMF?
Move from framework concepts to governance roles, AI inventory, risk assessment, approvals, controls, evidence, and continuous monitoring.
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