Most firms talk about AI policy and ethics. Almost nobody governs AI at runtime. NED builds operating models that control AI adoption, enforce compliance, and maintain human oversight — without slowing deployment velocity.
AI adoption is outpacing governance.
That gap is where your risk lives.
Employees are using AI tools leadership hasn't approved. Data is flowing through models without privacy controls. Compliance frameworks written for last year don't account for how AI is being deployed today. By the time an audit surfaces the exposure, the damage is already done.
A complete AI governance operating model — from risk assessment through runtime enforcement to compliance certification.
Systematic identification of AI usage across your organization — approved and shadow. Risk scoring against regulatory frameworks and business impact. Baseline for every governance program we build.
Operating models aligned to NIST AI RMF, EU AI Act, ISO/IEC 38507:2022, and sector-specific requirements. Designed to be executable, not just documented.
The category most firms miss entirely. Enforcement at inference time — monitoring AI behavior, detecting policy violations, and triggering human-over-the-loop escalation in real time.
Not human-in-the-loop — human-over-the-loop. Governance architecture where humans set the rules, AI executes, and humans review exceptions. Faster deployment, maintained accountability.
Securing data pipelines, model access, and AI-driven workflows. Includes prompt injection defense, model access controls, output validation, and AI vendor risk reviews.
Pre-audit preparation for AI-related compliance requirements — HIPAA, SOX, FedRAMP, GDPR, and sector-specific AI regulations. Documentation, controls evidence, and regulator-facing narratives.
Most AI governance programs produce documents: policies, principles, ethics statements. They're important — but they don't control what AI actually does at 2am when no one is watching.
NED builds governance that operates at inference time. We instrument AI systems to detect drift, flag policy violations, and trigger human review before damage occurs — not after.
Three capability areas that are becoming critical — and where early positioning creates durable competitive advantage.
Agentic AI systems don't just respond — they act. Governing non-human identities, agent permissions, and autonomous decision chains is the next frontier of identity security.
EmergingAI telemetry, inference monitoring, model drift detection, and runtime risk analytics. The equivalent of security monitoring — but for AI systems operating inside your business.
DifferentiatorAs AI regulation becomes geopolitical, sovereignty requirements will shape where models can run and what data they can touch. NED is positioning early in this space — especially for Africa and emerging markets.
Early MoverNational Institute of Standards and Technology AI Risk Management Framework
European Union Artificial Intelligence Act — risk classification and compliance
Governance of IT — implications of the use of artificial intelligence by organizations
HIPAA, SOX, FedRAMP, GDPR — sector-specific AI compliance overlays