Strategic Differentiator / 03
AI Governance &
Risk Management
Navigate AI adoption with confidence. We help organizations deploy AI responsibly through governance frameworks, risk assessments, and ethical policy development aligned with ISO 42001 and NIST AI RMF.
The Challenge
AI is Moving Faster
Than Your Risk Framework
Generative AI tools are already embedded in your organization from ChatGPT in marketing to Copilot in engineering. Without governance, you're exposed to data leakage, compliance violations, bias risks, and intellectual property concerns. We help you adopt AI responsibly.
[ 01 ]
Risk Assessment
Identify AI-specific threats: prompt injection, model poisoning, data leakage, bias amplification, adversarial attacks, and unintended disclosure of sensitive information.
[ 02 ]
Policy Development
Build acceptable use policies, vendor evaluation frameworks, and ethical AI principles tailored to your organization's risk appetite and regulatory obligations.
[ 03 ]
Framework Alignment
Map your AI governance to ISO 42001 Artificial Intelligence Management Systems (AIMS) and NIST AI Risk Management Framework for credibility with customers and regulators.
What We Address
AI-Specific Security &
Privacy Risks
AI introduces new attack vectors and compliance challenges that traditional security frameworks don't fully address. We help you identify and mitigate these emerging risks.
Data Leakage
Employees pasting sensitive data into public AI tools. Customer data exposure through poorly scoped model training. Inadvertent disclosure of trade secrets.
Model Security
Prompt injection attacks, jailbreaking attempts, model theft, adversarial inputs designed to manipulate outputs, and supply chain risks in foundation models.
Compliance Gaps
GDPR right to explanation conflicts with black-box models. CCPA data minimization vs. training data requirements. Biometric data in facial recognition AI..
Bias & Fairness
Discriminatory outputs in hiring, lending, or healthcare AI. Amplification of training data bias. Lack of explainability for adverse decisions.
Intellectual Property
Copyright infringement in generative AI outputs. Ownership disputes over AI-created content. Inadvertent recreation of proprietary algorithms.
Vendor Risk
Third-party AI tools with opaque data handling. SaaS platforms adding AI features without security review. Shadow AI adoption across departments.
What You Get
AI Governance Assessment Deliverables
Our AI governance engagements provide risk assessments, policy frameworks, and roadmaps that enable responsible AI adoption while protecting your organization from emerging threats.
Assessment & Analysis
ISO 42001 gap analysis report
AI risk register with model-specific threat assessments
NIST AI RMF mapping and maturity assessment
Shadow AI discovery and inventory
AI vendor security review
Policy & Governance
Generative AI acceptable use policy framework
AI ethics guidelines and governance structure recommendations
AI model security review report (prompt injection, data poisoning, model theft risks)
AI governance program roadmap with implementation timeline
AI incident response playbook
Standards & Frameworks
Aligning to Recognized
AI Governance Standards
We align your AI governance program to internationally recognized frameworks that provide structure, credibility, and regulatory defensibility.
ISO 42001 (AIMS)
Artificial Intelligence Management System framework covering AI lifecycle governance, risk management, and organizational controls. First comprehensive AI governance standard.
NIST AI Risk Management Framework
U.S. government-backed framework for managing AI risks. Four core functions: Govern, Map, Measure, Manage. Widely adopted across industries.
EU AI Act Preparation
Prepare for upcoming EU AI regulations. Risk classification, prohibited practices, transparency requirements, and conformity assessments.
Ideal For
Who Needs
AI Governance Services
AI-First Companies
Organizations building AI products or whose business model relies on AI/ML. Need governance before investors, customers, or regulators demand it.
Generative AI Adopters
Companies deploying ChatGPT, Claude, Copilot, or other LLMs across teams who need policies to prevent data leakage and compliance violations.
Regulated Industries
Healthcare, finance, government contractors using AI in high-risk contexts (diagnostics, underwriting, defense applications) subject to scrutiny.
Why Choose Neon Clarity for AI Governance?
We're security and privacy practitioners who understand AI at a technical level—not just policy consultants. We've worked with AI systems, understand model architectures, and can assess real technical risks (not just hypotheticals). Our AI governance recommendations are grounded in security engineering, not generic frameworks.
We bridge the gap between AI innovation and enterprise risk management.
Engagement Options
AI Governance Service Models
Choose the engagement model that matches your AI maturity and governance needs.
AI Readiness Assessment
2-4 weeks
Gap analysis, risk assessment, policy framework development, and implementation roadmap. Perfect for organizations starting their AI governance journey.
AI Governance Program
3-6 months
Full ISO 42001 or NIST AI RMF implementation. Assessment, policy development, governance structure, model security review, and ongoing advisory.
Ongoing AI Advisory
Retainer-based
Continuous AI governance support as part of vCISO or DPO retainer. Model reviews, policy updates, regulatory monitoring, vendor assessments.
Ready to Deploy AI Responsibly?
Schedule a consultation to discuss your AI adoption plans and explore how governance frameworks can accelerate responsible innovation.