Get AI Risk Assessments, AI Ethics & Fairness Assessments, and Regulatory Compliance Assessments.
Our Virtual CISO (vCISO) Services provides AI Risk Assessments based on ISO 42001, NIST AI.100, ISO TR 24027 and country-specific AI Regulations. We ensure Technical Robustness & Ethical Soundness of your AI Systems and Applications.
Our comprehensive services assist businesses in developing Responsible & Ethical AI Systems with cybersecurity safeguards, ensuring compliance with Security, Privacy and AI Standards & Regulations.
Our AI Risk Assessment & AI Data Governance Services:

Our Services help businesses develop ResponsibleAI, EthicalAI and TrustworthyAI Systems and Applications. Ready to take control of your data and power up your AI initiatives? Get in touch with us today, our team is excited to partner with you !
The adoption, use and development of AI-enabled apps introduces significant cybersecurity risks. Our Virtual CISO (vCISO) Services deliver specialized AI Risk Assessments aligned with the NIST AI Risk Management Framework (including Generative AI Profiles), ISO/IEC 42001 AI Management System standard, Country-specific AI Regulations and emerging NIST Cyber AI Profile.
What We Offer
Our Services include:
Your business is leveraging AI to drive innovation, increase productivity, and accelerate growth—yet ungoverned AI introduces risks that can delay investor-funding rounds, erode customer trust, or trigger compliance roadblocks.
IRM Consulting & Advisory helps SMB's and SaaS Companies implement, govern AI adoption and use responsibly; protecting sensitive data, ensuring ethical use & development; and demonstrating AI Regulatory compliance to customers and investors, while keeping costs predictable and expertise immediately accessible.

An AI Risk Assessment is a structured risk evaluation of the use and development of AI systems—particularly generative AI tools, AI-enabled apps, copilots, and custom models—to identify threats like prompt injection, data leakage, model poisoning, bias, and shadow AI usage.
For SMB's and SaaS companies, this isn't just a technical exercise—it's a business imperative. An assessment aligned with AI Risk Management Frameworks helps you proactively address risks, accelerate compliance, and demonstrate security maturity to enterprise customers and investors—often shortening sales cycles and protecting ARR growth.
We follow a proven, consultative approach tailored to your AI Strategy and objectives:
1. Discovery & Inventory — Map your AI tools, data flows, and usage (1-2 weeks).
2. Risk Analysis — Evaluate against NIST AI RMF, ISO/IEC 42001, and industry-specific threats (2-4 weeks).
3. Risk-based prioritized Recommendations & Roadmap — Deliver a clear report with a maturity roadmap, remediation steps, governance controls (final 1-2 weeks).
Beyond risk reduction, our clients see tangible growth acceleration:
1. Faster enterprise sales cycles — Security questionnaires answered confidently, with documented AI governance building trust.
2. Investor & due diligence readiness — Demonstrate mature AI controls during funding rounds or M&A.
3. Lower breach & insurance costs — Proactively address high-impact risks like data leakage or prompt injection.
4. Cost efficiency — Enterprise-level expertise without the $300K+ full-time CISO overhead.
AI introduces unique risks (e.g., data leakage from generative tools, model/data poisioning and ethical concerns) that traditional controls do not fully address. Our assessment maps these directly to SOC2 Trust Services Criteria, ISO27001 Annex A controls, and ISO/IEC 42001 requirements.
AI is no longer optional—it will be embedded in nearly every business process and workflow, from customer support copilots to predictive analytics. Yet ungoverned adoption creates blind spots: shadow AI (unsanctioned tools used by teams) alone can inflate data breach costs by an average of $670,000 per incident compared to organizations with visibility and controls.
The assessment covers Shadow AI—employees spinning up unapproved generative tools—and autonomous AI agents are among the fastest-growing risks, with AI agents emerging as a top concern in SaaS ecosystems (per industry analyses like Valence Security and IBM). These create hidden data flows, potential leakage of sensitive customer or proprietary information, and compliance gaps that traditional security can't fully address.
Our diverse industry experience and expertise in AI, Cybersecurity & Information Risk Management, Data Governance, Privacy and Data Protection Regulatory Compliance is endorsed by leading educational and industry certifications for the quality, value and cost-effective products and services we deliver to our clients.






