Struggling to meet SOC 2, ISO 27001, or NIST 800-171 requirements? Our Gap Assessment helps you pinpoint weaknesses, eliminate inefficiencies, and ensure a smooth path to compliance. We evaluate your current security posture, identify areas for improvement, and provide clear, actionable steps—so you can reduce audit fatigue and stay ahead of evolving standards.
Your teams are adopting AI faster than your policies can keep up. Security Ideals helps mid-market companies build governance programs that work in the real world and designed by practitioners who run 15+ AI agent systems ourselves.
We run an AI-first operating model with 15+ integrated agent systems. We understand governance from the inside.
Deep experience with ISO/IEC 42001, NIST AI RMF, EU AI Act, and emerging state-level AI regulations.
Practical governance programs sized for companies with 100-2,000 employees, not enterprise bureaucracy.
Teams deploying AI tools across the organization with no acceptable use policy or governance structure.
Customer data and proprietary information entering AI models without protections or regulatory compliance.
No AI system inventory, risk assessment, or answers when customers and regulators start asking questions.
The world's first international standard for AI management systems. We help you build the management system, conduct gap assessments, and prepare for certification before your competitors do.
Map your AI systems against NIST AI RMF functions: Govern, Map, Measure, Manage. We turn the framework from a PDF into an operating program with clear ownership and measurable outcomes.
Navigate the complex regulatory landscape: EU AI Act compliance for systems used in Europe, U.S. state regulations (Colorado, California), and emerging federal frameworks. We help you classify systems by risk tier, implement required controls, and build documentation that scales across jurisdictions.
Systematic evaluation of your AI portfolio: where are models making decisions, what data are they trained on, what happens when they're wrong, and who's accountable. We deliver a prioritized risk register your leadership team can act on.
Acceptable use policies, model evaluation criteria, vendor AI assessment questionnaires, incident response for AI failures, and board-level reporting. Everything you need to govern AI as a first-class operational concern.
Model cards, system cards, and transparency documentation that explain what your AI does, how it was built, and where its limitations are. Build trust with customers and meet regulatory requirements.
Most consultancies advising on AI governance have never built an AI system. We have.
Security Ideals runs an AI-first operating model with 15+ integrated agent systems managing everything from threat detection to compliance automation. We don't just understand the frameworks, we live inside the operational reality of deploying AI responsibly.
That means our governance programs are practical, not theoretical. We know what breaks. We know what auditors actually look for. And we know the difference between a policy that sits in a binder and one that changes how your teams work.
Understand your current AI landscape: what tools are in use, where automated decisions happen, what regulatory obligations apply.
Compare current controls to ISO 42001, NIST AI RMF, or EU AI Act requirements. Deliver prioritized roadmap with quick wins and 90-day milestones.
Implement the foundation: acceptable use policies, risk management frameworks, governance structure, and escalation procedures.
Systematic AI risk assessments: bias testing, failure analysis, data lineage documentation, model cards, and vendor reviews.
Embed governance into workflows: deployment gates, incident response procedures, and team training programs.
Monthly advisory, policy updates as regulations evolve, new tool assessments, and executive reporting.
We work with organizations deploying AI but lacking the governance systems to manage the risk.
Mid-market companies (100–2,000 employees) deploying AI across operations or products
CTOs, CISOs, and Chief AI Officers who need a governance playbook but don't have dedicated resources
Companies pursuing ISO 42001 certification or NIST AI RMF alignment
Organizations with EU exposure needing AI Act compliance before August 2026
SaaS companies embedding AI in products and facing customer questions about responsible AI
Regulated industries (healthcare, financial services, insurance) where AI intersects with existing compliance
Boards asking "what's our AI risk?" and getting no clear answer
A focused evaluation of your current AI landscape: what tools are in use, what policies exist, what gaps need closing. Delivered as a prioritized roadmap with quick wins and 90-day milestones.
Full program design and implementation: policies, procedures, risk assessments, vendor frameworks, training, and board reporting. We build it with your team so it sticks after we leave.
Fractional AI governance leadership. Monthly advisory sessions, policy reviews as regulations evolve, new tool assessments, and a direct line when something unexpected happens.
Structured program to prepare for third-party ISO/IEC 42001 certification: gap assessment, management system documentation, and pre-certification readiness reviews.
A foundational program with policies, risk assessments, and governance structure typically takes 3-6 months. ISO 42001 certification readiness can take 6-12 months depending on your starting point
Yes. Even if you're not building custom models, using tools like ChatGPT, Copilot, or AI-powered SaaS products creates governance obligations around data protection, acceptable use, vendor management, and regulatory compliance.
ISO 42001 is a certifiable standard focused on building an AI management system (similar to ISO 27001 for information security). NIST AI RMF is a risk management framework (not certifiable) that provides functions and categories for governing AI. Many companies use both; ISO 42001 as the management system structure, NIST AI RMF for risk assessment methodology.
Yes, if you place AI systems on the EU market, process data of EU individuals, or have outputs used in the EU. The AI Act has extraterritorial reach similar to GDPR. High-risk systems must comply by August 2026.
Healthcare (patient care decisions), financial services (credit and lending), insurance (claims and underwriting), HR tech (hiring and promotion), and education face the highest scrutiny. But any company making automated decisions that affect people needs governance, especially if you're in a regulated industry.
SOC 2 and ISO 27001 cover information security but don't address AI-specific risks like algorithmic bias, model drift, training data provenance, automated decision-making transparency, or AI-specific regulations. ISO 42001 is designed specifically for AI management systems and integrates with your existing security frameworks.
Start with an AI inventory and acceptable use policy. Understand what AI tools your teams are using (officially and unofficially), then establish clear guidelines for acceptable use and data handling. This gives you visibility and reduces immediate risk while you build a more comprehensive program.
A gap assessment is a systematic evaluation designed to identify the differences between an organization’s current information security practices and the requirements of a specific compliance framework. The process typically involves the following steps:
At Security Ideals, our vCISOs personally conduct all Gap Assessments, ensuring direct access to information security experts. You’ll never have to go through a customer service representative or project manager to get the expert analysis and guidance you need.
A gap assessment is essential before conducting an audit to prevent potential failure and avoid wasting money.
Here’s why:
Identify Deficiencies: A gap assessment helps identify deficiencies in your current information security practices compared to the compliance requirements. This allows you to address issues proactively rather than discovering them during the audit.
Save Time and Resources: By identifying and rectifying gaps beforehand, you can streamline the audit process, making it more efficient and less time-consuming. This preparation reduces the likelihood of costly re-audits and remediation efforts after a failed audit.
Enhance Readiness: A thorough gap assessment ensures that your organization is fully prepared for the audit, with all necessary controls and processes in place. This readiness increases your chances of passing the audit on the first attempt.
Mitigate Risks: Addressing gaps before the audit helps mitigate risks associated with non-compliance, such as legal penalties, reputational damage, and financial losses.
Cost-Effective: Investing in a gap assessment upfront is cost-effective compared to the potential expenses of failing an audit and having to undergo extensive corrective actions and re-audits.
1. SOC 2 (Service Organization Control 2)
2. ISO 27001 (Information Security Management Systems)
3. NIST 800-171 (Protecting Controlled Unclassified Information in Non-Federal Systems and Organizations)
4. GDPR (General Data Protection Regulation)
5. HIPAA (Health Insurance Portability and Accountability Act)
6. PCI DSS (Payment Card Industry Data Security Standard)
7. CMMC (Cybersecurity Maturity Model Certification)
8. FISMA (Federal Information Security Management Act)
9. SOX (Sarbanes-Oxley Act)
10. ISO 9001 (Quality Management Systems)
11. ISO 22301 (Business Continuity Management Systems)
12. NIST Cybersecurity Framework (CSF)
13. NERC CIP (North American Electric Reliability Corporation Critical Infrastructure Protection)
14. GLBA (Gramm-Leach-Bliley Act)
15. FFIEC IT Examination Handbook (Federal Financial Institutions Examination Council)
16. COBIT (Control Objectives for Information and Related Technologies)
17. ITIL (Information Technology Infrastructure Library)
18. HITRUST CSF (Health Information Trust Alliance Common Security Framework)
19. FedRAMP (Federal Risk and Authorization Management Program)
20. CSA STAR (Cloud Security Alliance Security, Trust & Assurance Registry)
21. ISO 31000 (Risk Management)
22. ISO 20000 (IT Service Management)
23. ISO 14001 (Environmental Management Systems)
24. CobiT (Control Objectives for Information and Related Technologies)
25. Basel II/III (International Regulatory Framework for Banks)
26. NYDFS Cybersecurity Regulation (New York Department of Financial Services)
27. MAS TRM (Monetary Authority of Singapore Technology Risk Management)
28. BSA/AML (Bank Secrecy Act/Anti-Money Laundering)
29. CCPA (California Consumer Privacy Act)
30. ISO 45001 (Occupational Health and Safety Management Systems)
31. Australian Government Information Security Manual (ISM)
32. CIS Controls (Center for Internet Security Controls)
33. Cyber Essentials (UK)
34. PDPA (Personal Data Protection Act - Singapore)
35. LGPD (Lei Geral de Proteção de Dados - Brazil)
36. PIPEDA (Personal Information Protection and Electronic Documents Act - Canada)
37. Cybersecurity Law of the People's Republic of China
38. TISAX (Trusted Information Security Assessment Exchange - Automotive Industry)
39. AICPA SOC for Cybersecurity
40. FFIEC Cybersecurity Assessment Tool (CAT)
41. Japan’s Act on the Protection of Personal Information (APPI)
42. Singapore MAS Technology Risk Management Guidelines (MAS TRMG)
43. SWIFT Customer Security Programme (CSP)
44. National Cyber Security Centre (NCSC) Cyber Assessment Framework (CAF)
45. ISA/IEC 62443 (Industrial Automation and Control Systems Security)
46. ENISA (European Union Agency for Cybersecurity) Guidelines
47. ANSSI (Agence nationale de la sécurité des systèmes d'information) Cybersecurity Standards
48. ISO 28000 (Supply Chain Security Management Systems)
This comprehensive list covers a wide range of industries and regulatory environments, ensuring that organizations can find the appropriate framework for their specific compliance needs. If you don't see your specific framework, law, or guideline listed, please reach out to us via our Contact Page. Our experienced CISOs work across many verticals and can address bespoke requirements not listed here.