AI Compliance & Governance Services
ISO 42001 | ISO 27001 | NIST AI RMF — AI Risk Management, Governance, and Certification Readiness
AI Compliance & Governance Services, The Basics
Why AI Governance Is No Longer Optional
Artificial intelligence is embedded in enterprise operations across every sector — from automated decision-making and customer-facing systems to defense-adjacent platforms and regulated health and financial data environments. As AI adoption accelerates, so does the regulatory and contractual pressure to demonstrate that AI systems are governed responsibly.
The enterprise AI governance and compliance market is growing rapidly as mandatory regulatory frameworks displace voluntary ethics guidelines. The EU AI Act's prohibited-practice bans (since February 2025) and general-purpose AI obligations (since August 2025) are already enforceable; its full high-risk (Annex III) obligations were originally set for August 2, 2026, though a provisional Digital Omnibus agreement (May 2026, pending formal adoption) may defer that date to December 2027. U.S. federal procurement increasingly references NIST AI RMF alignment, ISO 42001 certification is appearing in enterprise vendor qualification and government solicitations, and several U.S. state AI laws now recognize NIST AI RMF or ISO 42001 alignment as a compliance safe harbor. Organizations that do not build a defensible AI governance program now are accumulating structural risk.
Three frameworks define the current international standard for responsible AI governance and security: ISO 42001, ISO 27001, and the NIST AI Risk Management Framework. RSI Security helps organizations implement all three — independently, in combination, or as an integrated program.
What Problems AI Governance Services Solve
The AI compliance landscape creates a specific set of operational and risk challenges that generic cybersecurity programs do not address:
- No structured framework for governing AI systems across their full lifecycle — from design through deployment, monitoring, and retirement
- Inability to demonstrate responsible AI use to customers, regulators, investors, or federal procurement officials
- ISO 27001's information security controls were not designed for AI-specific risks: model poisoning, training data manipulation, adversarial attacks, model drift, or algorithmic bias
- NIST AI RMF adoption required or expected by federal agencies and increasingly by federal contractors, but no internal roadmap for implementation
- ISO 42001 certification demanded in enterprise RFPs and vendor qualification processes, with no path to audit readiness
- AI supply chain risk — third-party AI tools, models, and APIs within an organization's operational environment that lack governance controls
- Exposure to EU AI Act liability for organizations with EU customers, even without a European legal entity
- Overlapping framework requirements across ISO 42001, ISO 27001, NIST AI RMF, CMMC, and FedRAMP creating duplicated effort without a unified implementation strategy
When Organizations Need AI Compliance & Governance Services
Organizations need structured AI governance support when specific operational or regulatory conditions apply:
- You develop, deploy, or operate AI systems that influence consequential decisions — hiring, credit, healthcare, security, or government services
- You are a federal contractor or cloud provider facing NIST AI RMF alignment requirements in procurement or contract language
- You are pursuing ISO 42001 certification and need gap assessment, AIMS design, and pre-audit preparation
- You hold ISO 27001 certification and need to extend your ISMS to cover AI-specific risks, threats, and control requirements
- Your AI systems process, store, or transmit data subject to EU AI Act obligations — including U.S.-based organizations with EU users or customers
- You are a SaaS or AI infrastructure provider whose customers require documented AI governance as a vendor qualification condition
- Your board, legal counsel, or cyber insurance carrier is asking for evidence of structured AI risk management
- You operate in financial services (SR 11-7 model risk), healthcare (CMS/VA AI requirements), or defense (DoD AI contracting) where sector-specific AI governance expectations apply
What's Included in AI Compliance & Governance Services
Assessment Phase — AI Risk & Compliance Gap Analysis
The Assessment Phase establishes where your organization currently stands against applicable AI governance frameworks and identifies the specific gaps between current state and required posture. This phase typically includes:
- Framework applicability determination — identifying which of ISO 42001, ISO 27001, and NIST AI RMF apply to your organization, systems, and regulatory context
- AI system inventory and classification — cataloguing AI systems in use, their purpose, impact level, and data inputs
- Gap analysis against ISO 42001 AIMS requirements (Clauses 4–10), ISO 27001 Annex A controls for AI-relevant domains, and NIST AI RMF Govern/Map/Measure/Manage functions
- AI impact assessment evaluation — review of existing AI impact assessment processes or identification of gaps in Clause 6 AI impact assessment obligations under ISO 42001
- Review of existing governance documentation: AI policies, acceptable use guidelines, model documentation, vendor AI agreements
- Evaluation of AI supply chain risk — third-party AI tools, APIs, models, and infrastructure within scope
- EU AI Act risk tier classification for applicable AI systems
Outcome: A clear AI compliance gap profile across all applicable frameworks, with prioritized findings and a roadmap for remediation and governance program build-out.
Implementation Phase — Governance Program Design & Control Build-Out
The Implementation Phase closes identified gaps and builds the governance structures, documented controls, and operational processes required for ISO 42001 readiness, ISO 27001 AI extension, and NIST AI RMF adoption. This phase typically includes:
- AI Management System (AIMS) design aligned to ISO 42001 — governance structures, AI policy framework, risk management processes, accountability assignments
- ISO 27001 ISMS extension to cover AI-specific threat vectors: model poisoning, adversarial attacks, training data integrity, model drift, and AI supply chain risk
- NIST AI RMF implementation support across all four functions:
- GOVERN — AI risk policies, accountability structures, workforce practices
- MAP — AI system context documentation, risk identification per system
- MEASURE — quantitative and qualitative risk analysis, performance indicators
- MANAGE — risk treatment plans, incident response for AI-related failures
- AI impact assessment process design and documentation
- AI-specific security controls for ISO 27001 Annex A domains (access control, supplier management, data integrity, incident management)
- Development of AI governance policies, procedures, and supporting documentation
- AI risk register design and initial population
- Continuous monitoring program design for ongoing AI system oversight
Outcome: A functioning AI governance program with documented controls, policies, and processes aligned to ISO 42001, ISO 27001, and NIST AI RMF requirements.
Validation Phase — Pre-Audit Readiness & Evidence Preparation
The Validation Phase confirms that implemented controls are operating as intended and that documentation meets the evidence standards required by an independent certification audit or regulatory review. This phase typically includes:
- Internal audit simulation against ISO 42001 Clauses 4–10 requirements
- ISO 27001 AI control evidence review against Annex A requirements
- NIST AI RMF Playbook alignment validation — confirming Govern/Map/Measure/Manage implementation artifacts are complete
- AI impact assessment review for completeness and audit-grade documentation quality
- Management review process validation (Clause 9 performance evaluation requirements)
- AI system documentation review: system descriptions, data flow diagrams, model cards, vendor contracts
- Identification of residual gaps before audit engagement
Note: RSI Security delivers readiness services through this phase. ISO 42001 and ISO 27001 certification audits are conducted by independent accredited conformity assessment bodies (CABs). RSI Security supports CAB selection and audit coordination but does not perform the certification audit.
Outcome: An audit-ready AI governance posture with evidence packages that support successful ISO 42001 certification, ISO 27001 surveillance, and NIST AI RMF program documentation.
Certification Support & Ongoing Advisory
The final phase supports CAB engagement for ISO certification, coordinates audit logistics, and establishes the ongoing governance cadence required to maintain certification and continuous compliance. This phase typically includes:
- CAB (certification body) selection guidance and engagement coordination
- Pre-audit documentation package review and final gap closure
- Audit support — responding to auditor inquiries, managing corrective action requests
- Post-certification surveillance audit readiness maintenance
- Ongoing AI governance advisory as AI systems evolve, new models are deployed, or regulatory requirements change
- NIST AI RMF program maturity advancement support
Outcome: ISO 42001 and/or ISO 27001 certification achieved and maintained. NIST AI RMF program operational and documented.
How AI Compliance & Governance Services Work
AI governance readiness follows a structured lifecycle — assessing current posture, designing the governance program, implementing controls, validating readiness, and supporting certification and ongoing compliance.
Framework Applicability & Scoping
Determine which frameworks apply — ISO 42001, ISO 27001, NIST AI RMF, or a combination — based on your regulatory context, customer requirements, AI system types, and geographic market. Define the scope of AI systems, organizational units, and data environments included in the governance program.
AI System Inventory & Risk Classification
Catalogue AI systems in use across the organization. Classify each by type, purpose, impact, data inputs, and regulatory risk tier. Identify AI systems subject to ISO 42001 AIMS requirements, EU AI Act high-risk classification, or NIST AI RMF documentation obligations. This inventory drives everything that follows.
Gap Assessment
Evaluate current AI governance posture against applicable framework requirements. Identify missing controls, undocumented processes, insufficient AI impact assessments, and gaps in ISO 27001 coverage of AI-specific threats. Produce a prioritized gap profile and remediation roadmap.
Governance Program Design & Implementation
Build the AI Management System (AIMS) and/or extend the existing ISMS to cover AI. Develop policies, accountability structures, risk management processes, AI impact assessment procedures, and the NIST AI RMF Govern/Map/Measure/Manage program artifacts. Implement supporting controls across technical and administrative domains.
Pre-Audit Validation
Validate that implemented controls meet certification audit standards. Conduct internal audit simulations, review evidence packages, confirm management review processes are operational, and identify any remaining gaps before the CAB audit begins.
Certification & Ongoing Compliance
Support ISO 42001 and/or ISO 27001 certification audit engagement. Deliver a final documentation package. Establish the ongoing audit, surveillance, and continuous improvement cadence required to maintain certification as AI systems and regulatory requirements evolve.
Types of AI Compliance & Governance Services
AI Compliance Gap Assessment
A structured gap analysis for organizations beginning their AI governance journey or evaluating compliance obligations across ISO 42001, ISO 27001, and NIST AI RMF. This service typically includes:
- Framework applicability determination and scope definition
- AI system inventory and risk classification
- High-level gap analysis against applicable frameworks
- Review of existing AI governance documentation and policies
- EU AI Act risk tier assessment for applicable AI systems
- Prioritized findings and preliminary governance roadmap
Best for: organizations that are uncertain which AI frameworks apply, evaluating certification feasibility, or responding to a customer or procurement requirement for demonstrated AI governance.
ISO 42001 AIMS Implementation & Certification Readiness
End-to-end implementation support for organizations pursuing ISO 42001 certification — from AIMS design through pre-audit validation and CAB engagement coordination. This service typically includes:
- Full gap analysis against ISO 42001 Clauses 4–10
- AIMS design: governance structures, AI policies, accountability frameworks
- AI impact assessment process development (Clause 6 requirement)
- Risk management process implementation: AI-specific risk identification, assessment, treatment
- Performance evaluation program design (Clause 9)
- Supporting documentation development: AI policy, objectives, procedures, records
- Pre-audit internal audit simulation and evidence package preparation
- CAB selection guidance and certification audit coordination
Best for: organizations actively pursuing ISO 42001 certification or responding to enterprise or government procurement requirements for certified AI governance.
ISO 27001 AI Security Extension
Advisory and implementation support for organizations that hold or are pursuing ISO 27001 certification and need to extend their ISMS to address AI-specific security risks and threats. This service typically includes:
- AI threat landscape assessment within the ISO 27001 scope: model poisoning, adversarial inputs, training data manipulation, model drift, inference attacks
- Annex A control gap analysis for AI-relevant domains: access control, supplier management, data integrity, incident management, logging and monitoring
- AI system documentation integration into the ISMS: system descriptions, model risk documentation, vendor AI agreements
- AI supply chain risk management program design
- ISO 27001 surveillance audit readiness for AI-extended scope
Best for: ISO 27001-certified organizations deploying or integrating AI systems, and organizations using ISO 27001 as the security foundation of an integrated ISO 27001 + ISO 42001 governance program.
NIST AI RMF Implementation Program
Structured implementation support for the NIST AI Risk Management Framework across all four core functions — Govern, Map, Measure, and Manage — producing documented program artifacts and a repeatable governance process. This service typically includes:
- GOVERN: AI risk policy development, accountability structure design, workforce governance practices
- MAP: AI system context documentation, risk identification per system, categorization
- MEASURE: Risk analysis methodology, quantitative and qualitative measurement design, KPI development
- MANAGE: Risk treatment planning, incident response procedures for AI failures, residual risk documentation
- AI RMF Playbook alignment and profile development
- Federal procurement readiness: documentation structured to support agency AI governance reviews
Best for: federal contractors, cloud providers, and enterprises whose customers or regulators require NIST AI RMF alignment — or organizations that want a voluntary but authoritative framework as the foundation for their AI governance program.
Integrated AI Governance Program (ISO 42001 + ISO 27001 + NIST AI RMF)
A unified governance program that implements all three frameworks in a coordinated, non-duplicative way — leveraging the significant structural overlap between ISO 42001, ISO 27001, and NIST AI RMF to maximize efficiency.
ISO 42001 and ISO 27001 share a common High-Level Structure (HLS), enabling integrated management system implementation. NIST AI RMF maps closely to ISO 42001 AIMS requirements. Organizations that implement all three as a coordinated program avoid rebuilding documentation three times and maintain a single unified evidence repository.
Best for: organizations with multiple compliance obligations across AI governance, information security, and federal procurement — including defense contractors, SaaS providers serving federal and enterprise markets, and healthcare or financial organizations operating AI in regulated environments.
Ongoing AI Governance Advisory
Continuous advisory support for organizations maintaining an AI governance program — as AI systems evolve, new models are deployed, regulations change, and certification surveillance audits approach. This service typically includes:
- Periodic AI system inventory reviews and risk reclassification
- Governance program updates as ISO 42001 or regulatory requirements evolve
- Surveillance audit readiness support for ISO 42001 and ISO 27001
- NIST AI RMF program maturity advancement
- EU AI Act compliance monitoring and response advisory
- Internal AI governance team enablement
Best for: organizations with existing AI governance programs that need ongoing expert support to maintain certification, respond to regulatory changes, and mature their AI risk management capabilities over time.
Who Needs AI Compliance & Governance Services?
AI governance requirements apply to any organization that develops, deploys, or operates AI systems in environments where those systems influence decisions, handle regulated data, or serve federal or enterprise customers with documented governance requirements.
| Industry | Why AI Governance Applies | Typical Use Case | Related Compliance Context |
|---|---|---|---|
| SaaS & AI Platform Providers | Enterprise and government customers increasingly require ISO 42001 certification or NIST AI RMF alignment as a vendor qualification condition | AI-powered SaaS, ML APIs, generative AI products | ISO 27001, FedRAMP, SOC 2 |
| Defense Contractors | DoD AI contracting references NIST AI RMF; AI systems within defense programs require governance documentation | AI-enabled defense platforms, autonomous systems, DoD-adjacent AI tools | CMMC, NIST 800-171, FedRAMP |
| Financial Services | Federal Reserve / OCC model risk guidance (SR 11-7 / OCC 2011-12) aligns with NIST AI RMF; AI in credit, fraud, and trading requires governed oversight | AI credit decisioning, fraud detection, algorithmic trading, AML systems | SR 11-7 / OCC 2011-12, GLBA, NIST 800-53 |
| Healthcare Providers | VA, CMS, and HHS AI deployments require governance documentation; AI diagnostic tools face growing regulatory scrutiny | Clinical AI, EHR automation, CMS-connected AI platforms | HIPAA, FedRAMP, FDA AI guidance |
| Cloud & Infrastructure Providers | Cloud providers operating AI workloads for government or enterprise clients face increasing ISO 42001 and NIST AI RMF obligations | Government cloud AI, enterprise AI infrastructure, model hosting | FedRAMP, ISO 27001, NIST 800-53 |
| Enterprise Organizations | Board-level AI risk accountability, cyber insurance requirements, and EU AI Act extraterritorial scope are driving governance investment across sectors | AI-augmented operations, automated HR/hiring, customer-facing AI | EU AI Act, ISO 42001, state AI laws |
SaaS & AI Platform Providers
Defense Contractors
Financial Services
Healthcare Providers
Cloud & Infrastructure Providers
Enterprise Organizations
Frameworks Supported & Compliance Alignment
| Framework | What It Is | How It Connects to AI Governance | Why It Matters Now |
|---|---|---|---|
| ISO 42001 | International AI Management System standard (AIMS) — published December 2023 | Defines requirements for establishing, implementing, and maintaining an AI governance program. Certifiable by accredited CABs. | Appearing in enterprise RFPs and government solicitations. The only internationally certifiable AI governance standard. |
| ISO 27001 | International Information Security Management System standard (ISMS) | Foundational security controls extended to cover AI-specific threats: model attacks, data integrity, AI supply chain. | Most widely deployed security certification globally; AI systems require explicit ISMS extension. |
| NIST AI RMF 1.0 | U.S. voluntary AI Risk Management Framework — published January 2023 | Four-function framework (Govern, Map, Measure, Manage) for AI risk identification, assessment, and treatment. | Voluntary but functionally required for federal contractors; referenced in state AI laws as affirmative defense. |
| EU AI Act | Binding EU regulation — the high-risk obligation deadline (originally August 2026, provisionally deferred to December 2027 but not yet law) | Risk-tiered regulation; penalties up to €35M/7% of global turnover for prohibited practices, €15M/3% for high-risk non-compliance. ISO 42001 certification supports conformity demonstration. | Extraterritorial reach covers U.S. organizations with EU users. Prohibited-practice and GPAI obligations already enforceable; high-risk deferral pending formal adoption. |
| CMMC | DoD supply chain cybersecurity certification (codified in 32 CFR Part 170) | AI systems within CMMC-scoped environments require governance documentation; NIST AI RMF and CMMC share NIST foundations. | Defense contractors operating AI alongside CUI handling face combined compliance obligations. |
| FedRAMP | Federal cloud authorization framework | AI systems within FedRAMP-scoped boundaries increasingly face NIST AI RMF alignment expectations. | Cloud providers with federal customers increasingly face AI governance requirements within their authorization boundary. |
ISO 42001
ISO 27001
NIST AI RMF 1.0
EU AI Act
CMMC
FedRAMP
How ISO 42001 and ISO 27001 Work Together
ISO 27001 and ISO 42001 share a common management system architecture (historically called the High-Level Structure, now formally the Harmonized Structure) used across ISO 9001, ISO 27001, and other standards. This means organizations already certified to ISO 27001 have a structural foundation that accelerates ISO 42001 implementation. The two standards are explicitly designed for integrated deployment.
The distinction is scope: ISO 27001 governs information security — confidentiality, integrity, and availability across all information assets. ISO 42001 governs AI-specific concerns that go beyond information security: ethical considerations, algorithmic bias, transparency, explainability, AI lifecycle management, and human oversight of AI decisions. Neither standard fully replaces the other for AI-deploying organizations. Together, they form a complete governance layer.
How NIST AI RMF Relates to ISO 42001
NIST AI RMF 1.0 and ISO 42001 are complementary, not competing. NIST AI RMF provides the risk management methodology — Govern, Map, Measure, Manage — while ISO 42001 provides the certifiable management system standard. ISO 42001's Clause 6 AI impact assessment requirements and risk management processes map directly to NIST AI RMF Map and Measure functions. Organizations implementing both operate from a unified evidence base.
Key difference: NIST AI RMF is voluntary and not certifiable. ISO 42001 is auditable and certifiable by accredited third parties. NIST AI RMF is the de facto U.S. federal standard; ISO 42001 is the international standard accepted in procurement globally.
The EU AI Act: What U.S. Organizations Need to Know
The EU AI Act is not limited to EU-headquartered organizations. Under Article 2, it applies to any provider or deployer whose AI system is placed on the EU market or whose output is used in the EU — regardless of where the organization is incorporated. A SaaS vendor in the U.S. with EU customers, or an HR platform screening candidates for EU-based employers, is in scope.
The Act phases in over several years. Prohibited-practice bans have been enforceable since February 2025, and general-purpose AI obligations since August 2025. Full high-risk (Annex III) obligations were originally set for August 2, 2026; under the Digital Omnibus (provisional agreement May 2026, pending formal adoption), that deadline may be deferred to December 2027.
Because the deferral is not yet law, organizations are advised not to plan around an extension that hasn't been adopted. The prohibited-practice and general-purpose AI obligations are already in force regardless of how the high-risk timeline resolves.
Penalties under Article 99 are tiered:
| Violation Type | Maximum Penalty | Status |
|---|---|---|
| Prohibited practices | €35 million or 7% of global annual turnover | Already enforceable |
| High-risk non-compliance | €15 million or 3% of global annual turnover | Timeline pending formal adoption |
| Supplying incorrect information | €7.5 million or 1% of global annual turnover | Already enforceable |
ISO 42001 certification is recognized as supporting EU AI Act conformity demonstration for covered organizations.
Benefits of AI Compliance & Governance Services
Regulatory Risk Reduction
AI regulatory enforcement is no longer theoretical. The EU AI Act is enforcing prohibited practice penalties now, with the high-risk obligation deadline still pending formal adoption. State AI laws in Colorado and elsewhere are moving from voluntary to mandatory. Federal contractors face NIST AI RMF alignment requirements in procurement. Organizations without a documented, defensible AI governance program are accumulating liability exposure with each quarter they delay.
RSI Security's AI governance program eliminates that exposure systematically — building the documentation, controls, and evidence artifacts that stand up to regulatory review, audit, and procurement qualification.
Certification & Procurement Eligibility
ISO 42001 certification is appearing in enterprise and government vendor qualification requirements. ISO 27001 extended for AI demonstrates security maturity to customers and auditors. NIST AI RMF alignment documentation supports federal procurement eligibility and agency AI governance reviews.
Organizations that invest in certification readiness now gain a competitive procurement advantage over those scrambling to respond after a requirement lands in an RFP.
Board-Level AI Risk Accountability
ISO 42001's Clause 5 (Leadership) and NIST AI RMF's Govern function both require organizational accountability structures for AI risk — documented policies, assigned ownership, management review, and board-level visibility into AI risk posture.
Building these structures proactively protects leadership from liability and positions the organization to respond credibly when a cyber insurer, board member, investor, or regulator asks: "Who is responsible for AI risk here, and what is the process?"
Integrated Compliance Efficiency
ISO 42001, ISO 27001, and NIST AI RMF share significant structural and control overlap. Organizations that implement them as a coordinated program build a single evidence repository, a single governance documentation structure, and a single audit-ready posture — rather than three parallel programs with duplicated effort and inconsistent documentation.
RSI Security's integrated approach maximizes that overlap, reducing total implementation cost and creating a sustainable governance model that scales as AI programs grow.
Stronger AI Security Posture
ISO 27001 extended for AI-specific threats — model poisoning, adversarial inputs, training data manipulation, AI supply chain vulnerabilities — produces materially stronger security controls than a standard ISMS that ignores AI-specific attack surfaces. The governance program that results from ISO 42001 + ISO 27001 integration is not just a compliance artifact. It is a substantive reduction in the operational and security risk posed by AI systems in production.
Common Challenges We Solve
No Structured AI Governance Program
Most organizations deploying AI have security controls and general governance processes that were not designed for AI. They lack: an AI system inventory, documented AI impact assessments, AI-specific risk management processes, accountability structures for AI risk, and the evidence artifacts needed to demonstrate governance to auditors or regulators.
Building this from scratch while AI systems are already in production is the most common starting condition RSI Security encounters. We structure the program around the organization's existing assets — ISO 27001 ISMS, NIST CSF implementation, SOC 2 controls — and extend them rather than starting over.
ISO 27001 That Doesn't Cover AI
ISO 27001 was designed for information security, not AI governance. An organization certified to ISO 27001 may have no controls governing model training data integrity, no process for assessing AI supply chain risk from third-party model APIs, no incident response procedures for AI-specific failures like model drift or adversarial manipulation, and no documentation of AI system accountability.
Certification survives — but the underlying risk is unmanaged. RSI Security's ISO 27001 AI extension closes that gap within the existing ISMS framework.
NIST AI RMF Adoption Without a Roadmap
NIST AI RMF 1.0 is a comprehensive voluntary framework — four functions, multiple categories, dozens of subcategories, and a Playbook of suggested actions. Organizations required or choosing to adopt it frequently have the framework document but no structured implementation plan: no AI system inventory to MAP against, no Govern policies in place, no Measure methodology, no Manage incident procedures.
RSI Security translates the framework into an executable program specific to your AI systems, regulatory context, and organizational structure.
Multiple AI Frameworks, No Integration Strategy
Defense contractors pursuing CMMC who also need FedRAMP authorization and are now facing NIST AI RMF requirements in procurement are building three compliance programs where one integrated program would cover most of the ground. Organizations pursuing ISO 42001 while also maintaining ISO 27001 are duplicating documentation that a unified management system would consolidate.
RSI Security maps the control overlaps across your full compliance portfolio — ISO 42001, ISO 27001, NIST AI RMF, CMMC, FedRAMP — and designs an integrated evidence architecture that satisfies all frameworks from a single program.
EU AI Act Exposure for U.S.-Based Organizations
Many U.S. organizations do not realize they are in scope for the EU AI Act. If your AI system's output reaches EU users — through a SaaS product, an API, a marketplace, or an employer relationship — you are potentially covered. Penalties for prohibited practices are already active.
RSI Security's EU AI Act scoping assessment identifies which of your AI systems are in scope, which risk tier they fall under, and what governance documentation is required before the enforcement window closes.
Related RSI Security Services
| Category | Service | Description |
|---|---|---|
| AI Compliance | ISO 42001 Implementation & Certification Readiness | AIMS design, gap assessment, and pre-audit preparation for ISO 42001 |
| AI Compliance | NIST AI RMF Implementation | Govern, Map, Measure, Manage program design and documentation |
| Information Security | ISO 27001 Compliance Services | ISMS implementation, gap assessment, and certification readiness |
| Compliance | CMMC Level 2 Assessment Services | Independent C3PAO certification assessment; readiness referred to RPOs |
| Compliance | FedRAMP Readiness Services | Pre-assessment readiness for cloud providers (delivered separately from independent 3PAO assessment, per FedRAMP independence rules) |
| Compliance | NIST 800-171 Compliance Services | CUI control alignment for defense and federal environments |
| Testing | Penetration Testing Services | Security validation required for ISO 27001 audit and AI system security testing |
| Advisory | Virtual CISO Services | Strategic AI and cybersecurity governance leadership |
| Advisory | Cyber Risk Assessments | Enterprise risk posture evaluation inclusive of AI system risk |
| Managed Services | Managed Security Services | Continuous monitoring aligned to AI governance and ISO 27001 ConMon requirements |
ISO 42001 Implementation & Certification Readiness
NIST AI RMF Implementation
ISO 27001 Compliance Services
CMMC Level 2 Assessment Services
FedRAMP Readiness Services
NIST 800-171 Compliance Services
Penetration Testing Services
Cyber Risk Assessments
Managed Security Services
Frequently Asked Questions About AI Compliance & Governance Services
What is the difference between ISO 42001, ISO 27001, and NIST AI RMF?
ISO 42001 is the international standard for AI Management Systems — certifiable, auditable, and specific to AI governance. ISO 27001 is the international standard for Information Security Management Systems — it covers all information assets but was not designed for AI-specific risks. NIST AI RMF is a voluntary U.S. framework that provides a structured risk management methodology across four functions.
They are complementary: ISO 27001 provides the security foundation, ISO 42001 adds the AI governance layer, and NIST AI RMF provides the risk management methodology that supports both. Many organizations benefit from implementing all three as an integrated program.
Is ISO 42001 certification required, or is it voluntary?
ISO 42001 itself is a voluntary standard — no regulation currently mandates it. However, certification is increasingly required in enterprise vendor qualification processes, government solicitations, and federal procurement requirements. It is also explicitly recognized as supporting EU AI Act conformity demonstration for high-risk AI systems. Organizations that wait for it to become formally mandatory will find themselves behind organizations that build the governance program now.
Does ISO 27001 cover AI systems?
ISO 27001 provides a strong information security foundation but was not designed to address AI-specific risks. An ISO 27001-certified organization deploying AI systems may have no controls governing model training data integrity, AI supply chain security, adversarial attack vectors, model drift, or algorithmic accountability. RSI Security helps ISO 27001-certified organizations extend their ISMS to explicitly cover AI-specific threats and control requirements.
Is NIST AI RMF legally required?
NIST AI RMF 1.0 is voluntary at the federal level, but it is functionally required for many organizations in practice. Federal agencies are expected to align AI procurement and deployment to the framework. Federal contractors face increasing NIST AI RMF alignment requirements in solicitations. Colorado's AI Act makes NIST AI RMF or ISO 42001 alignment an affirmative defense. Cyber insurance carriers are beginning to reference it in AI security riders.
Does the EU AI Act apply to U.S. companies?
Yes. The EU AI Act applies to any organization whose AI system is placed on the EU market or whose output is used in the EU — regardless of where the organization is based. A U.S. SaaS provider with EU customers, a U.S. HR platform screening EU-based candidates, or a U.S. organization whose AI outputs reach EU users is potentially in scope.
Prohibited-practice bans (since February 2025) and GPAI obligations (since August 2025) are already enforceable. Full high-risk (Annex III) obligations were originally set for August 2, 2026, with a provisional deferral to December 2027 under the Digital Omnibus (pending adoption) — but organizations are advised not to plan around an extension that isn't yet law. RSI Security can scope your EU AI Act exposure and identify which of your systems trigger compliance obligations.
How long does ISO 42001 certification take?
ISO 42001 certification timelines depend on organizational size, the number of AI systems in scope, existing governance maturity, and starting documentation baseline. Organizations with an existing ISO 27001 ISMS have a structural advantage. A typical implementation and certification cycle runs 6–12 months from initial gap assessment through certification audit.
Can we pursue ISO 42001 and ISO 27001 at the same time?
Yes — and doing so is more efficient than pursuing them sequentially. ISO 42001 and ISO 27001 share a common High-Level Structure, enabling integrated management system implementation with a unified documentation set and a single audit-ready evidence repository. RSI Security's integrated program is designed specifically to leverage that overlap.
What industries are required to implement AI governance frameworks?
AI governance requirements apply broadly, but specific pressure is highest in: defense contracting (NIST AI RMF in DoD AI procurement), federal cloud (NIST AI RMF and FedRAMP AI alignment), financial services (SR 11-7 model risk governance), healthcare (CMS/VA AI requirements, FDA AI guidance), and any organization with EU customers or users subject to the EU AI Act. SaaS and AI infrastructure providers are also facing increasing ISO 42001 certification requirements in enterprise procurement.
Get Started with AI Compliance & Governance Services
Organizations pursuing AI governance maturity begin with an initial scoping conversation to determine applicable frameworks, AI system scope, current posture, and the right starting point for their program. RSI Security helps define whether your organization needs ISO 42001 implementation, ISO 27001 AI extension, NIST AI RMF adoption, or an integrated program — and builds a realistic path to certification readiness and operational compliance.
Start with an AI Compliance Gap Assessment
A structured evaluation of your current AI governance posture against ISO 42001, ISO 27001, and NIST AI RMF requirements — with a prioritized findings report and governance roadmap.
Best for: organizations uncertain which frameworks apply, evaluating certification feasibility, or responding to a customer or procurement requirement.
Start the Gap AssessmentRequest ISO 42001 Certification Readiness Support
End-to-end AIMS implementation and pre-audit preparation for organizations actively pursuing ISO 42001 certification.
Best for: organizations with a defined certification objective, a procurement requirement, or an EU AI Act compliance program to build.
Request Readiness SupportContact RSI Security for an Integrated AI Governance Program
For organizations with multiple AI compliance obligations — CMMC, FedRAMP, ISO 27001, EU AI Act — RSI Security designs and implements a unified governance program that satisfies all frameworks from a single evidence architecture.
Best for: defense contractors, cloud providers, SaaS companies, and enterprise organizations with complex, multi-framework AI compliance requirements.
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