As AI becomes increasingly more integrated into day-to-day business operations, it shapes the type of security and privacy concerns that organizations face.
According to McKinsey, in 2025, 88% of organizations use AI in at least one business function, while global adoption surged from 55% to 78% in just one year, reflecting one of the fastest technology adoption cycles in history. Generative AI tools such as ChatGPT, Copilot, and enterprise AI assistants are being integrated into decision-making, customer service, product development, and software engineering workflows.
However, along with the rapid adoption and multiple business advantages, AI poses risks if governed improperly. A well-known example is the Samsung incident, where engineers uploaded confidential source code and internal data to ChatGPT, prompting the company to restrict the use of generative AI tools. Such incidents highlight a critical reality: organizations often deploy AI faster than they can control or secure it.
To address this need, ISO introduced ISO/IEC 42001, the standard for Artificial Intelligence Management Systems (AIMS).
By implementing ISO 42001, organizations establish a structured governance framework for managing artificial intelligence systems. This framework helps control and reduce AI-related security and compliance risks. It also provides clear and demonstrable oversight of how AI systems are designed, deployed, and monitored. As a result, organizations are better equipped to meet partner, regulatory, and customer expectations.
What is ISO 42001
ISO/IEC 42001 is the first international standard designed to help organizations manage their use of artificial intelligence. This standard addresses the governance gaps that emerge with AI adoption and clearly reinforces the need for structured oversight of these tools.
An AIMS is a structured framework containing policies and controls that ensure AI tools are developed and monitored responsibly from start to finish. Whether AI tools are built within an organization or sourced from a third party, AIMS helps to assess risks and oversee AI decisions. It establishes clear policies, roles, and responsibilities for AI deployment and use, identifies and mitigates risks such as bias and security vulnerabilities, and ensures continuous oversight from initial design through ongoing improvement.
Why ISO 42001 matters for the US businesses
AI is no longer a niche capability but has become a part of standard business operations. As AI moves into customer engagement and business decisions, U.S. businesses are being pushed to prove they can control AI risk. And here are the main areas where ISO 42001 matters:
- Third-party AI usage is now a top exposure
A growing share of AI use comes from third-party tools that expand your attack surface and create governance gaps around data handling, retention, and model behavior. ISO/IEC 42001 is designed for organizations that develop, provide, or use AI systems, which makes it directly relevant even when using third-party AI tools.
- Customers increasingly expect proof of AI governance
Customers are becoming increasingly interested in how AI risk is managed, how models are monitored, how data is protected, and how decisions are reviewed. ISO 42001 provides a recognizable structure to demonstrate governance maturity that is aligned with a recognized standard.
- Preparing for upcoming AI regulations
A formal AI legislation is still evolving in the US, organizations need to manage AI risk. ISO 42001 gives businesses a management-system backbone to operationalize controls and respond faster to new contractual and regulatory requirements.
- Competitive advantage
Beyond risk reduction, ISO 42001 can strengthen competitive positioning by building customer trust, supporting enterprise sales requirements, and differentiating organizations in regulated or security-conscious markets.
ISO 42001 implementation requirements (checklist)
Implementing ISO 42001 requires organizations to take a structured and proactive approach to managing AI systems. Establishing clear governance, accountability, and oversight mechanisms helps reduce risk while building trust with regulators, partners, and customers. The following key actions provide a practical starting point for implementation.
- Establish an AI policy and governance structure
- Maintain an AI inventory and conduct risk assessments
- Assign clear roles and accountability for AI risks
- Implement monitoring, logging, and incident response processes
- Review and improve controls regularly
Creating and aligning with an ISO 42001 checklist helps organizations meet security and ISO 42001 requirements while simultaneously preparing for future AI regulations and evolving compliance needs. By putting these foundational elements in place, organizations create a strong framework for responsible AI management. Ongoing monitoring and continuous improvement ensure that AI systems remain secure, compliant, and aligned with evolving expectations and regulations.
Benefits of implementing ISO 42001
By putting formal controls in place, organizations can effectively reduce legal and compliance risks associated with AI-driven decisions. ISO 42001 implementation can create a competitive advantage in bids and partnerships when working with clients who expect strong expertise standards. This system builds on the ISO High Level Structure, and can easily be integrated with other management systems. ISO 42001 aligns with existing ISO programs like ISO 27001, which makes it even easier for organizations to integrate AI.
Key challenges of implementing ISO 42001
Although ISO 42001 offers a structured approach to AI governance, organizations can still face significant hurdles during implementation.
- Lack of visibility and shadow AI
One such issue is the absence of a complete and accurate AI inventory, which makes it difficult to assess risks and apply necessary controls, especially when employees independently adopt third-party tools like ChatGPT, Copilot, or embedded AI features in SaaS platforms. This “shadow AI” creates governance blind spots and increases the risk of data leaks and compliance violations. ISO notes that AI management requires structured policies and processes across the organization, which can be difficult to establish without centralized oversight.
- Establishing clear governance roles and accountability is yet to be a difficult task
ISO 42001 requires defined ownership, oversight, and accountability for AI systems, but many organizations lack dedicated AI governance roles. Without clearly assigned responsibilities, AI systems may operate without proper monitoring, increasing the risk of incorrect decisions, security incidents, or regulatory exposure. Unclear ownership of AI-related risks further complicate governance, particularly when responsibilities are split between IT teams, security, compliance, and business units.
- Aligning AI governance with existing compliance and security programs
Additionally, integrating AI governance into an existing ISMS can be complex and sometimes requires alignment of policies, controls, and reporting structures. Organizations must integrate AI governance into their existing governance programs. This often requires coordination across security, legal, engineering, and compliance teams, which are often scarce.
- Shortage of internal expertise in AI governance and risk management
AI governance is a relatively new discipline, and many organizations lack personnel with experience managing AI-specific risks such as model integrity, data leakage, or bias. This slows implementation and increases reliance on external expertise or consulting support.
Ongoing monitoring of AI tools also presents a challenge, as organizations must ensure third-party providers meet security requirements while technologies continue to rapidly evolve.
How Planet 9 can help with ISO certification
Planet 9 supports organizations pursuing ISO 42002 certification by providing structured guidance, hands-on implementation support, and direct audit coordination to simplify the path to certification.
- Comprehensive gap analysis to identify where current controls fall short of ISO 42002 requirements
- Focused remediation plan designed to efficiently close gaps and align with the standard
- Hands-on implementation support throughout the certification journey
- Direct interface with auditors to streamline communication and ensure a smooth audit process
- Structured assessment and audit readiness support to turn compliance into a clear, manageable path to certification
