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ISO Standards for Security, Privacy & AI: What Your Organization Needs to Know

Published
Sep 29, 2025
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Organizations handling sensitive data must navigate the growing complexity of cybersecurity, privacy, and AI governance—especially as trust and accountability become business essentials. In this video, you’ll learn about three key ISO standards (27001, 27701, and 42001), why they matter, common implementation challenges, and practical steps to strengthen your compliance posture.


Transcript

Dan Matthewson:

Across industries, organizations are making cybersecurity, privacy and AI governance central to their operational resilience. As organizations grow and mature, especially for those dealing with sensitive information, demonstrating trust and accountability is no longer an option.

Hi, my name is Dan Matthewson. I'm a Senior Manager at EisnerAmper. I've spent a decade in the IT risk, audit and advisory space, helping organizations of many shapes and sizes navigate the ever-changing landscape of compliance. In this video, we'll cover why ISO 27001, 27701, and 42001 matter in today's business environment, common challenges organizations often face while implementing them, the risk of not taking action, and a few practical solutions. Beginning with awareness, understanding these standards early on will help you avoid roadblocks later. If your organization is global, data focused, AI enabled, aligning with these standards is highly relevant. First, ISO 27001 deals with information security and helps establish a formal information security management system to help protect your information assets.

Second is ISO 27701. This extends the management system to cover off imprivacy and helps organizations with global regulations like GDPR. And then third is ISO 42001, which is the newest of the three standards, and it covers AI governance, providing a framework to manage risk, responsibilities and associated with artificial intelligence. These frameworks help you and your organization continue to meet rising customer expectations while also setting your organization apart in the process. It's common for organizations to face time pressures, lean teams or uncertainty around where to begin, making these structured frameworks do a lot of reach. Clients frequently encounter unclear ownership over information security and privacy functions, gaps in documentation or supporting processes or control activities, a limited understanding of emerging AI governance expectations. And oftentimes, organizations wait until a client asks about their controls, their compliance, and then scramble to respond. So there are risks of inaction or simply not responding.

Might be missed business opportunities due to compliance or security gaps, delays in contractual negotiations or product launches, and even higher insurance premiums due to increased risk perception by your insurer. The good news is you don't have to tackle everything at once or alone. You have options. Begin with a readiness assessment. Understand your current posture against these standards. Create a compliance roadmap and align it with your business goals, or even leverage external expertise to build momentum efficiently. So what is next? When should you start? Ideally, before risk or compliance becomes that blocker. If you haven't already, evaluate your current posture against the security, privacy, AI requirements. Now is the time. Do you want to explore what this could look like for your organization? We'd be happy to help. Feel free to reach out with any questions or simply to start a conversation.

 


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Dan Mathewson

Dan Mathewson is a Senior Manager in the firm's Accounting & Audit group and has nearly 10 years of experience.


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