GenAI and the Boardroom: What Every Director Must Know About the OWASP GenAI Top 10

OWASP isn’t new to the security world — they’ve been a trusted foundation for decades, protecting the software development ecosystem from critical risks like SQL injection, cross-site scripting, and insecure design.

Now, they’ve turned their attention to Generative AI.

The OWASP Top 10 for LLMs (Large Language Models) builds on that same legacy — providing a practical, battle-tested framework to identify and mitigate the biggest risks AI brings to your business.

Generative AI isn’t “on the horizon” — it’s already operating inside your company. And so are the new risks it introduces.

As a Board member, your role isn’t just about encouraging innovation. It’s about overseeing risk, ensuring responsible adoption, and safeguarding long-term enterprise value.

Understanding the OWASP GenAI Top 10 isn’t just a “nice to have” for your CISO and CTO. It’s now a critical governance responsibility for the Board.

Why Boards Should Care About OWASP GenAI Now

Generative AI systems like ChatGPT, Claude, Gemini, and custom internal models are increasingly powering:

• Customer service interactions
• Legal document generation
• Software coding
• Financial analysis
• HR screening and communications

But GenAI models bring new risks that traditional security frameworks don’t fully cover.

Already, companies have suffered:

• Sensitive data leaks via AI prompts
• IP exposure through model training
• Legal and regulatory investigations from inappropriate AI outputs
• Reputational damage due to AI “hallucinations” (confidently wrong information)

In short: The lawsuits are coming. Some are already here.

What Should Boards Be Asking Management Right Now?

If you’re on the board, your oversight role includes asking questions like:

• Where is GenAI being used across the business? (Is it customer-facing? Internal? Third-party tools?)
• Has the OWASP GenAI Top 10 been mapped to these use cases?
• What controls are in place to prevent prompt injections and data leaks?
• How is sensitive information being protected when interacting with GenAI?
• What governance exists over third-party AI vendors and plugins?
• Are employees being trained on GenAI risks?
• What breach or incident response planning includes GenAI-specific scenarios?

GenAI Risk is a Governance Issue, Not Just a Technology Issue

The companies that treat GenAI risk seriously — today — will avoid brand damage, legal action, and costly recovery efforts tomorrow.

🔗 Read the full OWASP GenAI Top 10 here