As organizations adopt generative AI, security practitioners must understand the risks, governance, and controls for this evolving technology, while leveraging existing cybersecurity best practices and considering unique security implications.

<div>
<p>This article introduces the Generative AI Security Scoping Matrix, a framework for understanding and prioritizing security considerations when deploying generative AI solutions.</p>
<p>Specifically, the article covers:</p>
<ul>
<li>The importance of understanding generative AI foundations and associated risks</li>
<li>Defining 5 scopes of generative AI solutions based on ownership and control</li>
<li>Key security disciplines to prioritize for each scope:
<ul>
<li>Governance and compliance</li>
<li>Legal and privacy</li>
<li>Risk management</li>
<li>Controls</li>
<li>Resilience</li>
</ul>
</li>
<li>Examples and guidance for addressing each security discipline across the scopes</li>
<li>Conclusion emphasizing the applicability of existing security practices while accounting for generative AI nuances</li>
</ul>
</div>


Securing generative AI: An introduction to the Generative AI Security Scoping Matrix

Related articles