How CISOs can balance AI innovation and security risk

<p paraeid=”{c5710b6e-dc97-4ab0-979a-93ab83745677}{25}” paraid=”736753854″><span xml:lang=”EN-US” data-contrast=”auto”>The tradeoff between embracing innovation and protecting the organization is one of the most daunting decisions security leaders face. With AI emerging as such a powerful utility for both threat actors and cybersecurity defenders, organizations must balance AI’s benefits with risk exposure. This balancing act grows increasingly difficult as AI adoption accelerates across security operations centers, cloud deployments and threat management scenarios.</span><span data-ccp-props=”{}”>&nbsp;</span></p>
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<p paraeid=”{c5710b6e-dc97-4ab0-979a-93ab83745677}{157}” paraid=”537643016″><span xml:lang=”EN-US” data-contrast=”auto”>CISOs and IT leaders require practical, risk-based approaches to evaluating AI’s role as the technology continues to evolve and integrate into cybersecurity operations.</span><span data-ccp-props=”{}”>&nbsp;</span></p>
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<h2 paraeid=”{c5710b6e-dc97-4ab0-979a-93ab83745677}{197}” paraid=”2131074244″ aria-level=”2″ role=”heading”><span xml:lang=”EN-US” data-contrast=”none”><span data-ccp-parastyle=”heading 2″>AI is a CISO decision</span></span><span data-ccp-props=”{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}”>&nbsp;</span></h2>
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<p paraeid=”{c5710b6e-dc97-4ab0-979a-93ab83745677}{203}” paraid=”358350450″><span xml:lang=”EN-US” data-contrast=”auto”>While AI remains an inescapable buzzword, its context has shifted from an experimental technology to a </span><a rel=”noreferrer noopener” target=”_blank” href=”https://www.techtarget.com/searchenterpriseai/feature/6-key-benefits-of-AI-for-business”><span xml:lang=”EN-US” data-contrast=”none”><span data-ccp-charstyle=”Hyperlink”>core component of operational success</span></span></a><span xml:lang=”EN-US” data-contrast=”auto”>.</span><span data-ccp-props=”{}”>&nbsp;</span></p>
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<p paraeid=”{017756ba-2439-462d-afd4-4cc8619c3953}{4}” paraid=”87891195″><span xml:lang=”EN-US” data-contrast=”auto”>AI-driven security introduces two competing truths that CISOs and security leaders must address. On the one hand, it can scale defenses, reduce analyst fatigue and enable faster incident response. On the other hand, it expands the </span><a rel=”noreferrer noopener” target=”_blank” href=”https://www.techtarget.com/whatis/definition/attack-surface”><span xml:lang=”EN-US” data-contrast=”none”><span data-ccp-charstyle=”Hyperlink”>attack surface</span></span></a><span xml:lang=”EN-US” data-contrast=”auto”>, introduces new failure modes, and raises governance and compliance questions. Reconciling these two outcomes requires executive oversight, clear accountability and a risk-based approach to managing AI adoption. Decisions affect risk posture, regulatory exposure and operational resilience. As such, CISOs are stewards of both AI security and responsible AI use.</span><span data-ccp-props=”{}”>&nbsp;</span></p>
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<h2 paraeid=”{017756ba-2439-462d-afd4-4cc8619c3953}{72}” paraid=”344816177″ aria-level=”2″ role=”heading”><span xml:lang=”EN-US” data-contrast=”none”><span data-ccp-parastyle=”heading 2″>AI security risks</span></span><span data-ccp-props=”{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:200,&quot;335559739&quot;:0}”>&nbsp;</span></h2>
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<p paraeid=”{017756ba-2439-462d-afd4-4cc8619c3953}{82}” paraid=”311776598″><span xml:lang=”EN-US” data-contrast=”auto”>AI introduces the following distinct, practical risks that security leaders must understand before deploying at scale:</span><span data-ccp-props=”{}”>&nbsp;</span></p>
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