Shadow AI Enterprise: Essential Compliance Controls

Description and use

<p>Employees often adopt generative AI before security teams can evaluate it. That speed creates the <strong>shadow AI enterprise</strong> problem: business data enters unapproved models without consistent access controls, retention rules, or audit evidence. A useful prompt can quietly become a compliance incident when it contains customer records, source code, contracts, credentials, or protected health information.</p> <h2> Why Shadow AI Enterprise Usage Is Hard to Control </h2> <p><strong>Shadow AI is the use of artificial intelligence systems without formal approval, monitoring, or governa

Problem

<p>Employees often adopt generative AI before security teams can evaluate it. That speed creates the <strong>shadow AI enterprise</strong> problem: business data enters unapproved models without consistent access controls, retention rules, or audit evidence. A useful prompt can quietly become a compliance incident when it contains customer records, source code, contracts, credentials, or protected health information.</p> <h2> Why Shadow AI Enterprise Usage Is Hard to Control </h2> <p><strong>Shadow AI is the use of artificial intelligence systems without formal approval, monitoring, or governa

Outcome

<p>Employees often adopt generative AI before security teams can evaluate it. That speed creates the <strong>shadow AI enterprise</strong> problem: business data enters unapproved models without consistent access controls, retention rules, or audit evidence. A useful prompt can quietly become a compliance incident when it contains customer records, source code, contracts, credentials, or protected health information.</p> <h2> Why Shadow AI Enterprise Usage Is Hard to Control </h2> <p><strong>Shadow AI is the use of artificial intelligence systems without formal approval, monitoring, or governa

Evidence

Shadow AI Enterprise: Essential Compliance Controls

Source