Enterprises Adopt Low-Code To Control Shadow AI
Executives are confronting widespread "Shadow AI"—employees using unsanctioned generative-AI tools and inputting sensitive corporate data, despite 97% of firms having restrictive policies, according to a Cisco report. Companies face IP and compliance risks under GDPR and CCPA and struggle to scale pilots due to integration and talent gaps. Many are adopting low-code platforms as governed on-ramps, enabling controlled model access, audit trails, and faster production deployments, Gartner forecasts over 75% low-code adoption by 2026.
Key Points
- 1Detects widespread Shadow AI use: employees input proprietary data into consumer generative-AI tools, bypassing policies.
- 2Creates IP theft, compliance risks under GDPR/CCPA, and undermines enterprise AI deployment readiness.
- 3Adopts low-code platforms to centralize governance, control data access, audit usage, and accelerate production deployments.
Scoring Rationale
Strong industry relevance and actionable mitigation via low-code; limited novelty, mainly synthesizes existing reports rather than new findings.
Sources
Public references used for this report.
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