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Citizen developers build AI tools, creating risks and opportunities

Citizen development, where employees outside of IT build their own applications using AI tools, is rapidly accelerating within companies. While this momentum offers significant benefits like exact specification of needs and increased engagement, it also introduces risks. These include data fragmentation, redundancy, security vulnerabilities such as exposed credentials, and the creation of 'orphan' applications that become difficult to manage when their creators move on. To address these issues without stifling innovation, organizations should implement a governance framework that includes a shared data layer and centrally managed infrastructure with built-in security guardrails. AI

IMPACT Accelerates internal tool development and data analysis, but requires governance to mitigate risks like data fragmentation and security vulnerabilities.

RANK_REASON Article discusses trends and best practices for managing citizen development in the context of AI, rather than announcing a specific product or event.

Read on Forbes — Innovation →

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Citizen developers build AI tools, creating risks and opportunities

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Joe Zein, Forbes Councils Member ·

    How To Govern Citizen Development Without Killing The Momentum

    Citizen development is happening at your company, but will you build the guardrails before the second-order problems arrive, or after?