When generative AI tools became prevalent in late 2022, employees across various industries quickly recognized their potential for enhancing productivity. Many organizations, concerned about sensitive data safety, responded by blocking access to these tools. However, this approach has led to the emergence of 'Shadow AI', where employees circumvent restrictions, moving sensitive tasks outside the enterprise's monitoring. The rise of AI traffic indicates that blocking is ineffective long-term, mirroring past challenges with SaaS adoption. A better strategy involves providing secure, sanctioned tools that meet employee needs.
Blocking unapproved AI apps may make usage appear to drop to zero on reporting dashboards, but in reality, your organization isn't protected; it's just blind to what's actually happening.
Faced with the risk of sensitive data being fed into public AI interfaces, many organizations responded with urgency and force: They blocked access.
Collection
[
|
...
]