With shadow AI, the use of unsanctioned AI tools in the enterprise, employees are often looking for quick fixes for work tasks or help with meeting transcripts.
It seems innocuous, butshadow AI can lead to data breaches, security and compliance issues. Even if organizations approve AI tool use, they need to make sure they have proper governance in place to prevent issues.
Below are six articles that discuss shadow AI, concerns around using it and what organizations should do when shadow AI use occurs.
Approved applications can also fall prey to shadow AI perils
Shadow AI is the use of unsanctioned AI tools, but even approved applications can have risks if organizations don’t focus on AI governance.
Shadow AI can be stopped when workers get better options
How to respond when shadow AI leaks company knowledge
Shadow AI can cause security and compliance issues, among other things. When an incident occurs, organizations should focus on learning how and why it happened, containing the risk, working with legal and compliance teams and looking for organizational gaps that can exacerbate shadow AI risks.
Governance lags as shadow AI reshapes collaboration workflows
Shadow AI in UC and collaboration spaces allows workers to use AI assistants to generate transcripts or summaries of meetings. However, there are concerns about data leaks, compliance exposure, a lack of visibility and who, or what, is actually making decisions.
Shadow AI proliferates among knowledge workers
Out of 1,000 knowledge workers, 42% use unapproved AI tools. This unsanctioned AI use happens because workers don’t have access to approved, user-friendly tools.
Workers’ use of shadow AI presents compliance, reputational risks
The use of unsanctioned AI tools can boost productivity and employee satisfaction, but it can cause data privacy, compliance and security concerns for organizations.
