Report: AI/ML Tool Usage Skyrockets Across Industry Sectors
[Click on image for larger view.] Top Blocked AI Transactions (source: Zscaler).
"This indicates that despite — or even because of — the popularity of these tools, enterprises are working actively to secure their use against data loss and privacy concerns," Zscaler said.
Another chart shows adds the top blocked AI domains.
[Click on image for larger view.] Top Blocked AI Tools and Domains (source: Zscaler).
Zscaler shared four best practices for integrating AI tools into the enterprise:
- Continually assess and mitigate the risks that come with AI-powered tools to protect intellectual property, personal data, and customer information.
- Ensure that the use of AI tools complies with relevant laws and ethical standards, including data protection regulations and privacy laws.
- Establish clear accountability for AI tool development and deployment, including defined roles and responsibilities for overseeing AI projects.
- Maintain transparency when using AI tools — justify their use and communicate their purpose clearly to stakeholders.
The company offered the following takeaway for education institutions when it comes to AI risk:
"In education, data privacy concerns will likely grow as the sector continues to embrace AI tools, specifically surrounding protections afforded to students' personal data. In all likelihood, the education sector will increasingly adopt technological means to block selective AI applications, while providing greater data protection measures for personal data."
The full report can be downloaded from the Zscaler site here (registration required).
About the Author
David Ramel is an editor and writer at Converge 360.