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Cloudflare Confidence Scorecards - making AI safer for the Internet

Blog post from Cloudflare

Post Details
Company
Date Published
Author
Ayush Kumar and Sharon Goldberg
Word Count
1,253
Company Posts That Month
50
Language
English
Hacker News Points
-
Post removed?
No
Summary

Security and IT teams are grappling with the challenges of managing employee adoption of AI tools, which often bypass traditional oversight and create "Shadow AI," posing significant compliance, data privacy, and security risks. To address this, Cloudflare has introduced Application Confidence Scorecards as part of its AI Security features within the Cloudflare One SASE platform, aiming to streamline the evaluation of generative AI and SaaS applications. These scorecards automate the laborious task of assessing the safety and trustworthiness of AI tools by providing a clear score based on factors such as compliance certifications, data management practices, and the maturity of the provider. This innovation allows organizations to implement security policies more confidently, protecting sensitive data and maintaining compliance while embracing technological innovation. Cloudflare's system combines automated data extraction with human validation to ensure accurate scoring, and these scores are integrated into the Cloudflare dashboard, offering real-time updates and enabling enforcement of security policies. Cloudflare's initiative seeks to make AI adoption safer and more secure, providing free access to the scorecards and inviting users to participate in further research on AI security.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 1 1,504 310 125 -10%
Zero Trust 1 112 45 26 -51%
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