18650636. APPLICATION TRUST FRAMEWORK simplified abstract (Snowflake Inc.)

APPLICATION TRUST FRAMEWORK

Organization Name

Snowflake Inc.

Inventor(s)

Damien Carru of New York NY (US)

Pui Kei Johnston Chu of Richmond Hill (CA)

Benoit Dageville of San Mateo CA (US)

Iulia Ion of Kirkland WA (US)

Unmesh Jagtap of San Mateo CA (US)

Subramanian Muralidhar of Mercer Island WA (US)

James Pan of Oakville (CA)

Nihar Pasala of Mississauga (CA)

Hrushikesh Shrinivas Paralikar of Hayward CA (US)

Jake Tsuyemura of San Mateo CA (US)

Ryan Charles Quistorff of Bellevue WA (US)

Rishabh Gupta of San Francisco CA (US)

APPLICATION TRUST FRAMEWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 18650636 titled 'APPLICATION TRUST FRAMEWORK

Simplified Explanation: The patent application describes an anti-abuse system for a data platform that includes an anti-abuse scanner to detect malicious content in an application package provided by a content provider.

• The anti-abuse scanner reviews the files in the application package based on analysis rules to determine if they contain any harmful content.
• Based on the results of the review, the scanner generates a deployment decision for the application package.

Key Features and Innovation:

• Detection of malicious content in application packages.
• Use of analysis rules to review files for potential abuse.
• Automated generation of deployment decisions based on the review results.

Potential Applications: This technology can be applied in various data platforms to prevent the deployment of harmful content by content providers.

Problems Solved:

• Prevents the deployment of malicious content on data platforms.
• Enhances security and trust in the platform.
• Streamlines the review process for content providers.

Benefits:

• Improved platform security.
• Reduced risk of abuse and malicious activities.
• Efficient content review process.

Commercial Applications: The technology can be used in cloud computing platforms, online marketplaces, and content sharing platforms to ensure the safety and integrity of the data being deployed.

Prior Art: While no specific prior art is mentioned in the abstract, researchers can explore existing technologies related to content scanning and abuse prevention in data platforms.

Frequently Updated Research: Researchers may find relevant studies on malware detection algorithms, content analysis techniques, and platform security measures.

Questions about Anti-Abuse Systems: 1. What are the key components of an effective anti-abuse system? 2. How can anti-abuse systems impact the overall user experience on a data platform?

Original Abstract Submitted

An anti-abuse system is provided for a data-platform. An anti-abuse scanner of the data-platform detects a creation of an application package by a provider of content to the data platform where the application package includes a set of files for deployment on the data platform. The anti-abuse scanner performs a review o the set of files to detect malicious content where the review is based on a set of analysis rules and generates a deployment decision for the application package based on a result of the review.