Snowflake inc. (20240281530). APPLICATION TRUST FRAMEWORK simplified abstract

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 20240281530 titled 'APPLICATION TRUST FRAMEWORK

The abstract describes an anti-abuse system for a data platform that includes an anti-abuse scanner to detect malicious content in an application package created by a content provider.

• The anti-abuse scanner reviews the set of files in the application package based on analysis rules to determine if there is any malicious content present.
• Based on the results of the review, the scanner generates a deployment decision for the application package.
• The system aims to prevent abuse and ensure the security of the data platform by detecting and preventing the deployment of malicious content.

Potential Applications: - This technology can be used in various data platforms to prevent the deployment of malicious applications. - It can be utilized by content providers to ensure the security of their applications before deployment.

Problems Solved: - The system addresses the issue of abuse and malicious content being deployed on data platforms. - It helps in maintaining the security and integrity of the data platform by detecting and preventing the deployment of harmful content.

Benefits: - Enhanced security of data platforms. - Prevention of abuse and malicious content deployment. - Increased trust and reliability for content providers and users.

Commercial Applications: Title: Anti-Abuse System for Data Platforms: Commercial Applications and Market Implications This technology can be commercialized by data platform providers to offer enhanced security features to their users. It can also be marketed to content providers looking to ensure the integrity of their applications.

Prior Art: Research on similar anti-abuse systems in data platforms can be found in the field of cybersecurity and data protection. Companies specializing in data security solutions may have developed similar technologies.

Frequently Updated Research: Stay updated on advancements in cybersecurity, data protection, and anti-abuse technologies to enhance the effectiveness of this system.

Questions about Anti-Abuse Systems: 1. How does the anti-abuse scanner determine if content in an application package is malicious? The anti-abuse scanner uses a set of analysis rules to review the files in the application package and detect any malicious content based on predefined criteria.

2. What are the potential implications of deploying malicious content on a data platform? Deploying malicious content on a data platform can lead to security breaches, data loss, and damage to the platform's reputation. It can also compromise the privacy and security of users' data.

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.