Cloud Security Proxy for Microsoft Teams Data Exfiltration
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Solution Overview
Problem
Cloud-based collaboration tools like Microsoft Teams lack effective mechanisms to prevent unauthorized data exfiltration and malicious file transfers between sanctioned and unsanctioned tenant instances, posing risks of data leakage and phishing attacks.
Innovation Solution
Implementing a cloud-based security system with deep packet inspection (DPI) inline proxy that identifies tenant identities and enforces instance-based policies to block sensitive content sharing and malicious file transfers, allowing fine-grained control over user actions in both sanctioned and unsanctioned workspaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud-based collaboration tools allow access between sanctioned and unsanctioned tenant instances, then collaboration versatility is improved, but data exfiltration risk increases
Solution Approach 1:
The patent introduces a cloud-based security system as an intermediary between sanctioned and unsanctioned tenant instances. This security system includes a proxy that intercepts, inspects, and controls data traffic, allowing collaboration to continue while preventing unauthorized data exfiltration through active monitoring and policy enforcement.
Solution Approach 2:
The patent segments the collaboration environment into sanctioned and unsanctioned tenant instances with distinct access controls. By dividing the network architecture and applying separate security policies to each segment, the system enables controlled collaboration while isolating potential data leakage paths.
2Reliability
If deep packet inspection is implemented to detect sensitive content, then data security is improved, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional security proxy that performs deep packet inspection, tenant identification, policy enforcement, and data loss prevention all within a single integrated system. This universal approach consolidates multiple security functions rather than requiring separate systems for each function.
Data Source
AI summary
The disclosed technology teaches securing a collaboration tool against unauthorized data exfiltration and malicious files, setting policies for file exfiltration to external guest users, uploading users in the external category, and using a proxy that intercepts an add request and response for a collaboration tool. The add response contains a tag identifying the invited user in the category. The request doesn't identify the user as a guest. Also taught is storing metadata identifying the user in the guest category for applying policies, and using a proxy that intercepts a user request and response for file transfer, and looking up and identifying the user as in the category, and applying the applicable policy. Responsive to the policy, included is invoking DPI and detecting that the referenced file contains sensitive information not permitted by the policy to be transferred by the particular user in the external guest category and blocking file transfer.


