Runtime Application Instrumentation for Privileged Transaction Blocking
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Solution Overview
Problem
Existing application performance management (APM) solutions lack effective mechanisms to prevent abuse by privileged users, as they rely on binary security mechanisms that do not account for potential misuse of privileges.
Innovation Solution
Implement instrumentation code in online applications to capture transaction data, send approval requests to authorizers, and block transactions based on received responses, thereby preventing abuse by privileged users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If binary security mechanisms are used to determine user privileges, then security check simplicity is improved, but vulnerability to privileged user abuse increases
Solution Approach 1:
The system transitions from static binary security checks to dynamic transaction monitoring. The instrumentation code continuously observes user actions and dynamically determines whether to block transactions based on real-time analysis of user behavior patterns, device characteristics, and transaction context, rather than relying solely on fixed privilege levels.
Solution Approach 2:
The system introduces an intermediary layer between the user and the application logic through instrumentation code. This intermediary monitors and analyzes transactions, acting as a mediator that can intercept and block suspicious actions while allowing legitimate transactions to proceed, thus protecting against abuse without requiring complete system redesign.
2Measurement precision
If instrumentation code is inserted into online application, then transaction monitoring capability is improved, but application performance overhead increases
Solution Approach 1:
The system applies partial monitoring by selectively instrumenting only critical transaction paths and user interactions rather than monitoring every application operation. The instrumentation code focuses on capturing essential transaction data (user actions, device information, transaction context) while leaving non-critical paths uninstrumented, thus reducing overhead while maintaining monitoring effectiveness.
Solution Approach 2:
The system replaces heavy mechanical monitoring approaches with lighter-weight instrumentation techniques. Instead of comprehensive logging and analysis of all application operations, the instrumentation code uses efficient data capture methods that minimize processing overhead, capturing only the essential information needed for abuse detection while maintaining application performance.
3Reliability
If comprehensive transaction monitoring is implemented, then detection of abusive behavior is improved, but system complexity increases
Solution Approach 1:
The instrumentation code is designed to be universal and multi-functional, serving multiple purposes simultaneously: capturing transaction data, analyzing user behavior patterns, detecting suspicious activities, and blocking abusive transactions. This consolidation of multiple functions into a single integrated system reduces overall system complexity compared to having separate specialized components for each function.
Solution Approach 2:
The monitoring system employs self-service mechanisms by automatically learning and adapting to user behavior patterns without requiring manual configuration or intervention. The system autonomously analyzes transaction data, identifies abnormal patterns, and adjusts its detection criteria over time, reducing the complexity of manual system management and configuration.
Data Source
AI summary
In one embodiment, a device obtains data regarding a transaction attempted by a user within an online application that is captured by instrumentation code that is inserted into the online application at runtime, wherein the user has sufficient privileges within the online application to perform the transaction; The device sends, based on the data regarding the transaction, one or more approval requests to one or more authorizers. The device receives one or more responses to the one or more approval requests. The device blocks, and based on the one or more responses, the transaction attempted by the user within the online application via the instrumentation code.


