PAIE Behavioral Authentication for Identity Theft
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Solution Overview
Problem
Computer systems face significant security breaches due to identity theft and insider espionage, where unauthorized access is difficult to detect, as thieves use stolen identities or insiders misuse access rights, leading to undetected security vulnerabilities.
Innovation Solution
A system utilizing a Programmable Artificial Intelligence Engine (PAIE) that learns user behavior through natural language conversations, detects anomalies, and interrogates suspects to verify identity, combining continuous behavioral modeling and artificial intelligence to secure computer accounts against unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication systems (user names and passwords, smart cards) are used to secure computer systems, then access control is established, but security breaches go undetected when identities are stolen
Solution Approach 1:
The system continuously monitors user behavior and provides feedback by comparing actual behavior against established behavioral profiles. When anomalies are detected, the system triggers alerts and additional authentication challenges, creating a closed-loop security mechanism that adapts to detected threats in real-time
Solution Approach 2:
The patent introduces behavioral analysis software as an intermediary layer between the user and the computer system. This intermediary continuously observes user actions, interprets behavioral patterns, and mediates security decisions by determining whether observed behavior matches legitimate user profiles or indicates potential identity theft
2Object-affected harmful factors
If behavioral monitoring is implemented to detect identity theft, then security detection capability is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by establishing behavioral profiles during an initial monitoring period before full security enforcement begins. This preliminary phase collects baseline data about legitimate user behavior patterns, which are then used to configure the detection algorithms and set appropriate alert thresholds for ongoing security monitoring
Solution Approach 2:
The behavioral analysis system is segmented into distinct functional modules: data collection components that gather user behavior information, analysis components that process and interpret the data, and response components that trigger security actions. This segmentation allows each module to be optimized independently and simplifies the overall system architecture
3Reliability
If continuous behavioral modeling is used to detect suspicious activity, then security monitoring effectiveness is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies partial monitoring by focusing computational resources on specific high-risk behaviors and user accounts rather than uniformly analyzing all user actions. When anomalies are detected, the system intensifies monitoring for that specific user while maintaining baseline monitoring for others, thereby reducing overall processing time while preserving detection effectiveness
Data Source
AI summary
The present invention described secures a computer account against unauthorized access caused as a result of identity-theft, and insider-espionage using artificial intelligence and behavioral modeling methods. The present invention has the ability to detect intruders or impersonators by observing “suspicious” activity under a computer account. When it sees such suspicious behavior, it uses artificial intelligence to authenticate the suspect by interrogation. The present invention asks the suspect questions that only the legitimate computer account owner can verify correctly. If the suspect fails the interrogation, that proves that he/she is an impersonator and therefore further access to the computer account is denied immediately. On the other hand if the suspect passes, access to the computer account is restored. The present invention uses a Programmable Artificial Intelligence Engine (PAIE) to interact with computer users in human natural language. The PAIE can also be programmed to suit other applications where natural language interaction with humans is helpful.