Intelligent Assistant Security System Using Predicted Response Analysis
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Solution Overview
Problem
Intelligent assistants lack adequate security systems to control access, allowing unwanted users to access and utilize their services without authorization, which can lead to unauthorized requests and data breaches.
Innovation Solution
A security system that uses processors to analyze communicated data and interaction history to determine user identity and generate predicted responses, allowing authorized users to control access and authorize secondary users based on policy decisions and social media interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a security system is implemented to control access to intelligent assistants, then unauthorized access is prevented, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by analyzing communication patterns and interaction history before making authorization decisions. The security system proactively establishes baselines of authorized user behavior and predicts whether incoming requests align with these patterns, preventing unauthorized access before it occurs rather than reacting after detection.
Solution Approach 2:
The security system serves itself by using its own collected data about user interactions to make authorization decisions. The system analyzes its own stored communication data and interaction history to automatically determine whether a request should be authorized, without requiring external security infrastructure or manual intervention.
2Reliability
If user identity verification is performed through analyzed communication data, then access security is improved, but processing time increases
Solution Approach 1:
The system performs preliminary analysis by continuously monitoring and storing communication patterns and interaction history as they occur during normal usage. This pre-collected data is then readily available for rapid comparison against new requests, eliminating the need for time-consuming real-time analysis of user behavior patterns when authorization decisions are needed.
3Reliability
If the system monitors interaction history and communication patterns, then unauthorized access detection is enhanced, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential features from communication data and interaction history that are relevant for authorization decisions. Rather than processing entire communication logs, the system identifies and analyzes specific patterns such as voice characteristics, communication styles, and interaction behaviors, reducing the processing burden while maintaining detection effectiveness.
Data Source
AI summary
A security system executing on an intelligent assistant is provided. A computing device receives communicated data from a user within a threshold level of proximity of an intelligent assistant. A computing device determines an identity of the user based, in part, on the communicated data. Responsive to a computing device (i) analyzing the communicated data and (ii) a history of interactions between the user and an authorized user of the intelligent assistant, the one or more processors generate a predicted response of the authorized user to the communicated data. A computing data communicated the predicted response to the user via the intelligent assistant.