Contextual Feedback System for Phishing Reports
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Solution Overview
Problem
Current systems lack effective mechanisms for providing users with contextual feedback after reporting suspicious electronic communications, such as phishing attacks, which can lead to user uncertainty and decreased morale.
Innovation Solution
A system configured to provide contextual feedback to users who report electronic communications, utilizing a set of rules associated with indicators of suspicious activity. These rules trigger feedback snippets that are automatically delivered to the user, along with the option for user surveys and feedback ratings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users report suspicious electronic communications, then security monitoring and detection capability is improved, but user uncertainty and decreased morale occur due to lack of feedback
Solution Approach 1:
The system implements an automated feedback mechanism that sends notifications to users after their reports are processed. The feedback includes the disposition of the reported communication (e.g., confirmed phishing, false positive) and relevant security information, directly addressing the lack of user feedback and improving morale while maintaining security detection capabilities
2Adaptability or versatility
If contextual feedback is provided to users after reporting, then user engagement and education are enhanced, but system complexity increases due to rule configuration and feedback generation
Solution Approach 1:
The system uses automated rule-based processing to generate contextual feedback without requiring manual security analyst intervention. Pre-configured rules automatically analyze reported communications and generate appropriate feedback messages, reducing system complexity while maintaining adaptability and user engagement
Solution Approach 2:
The system pre-configures multiple feedback templates and rules before deployment, covering various phishing scenarios and outcomes. This preliminary preparation allows the system to quickly generate contextual feedback without complex real-time decision-making, balancing adaptability with manageable system complexity
3Loss of information
If automated feedback delivery is implemented, then user education and threat detection ability improve, but information processing requirements increase
Solution Approach 1:
The feedback system segments information delivery by providing targeted, context-specific feedback based on the type of threat detected and user interaction level. Rather than sending comprehensive security training to all users, the system delivers concise, relevant information only to users who reported specific threats, reducing information processing requirements while effectively reducing knowledge loss
Data Source
AI summary
The disclosure provides computing platforms, systems, methods, and storage media for delivering contextual feedback to a user of a potential cybersecurity attack, such as a phishing attack. In an aspect, the disclosure provides: configuring, via a processor, a plurality of rules, each rule associated with an indicator of suspicious activity and a feedback snippet corresponding to the indicator; receiving, at the processor, a report of a potentially malicious electronic communication; triggering, at the processor, a rule of the plurality of rules based on the associated indicator and the report of the electronic communication; generating, at the processor, feedback comprising the feedback snippet associated with each triggered rule; automatically providing the feedback to the user.