Misappropriation Attempt Engine for Social Engineering Detection

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Solution Overview

Problem

Existing systems struggle to accurately, efficiently, and dynamically detect data misappropriation attempts across electronic communication platforms, particularly when social engineering tactics are employed to deceive recipients.

Innovation Solution

A system comprising a misappropriation attempt engine that analyzes electronic communications to identify potential misappropriation attempts by parsing orders, applying background tactic training data, and generating a misappropriation attempt rating based on recipient and sender accounts, using machine learning models to improve detection accuracy and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual detection methods are used to identify misappropriation attempts, then users and account managers can review communications, but the detection accuracy and efficiency deteriorate due to difficulty in discerning social engineering tactics

Engineering Contradiction:

Improvedetection accuracyVSAvoiddifficulty in discerning misappropriation attempts

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces manual mechanical review processes with an automated machine learning system. The misappropriation attempt engine uses trained models to automatically analyze communications, parse content, and detect social engineering tactics without requiring human users to manually discern suspicious patterns. This substitution of mechanical human review with automated computational analysis directly resolves the contradiction by maintaining high detection accuracy while eliminating the operational difficulty of manually identifying misappropriation attempts.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary misappropriation attempt engine between the communication and the user. This engine acts as a mediator that receives communications, applies trained detection models, and provides analysis results to users. The intermediary handles the complex task of detecting social engineering tactics, allowing users to benefit from accurate detection without directly engaging in the difficult discernment process.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive analysis of communications is performed to detect misappropriation attempts, then detection accuracy improves, but computational resources and time consumption increase

Engineering Contradiction:

Improvedetection accuracyVSAvoidcomputational resources

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies preliminary action by pre-training the misappropriation attempt engine with extensive threat communication data sets before deployment. The model learns detection patterns and features in advance during the training phase, so that during actual operation, it can make accurate detections with reduced computational overhead. The parsing and analysis rules are pre-configured based on known threat patterns, enabling efficient real-time detection without requiring exhaustive analysis of every communication from scratch.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent utilizes parameter changes by adjusting the sensitivity and threshold parameters of the detection engine based on the trained model's performance. The system can dynamically modify detection parameters such as confidence thresholds, analysis depth, and resource allocation based on the specific communication being analyzed and the detected risk level. This allows the system to maintain high detection accuracy while optimizing computational resource usage by applying more intensive analysis only when necessary.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If dynamic tracking of each communication is implemented, then detection efficiency improves, but system complexity increases

Engineering Contradiction:

Improvedetection efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a universal misappropriation attempt engine that handles multiple communication types (emails, text messages, voicemails, phone calls) through a single integrated system. The engine performs multiple functions including parsing, analysis, threat detection, and rating generation within one unified platform. This multi-functional approach enables dynamic tracking of communications across different platforms and formats while avoiding the complexity of implementing separate detection systems for each communication type.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12627708B2Systems, methods, and apparatuses for detection of data misappropriation attempts across electronic communication platforms

Publication Date: 2026.05.12 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein for detection of data misappropriation attempts across electronic communication platforms. The present invention is configured to identify a recipient user account, wherein the recipient user account has received a current communication; parse the current communication to identify at least one order for the recipient user account; identify at least one potential outcome based on the at least one order for the recipient user account; determine the potential outcome comprises a misappropriation; apply a misappropriation attempt engine to the current communication; and generate, by the misappropriation attempt engine, a misappropriation attempt rating for the current communication.