Event-Triggered Security Training Prompts in Enterprise User Flows

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Solution Overview

Problem

Conventional cybersecurity training sessions are often lengthy and generic, failing to address specific user needs, leading to inefficiency and reduced effectiveness.

Innovation Solution

A computing platform monitors user devices for triggering events and generates targeted, interactive cybersecurity training prompts based on user profiles and event details, assessing user responses to update cybersecurity scores and potentially modify system settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If conventional lengthy training sessions are deployed to users, then comprehensive cybersecurity coverage is achieved, but user engagement and effectiveness decrease

Engineering Contradiction:

Improvetraining content coverageVSAvoiduser engagement

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The patent segments comprehensive cybersecurity training into smaller, targeted modules triggered by specific events. Instead of delivering lengthy generic training sessions, the system divides training content into discrete prompts delivered at relevant moments during user workflows, making training more manageable and engaging while maintaining comprehensive coverage across multiple touchpoints

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The training system transitions from static, predetermined lengthy sessions to dynamic, event-triggered micro-training. The system adapts training delivery based on real-time user actions, device events, and contextual factors, providing training content that is delivered dynamically when and where it is most relevant to the user's current activity

Inventive Principle:

Principle #15Dynamics

2Ease of manufacture

If generic training content is deployed to all users, then implementation simplicity is maintained, but training effectiveness for specific user needs decreases

Engineering Contradiction:

Improvetraining deployment simplicityVSAvoidtraining effectiveness

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The system applies local quality by customizing training content to match specific user characteristics, device types, events, and contextual factors. Each user receives training tailored to their local situation rather than generic content, with training prompts adapted to user role, device platform, specific triggering events, and current workflow context, thereby significantly improving relevance and effectiveness

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system performs preliminary action by pre-configuring multiple trained models with different training content strategies for different user segments, device types, and event scenarios. These models are prepared in advance with customized training content based on user profiles and historical data, enabling rapid deployment of personalized training without complex real-time processing

Inventive Principle:

Principle #10Preliminary action

3Device complexity

If standalone training modules are deployed, then training delivery is simplified, but relevance to specific user issues decreases

Engineering Contradiction:

Improvetraining system complexityVSAvoidtraining relevance

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system achieves universality by creating a multi-functional training platform that operates across diverse devices, user roles, and event types through a unified event-driven architecture. The same core system handles training delivery for mobile devices, desktops, tablets, various user roles, and multiple triggering events, adapting its behavior through configuration rather than requiring separate standalone modules for each scenario

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12609045B2Dynamically injecting security awareness training prompts into enterprise user flows

Publication Date: 2026.04.21 PROOFPOINT INC

AI summary

Aspects of the disclosure relate to dynamic cybersecurity event detection and training functions. A computing platform may monitor a plurality of user devices to detect a cybersecurity training triggering event. In response to the detection, one or more cybersecurity training session prompts may be generated and transmitted to one or more user devices. User input providing a response to the cybersecurity training session prompt may be evaluated for accuracy and scored for the cybersecurity training session. In some examples, an overall cybersecurity score for a user may be maintained and modified based on the score for the cybersecurity training session. One or more modifications may be identified and executed based on the scores generated.