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CBT

AI Chatbots and Sharing Sensitive Information

This CBT educates learners on the risks of sharing confidential or proprietary data with AI chatbots. It explains how data entered into AI tools may be stored, processed, or exposed, and outlines clear guidelines for responsible AI usage in corporate environments. The goal of this training is safe enablement—teaching you how to harness the power of AI responsibly, without turning corporate data into a public lesson for a global model.

  • Learning Objectives
  • Topics Covered
  • Recommended For
  • Features
  • Assessment
  • Compliance
  • Risk Impact
  • Tracking & Reporting

What You Will Learn

  • Understand how free-tier generative AI platforms act as "digital sponges" that retain your queries to continuously train their models for the rest of the world.

  • Identify and protect the organization's "crown jewels," avoiding the exposure of PII, intellectual property, and security vulnerabilities to public AI.

  • Recognize the legal and compliance nightmare of exposing PII to public models under strict regulatory frameworks like GDPR, DPDP, and SOC 2.

  • Distinguish between consumer-grade chatbots and Enterprise AI accounts that come with a contractual "Privacy Shield" ensuring data stays secure.

  • Master Data Sanitization (de-identification) by proactively stripping out identifiable markers before asking an AI for assistance.

  • Apply the "Approved Ecosystem Protocol" by consulting IT for vetted, enterprise-grade AI tools instead of relying on unapproved "Shadow AI".

Topics Covered

Recommended For

All corporate employees using generative AI for daily tasks, summarization, or formatting.Engineering and development teams handling proprietary source code and debugging workflows.Marketing, Finance, and Operations teams dealing with unreleased strategies, financial plans, and PII.Security Champions and IT staff responsible for vetting AI tools and guiding peers toward internal libraries of approved tools.

Training Features

Animated explainer videos breaking down the data ingestion process of public LLMs and the unpredictable "boomerang effect".

Real-life scenarios analyzing the 2023 Samsung incident to demonstrate the irreversible consequences of pasting proprietary code into public AI.

Interactive exercises to practice the Art of Sanitization, identifying and replacing sensitive markers with safe placeholders.

Knowledge checks on classifying PII, Intellectual Property, and Security Vulnerabilities.

Final assessment to validate your mastery of the Approved Ecosystem Protocol and safe AI prompting.

Assessment & Certification

  • Quiz included: Yes
  • Passing score: 80%
  • Attempts allowed: 3
  • You must complete the CBT and pass the assessment to successfully finish this training.

Policy & Compliance Relevance

Information Security Policy

Acceptable Use Policy (Approved Ecosystem Protocol)

Data Privacy Regulations (GDPR, DPDP, SOC 2 compliance)

Intellectual Property Protection Guidelines

How This Training Reduces Risk

  • Completing this CBT helps reduce human risk by improving awareness, strengthening secure behavior, and minimizing the likelihood of security incidents.
  • Neutralizes the "Shadow AI" epidemic by shifting employees away from unvetted public tools toward secure, enterprise-approved alternatives equipped with zero-retention policies.
  • Prevents catastrophic intellectual property and PII leaks by enforcing rigorous data sanitization habits before any AI interaction.
  • Part of continuous risk evaluation.

Tracking & Reporting

  • Training completion and assessment results are recorded for security monitoring, risk assessment, and compliance reporting.
  • Duration: 15 mins
  • Level: Intermediate
  • Category: Application Security
  • Audience:All EmployeesEngineeringMarketingFinanceIT Staff
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