Data Security In The Age Of Generative Ai
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Data Security In The Age Of Generative Ai
Published 10/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 16m | Size: 362 MB
Protect sensitive data, prevent AI misuse, master prompt security, and build responsible GenAI practices at work.
What you'll learn
Discover how Generative AI systems process data from training to output, and pinpoint where security vulnerabilities can appear.
Analyze why organizations restrict access to AI tools and how enterprise-level controls protect sensitive information.
Classify different types of data-public, internal, confidential, and regulated-to decide what can safely be shared with GenAI tools.
Apply masking, anonymization, and safe prompting techniques to prevent accidental data exposure during AI-assisted work.
Identify real-world cases of prompt injection and recognize how malicious instructions can be hidden inside everyday text or documents.
Differentiate between direct and indirect prompt injection attacks and evaluate how each one compromises AI behavior.
Implement defensive habits such as separating instructions from content, setting clear prompt boundaries, and auditing outputs for accuracy and risk.
Use the STOP Method (Scan, Test, Observe, Pause) to review AI-generated outputs before sharing or publishing them.
Adopt the "Validate → Escalate → Approve" review framework to ensure AI outputs meet organizational accuracy, privacy, and compliance standards.
Develop a proactive mindset for identifying, reporting, and mitigating GenAI-related security incidents within your workplace.
Requirements
No prior experience with data security or AI is required - all key concepts are explained from the ground up.
Description
Are you excited about the power of Generative AI but worried about how to keep your company's data safe while using it? Do you ever wonder what really happens when you paste information into ChatGPT, Copilot, or Gemini - and whether it's truly secure?If you work with AI tools and want to protect sensitive information, prevent data leaks, and build trustworthy AI workflows, this course is for you.In today's workplace, Generative AI can write, code, analyze, and automate - but every prompt you type and every output you share can carry hidden risks. This course will help you bridge the gap between AI productivity and data protection, so you can confidently use Generative AI without crossing security or compliance lines.What makes this course uniqueUnlike typical AI safety overviews, this course combines real-world corporate examples, security workflows, and relatable case discussions that connect directly to the way professionals use AI every day. You will see how data actually moves through AI systems, where vulnerabilities appear, and what smart organizations do to close those gaps.Through engaging video lectures and scenario-based quizzes, you will develop the mindset and habits to stay both productive and compliant in the AI era.In this course, you willIdentify the trust gap between AI's power and enterprise data restrictions.Map the entire GenAI workflow - from training data to inference and outputs - to pinpoint where risks emerge.Develop safe prompting and data-handling habits that prevent leaks and misuse.Master prompt injection awareness - understanding how words themselves can become cyberattacks.Apply practical defense methods like masking, anonymization, and the STOP audit technique.Adopt a "Validate → Escalate → Approve" review framework to ensure all AI outputs remain accurate and compliant.Recognize signs of suspicious AI behavior and apply real-life reporting practices.Strengthen your organization's defense with layered safeguards, workspace security, and responsible AI culture.Why learn about Data Security in the Age of GenAIBecause every AI prompt is a potential data decision. Whether you are a manager, analyst, developer, HR professional, or consultant, your daily work likely involves interacting with GenAI tools. Understanding how to use them safely is no longer optional - it is a core digital skill for the future of work.This course shows you how to balance innovation with control, helping you protect not just data but also trust, reputation, and compliance within your organization.Take the next stepIf you are ready to use Generative AI responsibly without putting your company, clients, or yourself at risk, this course will give you the framework, confidence, and habits to do it right.Enroll now and become part of the new generation of AI-powered professionals who know how to protect data in the age of GenAI.See you in the course!
Who this course is for
Managers and team leads who want to establish responsible AI usage practices within their departments.
Leaders and decision-makers who want to build organization-wide trust and accountability in the adoption of Generative AI.
Corporate professionals who want to use Generative AI tools safely without violating company data policies.
Data analysts and engineers who want to prevent data leaks while integrating AI into their workflows.
HR and compliance officers who want to ensure employee and client information remains protected in AI-assisted tasks.
Consultants and freelancers who want to handle client data responsibly when using Generative AI platforms.
Leaders and decision-makers who want to build organization-wide trust and accountability in the adoption of Generative AI.
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Kod:
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Kod:
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