Video: Data Protection

In this lesson, Nick Palazzolo, CPA, dives deep into the essential strategies and techniques for data protection throughout various stages of application lifecycle management. From the initial design to deployment and ongoing maintenance, Nick breaks down complex security measures like data obfuscation, tokenization, encryption, access controls, and data masking. He explains how each method helps safeguard sensitive information, ensuring that only authorized personnel have access while maintaining data usability for developmental and testing purposes. Nick also highlights the importance of regular audits and compliance checks to verify the effectiveness of these protections. Additionally, he introduces the concept of pseudonymization, offering a clear explanation of its role in privacy law compliance and data management. This comprehensive overview arms you with the necessary knowledge to implement robust data protection strategies effectively.<br>

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Video Transcript

Instructor: Nick Palazzolo

Nick Palazzolo is head instructor of ExamPrep.ai CPA Review. Nick's teaching style is engaging & upbeat, combining practical Big 4 tax & assurance expertise with years of 1-on-1 coaching. His lessons are concise and emphasize what you need to know to pass. Whether you're a recent grad or working full-time, we’re confident you can conquer your CPA exams with Nick’s review.

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Talking about data protection, protecting confidential data during all of our steps, during the design, development, testing, and implementation of applications, is going to be critical to maintain our security and integrity. We have various methods that we can employ at different stages of the application lifecycle, so designing everything, developing it, testing it, and implementing it. Now, we also generally talk about the design, implementation, and monitoring of controls overall, definitely an important point that we talk about throughout all of our lessons and all of our topics as well. Now, first, we've got data obfuscation. This is the process of disguising original data to prevent unauthorized access, while still allowing the data to be useful for development and testing. What's the application of this? Well, for design and development, we use obfuscated data in development environments to protect sensitive information, while allowing developers to work with realistic datasets. And during testing, we implement obfuscated data in test environments to prevent exposure of sensitive data to unauthorized personnel or third parties. We also have tokenization. This is the process of substituting sensitive data elements with non-sensitive equivalents, known as tokens, which have no extrinsic or exploitable value. Applications here. We can use tokenization to ensure that actual sensitive data is not present in development and test environments, reducing the risk of data breaches. I mean, think about a token at a casino. Think about a chip. That's exactly what we're talking about here, where instead of using the actual data, you're using a token, right? You're using something instead of it. In casinos, they don't want you walking around with dollar bills, so they give you tokens worth $5, $10. It's probably the most I'd see. I'm not a big high roller over there. For implementation, we tokenize sensitive

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Confidentiality, Privacy, & Incident Response

Module: 2 Concepts, 20 Videos

Confidentiality and Privacy - Overview

0:52

Introduction to Confidentiality and Privacy

2:24

Fundamentals of Encryption

3:29

Confidentiality vs. Privacy