IAPP Exam CIPT Topic 5 Question 82 Discussion

Actual exam question for IAPP's CIPT exam

Question #: 82
Topic #: 5

An organization needs to be able to manipulate highly sensitive personal information without revealing the contents of the data to the users. The organization should investigate the use of?

AAdvanced Encryption Standard (AES)

BHomomorphic encryption

CQuantum encryption

CPseudonymization

Show Suggested Answer

Suggested Answer: B

if an organization needs to be able to manipulate highly sensitive personal information without revealing the contents of the data to the users, they should investigate the use of homomorphic encryption. Homomorphic encryption allows computations to be performed on encrypted data without revealing its contents.

by Pamella at Apr 12, 2024, 03:23 PM

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Thersa

6 months ago

That's true, Pseudonymization can also help protect sensitive information.

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Toi

6 months ago

But what about using Pseudonymization? It replaces identifying information with pseudonyms.

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Tashia

6 months ago

I agree with Homomorphic encryption allows operations to be performed on encrypted data without decrypting it.

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Thersa

6 months ago

I think the organization should use Homomorphic encryption.

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Nelida

6 months ago

While AES is secure, homomorphic encryption allows for more advanced operations to be performed on the data without compromising security.

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Nichelle

6 months ago

But what about AES? It's a widely used encryption standard, wouldn't that be a good option too?

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Malcolm

7 months ago

I agree, homomorphic encryption allows for computations to be performed on encrypted data without decrypting it.

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Nelida

7 months ago

I think the organization should consider using homomorphic encryption.

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Phillip

8 months ago

Alright, alright, let's not get too carried away with the techno-babble here. At the end of the day, the organization needs to be able to actually use the data, right? That's why I'm leaning towards pseudonymization - it's a nice balance between security and usability. Plus, it's probably the most cost-effective solution, and we all know the bean counters are gonna be watching this one like a hawk.

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Delila

7 months ago

Quantum encryption is the future though. It offers a higher level of security compared to traditional encryption methods.

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Jacquelyne

7 months ago

Homomorphic encryption could also be a good choice. It allows computations to be performed on encrypted data.

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Dorothy

7 months ago

But what about AES? Isn't it considered a more secure option?

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Leila

7 months ago

I agree, pseudonymization sounds like the way to go.

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Ona

8 months ago

Ooh, I love a good encryption challenge! *rubs hands together* I'm kind of torn between homomorphic and quantum encryption. They both have their pros and cons, but I think I might have to go with quantum encryption. I mean, who doesn't want to be the one to crack the uncrackable, am I right? *laughs*

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Helene

8 months ago

I hear you, Meaghan, but I'm not convinced. Pseudonymization might be good for some applications, but when it comes to highly sensitive personal information, I think we need something a bit more robust. I'm leaning towards homomorphic encryption - it just seems like the most secure option on the table.

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Meaghan

8 months ago

Guys, come on, let's not get too carried away with the fancy encryption methods. Pseudonymization is the way to go, in my opinion. It's simple, effective, and lets you keep the data usable without compromising privacy. Plus, it's probably the most cost-effective solution for the organization.

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Helga

8 months ago

Hmm, good question. I'm not too familiar with homomorphic encryption, but it does sound promising. Although, I wonder if quantum encryption might be the way to go - I mean, who doesn't love the idea of unbreakable encryption, am I right? *winks*

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Veronica

8 months ago

Woah, this question really hits the nail on the head! Sensitive personal data is no joke, and we need to handle it with the utmost care. I'm definitely leaning towards homomorphic encryption - the idea of being able to manipulate the data without revealing the contents is just brilliant.

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