5.5 - Explain privacy and sensitive data concepts in relation to security. Flashcards

1
Q

Reputation damage (Organizational consequences
of privacy and data breaches)

A

– Opinion of the organization becomes negative

– Can have impact on products/services

– Can impact stock price

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2
Q

Identity theft (Organizational consequences
of privacy and data breaches)

A

– Company and/or customers info becomes public

– May require public disclosure

– Credit monitoring costs

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3
Q

Fines (Organizational consequences
of privacy and data breaches)

A

– Uber
*
Data breach in 2016 wasn’t disclosed
*
Uber paid the hackers $100,000 instead
*
Lawsuit settlement was $148 million
– Equifax
*
2017 data breach
*
Government fines were approximately $700 million

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4
Q

IP theft (Organizational consequences
of privacy and data breaches)

A

– Stealing company secrets

– Can put an org out of business

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5
Q

Escalation (internal + external) (Notifications of breaches)

A

Internal escalation process
– Breaches r often found by technicians
– Provide a process 4 making those findings known

External escalation process
– Know when to ask 4 assistance from external resources
– Security experts can find + stop an active breach

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6
Q

Public notifications and disclosures (Notifications of breaches)

A

– Refer to security breach notif laws

– All 50 US states, EU, Australia, etc.

– Delays might be allowed 4 criminal investigations

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7
Q

Public (data types -> classifications)

A
  • Unclassified
  • No restrictions on viewing the data
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8
Q

Private (data types -> classifications)

A

-Classified / Restricted / Internal use only

-Restricted access, may require a NDA

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9
Q
  • Sensitive (data types -> classifications)
A
  • Intellectual property, PII, PHI
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10
Q

Confidential (data types -> classifications)

A
  • v sensitive, must be approved to view
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11
Q

Critical (data types -> classifications)

A
  • Data should always be available
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12
Q

Proprietary (data types -> classifications)

A

– Data that is the property of an org

– May include trade secrets

– Often data unique to an organization

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13
Q

PII (Personally identifiable
information) (data types -> classifications)

A

– Data that can be used to identify an individual

– Name, date of birth, mother’s maiden name, biometric info

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14
Q

PHI (protected health information) (data types -> classifications)

A

– Health info associated with an individual

– Health status, health care records, payments for health care, etc

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15
Q

Financial information (data types -> classifications)

A

– Internal company financial info

– Customer financial details

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16
Q

Government data (data types -> classifications)

A

– Open data

– Transfer between government entities

– May be protected by law

17
Q

Customer data (data types -> classifications)

A

– Data associated wth customers

– May include usr-specific details

– Legal handling reqs

18
Q

Data minimization (Privacy enhancing technologies)

A
  • seeks to reduce risk by reducing amt of sensitive info that we maintain on a regular basis

-best way = destroy data when it’s no longer necessary to meet original business purpose

-Minimal data collection
-> Only collect + retain necessary data

-Included in many regulations
->HIPAA has a “Minimum Necessary” rule
->GDPR - “Personal data shall be adequate, relevant + not excessive in relation to the purpose/s 4 which they are processed.”

-Some info may not be required

-Internal data use should be limited
->Only access data required 4 the task

19
Q

Data masking (Privacy enhancing technologies)

A

Data obfuscation
->Hide some of the OG data

-Protects PII + other sensitive data

-May only be hidden from view
->The data may still be intact in storage
->Control the view based on permissions

-Many different techniques
->Substituting, shuffling, encrypting, masking out, etc.

20
Q

Tokenization (Privacy enhancing technologies)

A

-Replace sensitive data with a non-sensitive placeholder
->SSN 266-12-1112 is now 691-61-8539

-Common wth credit card processing
->Use a temp token during payment
->A perp capturing the card #s can’t use them later

-This isn’t encryption or hashing
->OG data + token aren’t mathematically related
->No encryption overhead

21
Q

Anonymization (Privacy enhancing technologies)

A

-Make it impossible to identify individual data from a dataset
->Allows 4 data use wthout priv concerns

-Many anonymization techniques
->Hashing, masking, etc.

-Convert from detailed customer purchase data
->Remove name, address, change phone number
to ### ### ####
->Keep product name, quantity, total, + sale date

-Anonymization can’t be reversed
->No way to associate the data to a usr

22
Q

Pseudo-anonymization (Privacy enhancing technologies)

A

-Replace personal info wth pseudonyms

-Often used to maintain statistical relationships

-May be reversible
->Hide the personal data 4 daily use or in case of breach
->Convert it back 4 other processes

-Random replacement
-> James Messer > Jack O’Neill > Sam Carter > Daniel Jackson

-Consistent replacements
-> James Messer is always converted to George Hammond

23
Q

Data owners (Roles and responsibilities)

A

-Accountable 4 specific data
->often a senior officer/exec

-delegate some responsibilities to others

-rely on advice from subject matter experts

-VP of Sales owns the customer relationship data

-Treasurer owns the financial information

24
Q

Data controller (Roles and responsibilities)

A

-Manages the purposes + means by which personal data is processed

-determine reasons 4 processing personal info
-> direct the methods of processing that data

-mainly in European law

25
Q

Data processor (Roles and responsibilities)

A

-Processes data on behalf of data controller

-Often a third-party or dif group

-service providers that process personal info on behalf of data controller

26
Q

Data custodian/steward (Roles and responsibilities)

A

-Responsible 4 data accuracy, privacy, and sec

-Associates sensitivity labels to the data

-Ensures compliance wth any applicable laws + standards

-Manages access rights to the data

27
Q

Data protection officer (DPO) (Roles and responsibilities)

A

-Responsible 4 the organization’s data priv

-Sets policies, implements processes + procedures

-individual who bears overall responsibility 4 carrying out orgs data priv efforts

-chief privacy officer = common title

28
Q

Information life cycle

A

-Creation + receipt
->Create data internally/receive data
from a third-party

-Distribution
->Records r sorted + stored

-Use
->Make business decisions, create products + services

-Maintenance
->Ongoing data retrieval + data transfers

-Disposition
->Archiving/disposal of data

29
Q

PIA - Privacy impact assessment

A
  • Almost everything can affect priv
    ->New business relationships, product updates, website features, service offering

-Privacy risk needs to be identified in each initiative
->How could the process compromise customer privacy?

-Advantages
->Fix privacy issues b4 they become a prob
->Provides evidence of a focus on privacy
->Avoid data breach
->Shows the importance of priv to everyone

30
Q

Terms of agreement

A

– Terms of use, terms and conditions (T&C)

– Legal agreement btwn service provider + usr

– usr must agree to the terms to use the service

31
Q

Privacy notice

A

– May be required by law

– Documents the handling of personal data

– May provide additional data options +
contact info

32
Q

Data stewards

A

-ppl who carry out the intent of the data controller

-delegated responsibility from the data controller

33
Q

Data custodians

A

-ppl/teams who don’t have controller or stewardship responsibility BUT

-> r responsible 4 the secure safekeeping of info