Imagine a business where there are no clear boundaries defined for data and sys

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Imagine a business where there are no clear boundaries defined for data and systems ownership. As a security professional, describe some potential problems that may arise from this condition. It may be helpful to frame your analysis by describing the issues in relation to the loss of one of the CIA triad security objectives.
In your responses to your peers, answer this question: How would you handle the problems presented in the initial post?
To complete this assignment, review the Discussion Rubric.
RESPONSE ONE
In a business where there are no clear boundaries defined for data and systems ownership, significant security issues can arise. Without clear ownership, it is unclear who has the authority to access specific data or systems. This ambiguity can lead to unauthorized access by employees or third parties, either intentionally or accidentally, compromising sensitive information. Another possible issue is data leakage, without ownership, there’s no clear responsibility for monitoring and controlling data flows. Employees might share sensitive information externally without realizing its importance 
Also, in the absence of designated ownership, no one may be responsible for ensuring the availability of systems. This can lead to prolonged system outages as well as critical systems possibly not receiving the necessary maintenance, updates, or backups. Without clearly defined data and systems ownership, a business faces significant risks across all aspects of the CIA triad. These risks can lead to unauthorized access, data breaches, loss of data integrity, and system downtime 
RESPONSE TWO
In a business without defined data and systems ownership boundaries, several security risks can emerge, each tied to the CIA triad—Confidentiality, Integrity, and Availability. Let’s explore potential problems by focusing on the loss of Confidentiality as an example.
Potential Problems: Loss of Confidentiality
Unauthorized Access: No one is responsible for implementing and managing access controls without clear ownership. This lack of accountability can lead to employees, contractors, or third parties accessing sensitive or restricted data. For example, personnel outside of the finance department may gain access to financial records, or employees without clearance might access confidential customer data, resulting in privacy violations or compliance breaches (e.g., GDPR, HIPAA).
Data Leakage: In an environment with no designated owner for sensitive data, there is a higher risk of data being shared or exposed accidentally. Without clear guidelines on who controls access and distribution, sensitive information could be sent to unauthorized parties or posted in insecure locations. This could lead to breaches of confidential customer, employee, or business information.
Inconsistent Data Classification: Without defined ownership, the process of classifying data as public, internal, confidential, or highly sensitive may be inconsistent or entirely neglected. If no one is responsible for categorizing the data, it’s more likely that highly sensitive data is treated in the same way as general information, increasing the risk of exposure to unauthorized parties.
Weak Access Management: When ownership isn’t defined, nobody is responsible for updating, auditing, or reviewing user permissions. As a result, employees may retain access to confidential systems or data even after changing roles or leaving the company. This creates an opportunity for internal threats or ex-employees to exploit the system and access restricted information long after they should have been removed.
Broader Consequences
A loss of confidentiality can lead to regulatory fines, lawsuits, and reputational damage. For industries that handle sensitive data—like healthcare, finance, or tech—the risks are even higher, as they are more likely to face severe consequences for mishandling confidential information.
In summary, without clear ownership of data and systems, maintaining the confidentiality of sensitive information becomes challenging, leading to unauthorized access, data leakage, and compliance violations.

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