Asset Security Flashcards
is a process used in
information security to categorize data based on
its level of sensitivity and importance.
Information Classification
is to protect sensitive
information by implementing appropriate security
controls based on the level of risk associated with
that information
Classification
There are several different classification schemes that organizations can use, but they
generally include a few common levels of classification, such as:
Public
Internal
Confidential
Secret
Top Secret
- Information that is not sensitive and can be shared freely with anyone.
Public
Information that is sensitive but not critical, and should only be shared
within the organization.
Internal
- Information that is sensitive and requires protection, and should only
be shared with authorized individuals or groups.
Confidential
Information that is extremely sensitive and requires the highest level of
protection, and should only be shared with a select group of authorized individuals.
Secret
Information that if disclosed would cause exceptionally grave damage
to the national security and access to this information is restricted to a very small
number of authorized individuals with a need-to-know.
Top Secret
also includes a process of
labeling the information with the appropriate
classification level and implementing access controls to
ensure that only authorized individuals can access the
information. This is done through the use of security
technologies such as firewalls, intrusion detection
systems, and encryption.
Information Classification
How to classify Information?
- Assigning value to the information assets .
- Label each information asset.
- Method of handling each information asset.
Assigning Value to Information Assets
- Confidential Information
- Classified Information
- Restricted Information
- Internal Information
- Public Information
This system can use numeric
or alphabetic order, as long as it’s easy to understand and
follow.
Labeling System
Is a fundamental concept within data governance that plays a
crucial role in ensuring the effective management, accountability, and
utilization of data assets.
Data Ownership
refers to the designation of authority over specific sets of
data. It defines who has the legal right to control, utilize, and manage that
data.
Data Ownership
involves responsibility for the
maintenance, operation, and security of a specific IT system.
System Ownership
ensures the system runs smoothly, is updated regularly, and is
protected against security threats.
System Owner
Importance of Data Ownership
Accountability and Decision-Making
Data Governance Framework
Data Quality and Integrity
Compliance and Regulatory Requirements
Data ownership provides a clear line
of accountability for the management and integrity of data. When a
designated owner is responsible for a specific data set, they take ownership
of its quality, accuracy, and compliance with regulatory requirements. This
accountability ensures that data-related decisions can be made promptly,
leading to faster and more effective decision-making processes.
Accountability and Decision Making
- Data ownership plays a pivotal role in ensuring
data quality and integrity. When data ownership is clearly assigned, the
designated owner takes responsibility for maintaining data accuracy,
completeness, and consistency. They are motivated to implement data quality
measures, establish data validation processes, and enforce data governance
policies to safeguard data integrity.
Data Quality and Integrity
Data ownership serves as a foundational
element of a robust data governance framework. It establishes roles,
responsibilities, and decision-making authority, enabling organizations to
define and enforce data-related policies, standards, and processes. Without
clear data ownership, data governance initiatives can become fragmented,
leading to inconsistent practices and hindered data management efforts.
Data Governance Framework
Data ownership is closely linked to
compliance with regulatory requirements. Designating data owners ensures that
individuals are accountable for understanding and adhering to data protection
and privacy regulations. Data owners can monitor data usage, implement
necessary security measures, and ensure compliance with legal obligations,
mitigating risks associated with data breaches and non-compliance.
Compliance and regulatory Requirements
Privacy concerns have become increasingly significant as more personal and
sensitive data is collected and shared online. Here are some key aspects to
consider:
Privacy Concerns
Privacy Laws
Measures to Protect Personal Data
Privacy Concerns:
Data Breaches
Surveillance
Data Misuse
Unauthorized access to personal data can lead to identity theft,
financial loss, and privacy violations.
Data Breaches
