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CIS Control 13

Data Protection

Key Principle:

The processes and tools used to prevent data exfiltration, mitigate the effects of exfiltrated data, and ensure the privacy and integrity of sensitive information.

Why is this CIS Control critical?

Data resides in many places. Protection of that data is best achieved through the application of a combination of encryption, integrity protection and data loss prevention techniques. As organizations continue their move towards cloud computing and mobile access, it is important that proper care be taken to limit and report on data exfiltration while also mitigating the effects of data compromise.

The adoption of data encryption, both in transit and at rest, provides mitigation against data compromise. This is true if proper care has been taken in the processes and technologies associated with the encryption operations. An example of this is the management of cryptographic keys used by the various algorithms that protect data. The process for generation, use and destruction of keys should be based on proven processes as defined in standards such as NIST SP 800-57.

Care should also be taken to ensure that products used within an enterprise implement well known and vetted cryptographic algorithms, as identified by NIST. Re-evaluation of the algorithms and key sizes used within the enterprise on an annual basis is also recommended to ensure that organizations are not falling behind in the strength of protection applied to their data.

For organizations that are moving data to the cloud, it is important to understand the security controls applied to data in the cloud multi-tenant environment, and determine the best course of action for application of encryption controls and security of keys. When possible, keys should be stored within secure containers such as Hardware Security Modules (HSMs).

Encrypting data provides a level of assurance that even if data is compromised, it is impractical to access the plaintext without significant resources, however controls should also be put in place to mitigate the threat of data exfiltration in the first place. Many attacks occurred across the network, while others involved physical theft of laptops and other equipment holding sensitive information. Yet, in most cases, the victims were not aware that the sensitive data were leaving their systems because they were not monitoring data outflows. The movement of data across network boundaries both electronically and physically must be carefully scrutinized to minimize its exposure to attackers.

The loss of control over protected or sensitive data by organizations is a serious threat to business operations and a potential threat to national security. While some data are leaked or lost as a result of theft or espionage, the vast majority of these problems result from poorly understood data practices, a lack of effective policy architectures, and user error. Data loss can even occur as a result of legitimate activities such as e-Discovery during litigation, particularly when records retention practices are ineffective or nonexistent.

Data loss prevention (DLP) refers to a comprehensive approach covering people, processes, and systems that identify, monitor, and protect data in use (e.g., endpoint actions), data in motion (e.g., network actions), and data at rest (e.g., data storage) through deep content inspection and with a centralized management framework. Over the last several years, there has been a noticeable shift in attention and investment from securing the network to securing systems within the network, and to securing the data itself. DLP controls are based on policy, and include classifying sensitive data, discovering that data across an enterprise, enforcing controls, and reporting and auditing to ensure policy compliance.

Main Points:
  • Perform an assessment of data to identify sensitive information that requires the application of encryption and integrity controls.
  • Deploy approved hard drive encryption software to mobile devices and systems that hold sensitive data.

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