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3.2.3 Impact Analysis

NIST PIV and digital identity SP 800-63-4 against SP 800-63-3
All changes in this version
added 3 Digital Identity Risk Management part of 3.2

Title changed

Before · SP 800-63-3

After · SP 800-63-4

Impact Analysis

Control changed

Before · SP 800-63-3

After · SP 800-63-4

The impact analysis considers the level of impact (i.e., Low, Moderate, or High) of compromises of any of the identity system functions (i.e., identity proofing, authentication, and federation) that results in an intruder obtaining unauthorized access to the online service as a member of a particular user group, and initiating transactions that cause negative effects on impacted entities. The impact analysis considers the following dimensions:

• User groups (see Sec. 3.1 )

• Impacted entities (see Sec. 3.1 )

• Impact categories (see Sec. 3.2.1 )
• Impact levels (see Sec. 3.2.2 )

The impact analysis SHALL consider the level of impact for each impact category for each type of impacted entity if an intruder obtains unauthorized access as a member of each user group. Because different sets of transactions are available to each user group, it is important to consider each user group separately for this analysis.

For example, for an online service that allows for the control, operation, and monitoring of a water treatment facility, each group of users (e.g., technicians who control and operate the facility, auditors and monitoring officials, system administrators) is considered separately based on the transactions available to that user group through the online service. The impact analysis assesses the level of impact (i.e., Low, Moderate or High) on various impacted entities (e.g., citizens who drink the water, the organization that owns the facility, auditors, monitoring officials) for each of the impact categories being considered if a bad actor obtains unauthorized access to the online service as a member of a user group.

The impact analysis SHALL be performed for each user group that has access to the online service. For each impact category, the impact level is estimated for each impacted entity as a result of a compromise of the online service caused by failures in the identity management functions.

If there is no harm or impact for a given impact category for any entity, the impact level can be marked as None.

The output of this impact analysis is a set of impact levels for each user group that SHALL be documented in a suitable format for further analysis in accordance with Sec. 3.4 .