+3 Digital Identity Risk Management
---+3.1 Define the Online Service
---+3.2 Conduct Initial Impact Assessment
------+3.2.1 Identify Impact Categories and Potential Harms
------+3.2.2 Identify Potential Impact Levels
------+3.2.3 Impact Analysis
------+3.2.4 Determine the Combined Impact Level for Each User Group
---+3.3 Select Initial Assurance Levels and Baseline Controls
------+3.3.1 Assurance Levels
------+3.3.2 Assurance Level Descriptions
---------+3.3.2.1 Identity Assurance Level
---------+3.3.2.2 Authentication Assurance Level
---------+3.3.2.3 Federation Assurance Level
------+3.3.3 Initial Assurance Level Selection
---------+3.3.3.1 Selecting Initial IAL
---------+3.3.3.2 Selecting Initial AAL
---------+3.3.3.3 Selecting Initial FAL
------+3.3.4 Identify Baseline Controls
---+3.4 Tailor and Document Assurance Levels
------+3.4.1 Assess Privacy, Customer Experience, and Threat Resistance
------+3.4.2 Identify Compensating Controls
------+3.4.3 Identify Supplemental Controls
------+3.4.4 Digital Identity Acceptance Statement
---+3.5 Continuously Evaluate and Improve
------+3.5.1 Evaluation Inputs
------+3.5.2 Performance Metrics
------+3.5.3 Measurement in Support of Customer Experience Outcomes
---+3.6 Redress
---+3.7 Cybersecurity, Fraud, and Identity Program Integrity
---+3.8 Artificial Intelligence and Machine Learning in Identity Systems

3 Digital Identity Risk Management

This section is normative.

This section describes the methodology for assessing digital identity risks associated with online services, including residual risks to users of the online service, the service provider organization, and its mission and business partners. It offers guidance on selecting usable, privacy-enhancing security, and anti-fraud controls that mitigate those risks. Additionally, it emphasizes the importance of continuously evaluating the performance of the selected controls.

The Digital Identity Risk Management (DIRM) process focuses on the identification and management of risks according to two dimensions: (1) risks that result from operating the online service that might be addressed by an identity system and (2) additional risks that are introduced as a result of implementing the identity system.

The first dimension of risk informs initial assurance level selections and seeks to identify risks associated with a compromise of the online service that might be addressed by an identity system. For example:

Identity proofing: Negative impacts that could reasonably be expected if an imposter were to gain access to a service or receive a credential using the identity of a legitimate user (e.g., an attacker successfully impersonates someone)
Authentication: Negative impacts that could reasonably be expected if a false claimant accessed an account that was not rightfully theirs (e.g., an attacker who compromises or steals an authenticator), often referred to as an account takeover attack
Federation: Negative impacts that could reasonably be expected if the wrong subject successfully accessed an online service, system, or data (e.g., compromising or replaying an assertion)

If there are risks associated with a compromise of the online service that could be addressed by an identity system, an initial assurance level is selected and the second dimension of risk is then considered.

The second dimension of risk seeks to identify the risks posed by the identity system itself and informs the tailoring process. Tailoring provides a process to modify an initially assessed assurance level, implement compensating or supplemental controls, or modify selected controls based on ongoing detailed risk assessments in areas such as privacy, usability, and resilience to real-world threats.

Examples of the types of impact that can result from risks introduced by the identity system itself include:

Identity proofing: Impacts of not successfully identity proofing and enrolling a legitimate subject due to barriers faced by the subject throughout the process of identity proofing, falling victim to a breach of information that was collected and retained to support identity proofing processes, or the initial IAL failing to completely address specific threats, threat actors, and fraud
Authentication: Impacts of failing to authenticate the correct subject due to barriers faced by the subject in presenting their authenticator, including barriers due to usability issues; the initial AAL failing to completely address targeted account takeover models or specific authenticator types fail to mitigate anticipated attacks
Federation: Impacts of releasing real subscriber attributes to the wrong online service or system or releasing incorrect or fake attributes to a legitimate RP

The outcomes of the DIRM process depend on the role that an entity plays within the digital identity model.

For relying parties, the intent of this process is to determine the assurance levels and any tailoring required to protect online services and the applications, transactions, and systems that comprise or are impacted by those services. This directly contributes to the selection, development, and procurement of CSP services. Federal RPs SHALL implement the DIRM process for all online services.
For credential service providers and identity providers, the intent of this process is to design service offerings that meet the requirements of the defined assurance levels, continuously guard against compromises to the identity system, and meet the needs of RPs. Whenever a service offering deviates from normative guidance, those deviations SHALL be clearly communicated to the RPs that utilize the service.

CSPs and IdPs are expected to offer services at assurance levels that are requested by the RPs they serve. However, CSPs and IdPs that choose to deviate from this guideline or augment their services are expected to conduct an abbreviated digital identity risk assessment and document their modifications in a Digital Identity Acceptance Statement that is provided to RPs (see Sec. 3.4.4).

This process augments the risk management processes required by [FISMA]. The results of the DIRM impact assessment for the online service may be different from the FISMA impact level for the underlying application or system. Identity process failures can result in different levels of impact for various user groups. For example, the overall assessed FISMA impact level for a payment system may result in a ‘FISMA Moderate’ impact category because sensitive financial data is being processed by the system. However, for individuals who are making guest payments where no persistent account is established, the authentication and proofing impact levels may be lower. Agency authorizing officials SHOULD require documentation that demonstrates adherence to the DIRM process as a part of the authority to operate (ATO) for the underlying information system that supports an online service. Agency authorizing officials SHOULD require documentation from CSPs that demonstrates adherence to the DIRM process as part of procurement or ATO processes for integration with CSPs.

These guidelines use the term FISMA impact level; other NIST RMF publications also use the term system impact level to refer to such impact categorization.

There are 5 steps in the DIRM process:

Define the online service: As a starting point, the organization documents a description of the online service in terms of its functional scope, the user groups it is intended to serve, the types of online transactions available to each user group, and the underlying data that the online service processes through its interfaces. If the online service is one element of a broader business process, its role is documented, as are the uses of any data collected and processed by the online service. Additionally, an organization needs to determine the entities that will be impacted by the online service and the broader business process of which it is a part. The outcome is a description of the online service, its users, and the entities that may be impacted by its functionality.
Conduct initial impact assessment: In this step, organizations assess the impacts of a compromise of the online service that might be addressed by an identity system (i.e., identity proofing, authentication, or federation). Each function of the online service is assessed against a defined set of harms and impact categories. Each user group of the online service is considered separately based on the transactions available to that user group (i.e., the permissions that the group is granted relative to the data and functions of the online service). The outcome of this step is a documented set of impact categories and associated impact levels that are determined by considering the transactions available to each user group of the online service.
Select initial assurance levels: In this step, the impact categories and impact levels are evaluated to determine the initial assurance levels to protect the online service from unauthorized access and fraud. Using the assurance levels, the organization identifies the baseline controls for the IAL, AAL, and FAL for each user group based on the requirements in companion volumes [SP800-63A], [SP800-63B], and [SP800-63C], respectively. The outcome of this step is an identified initial IAL, AAL, and FAL, as applicable, for each user group.
Tailor and document assurance level determinations: In this step, detailed assessments are conducted or leveraged to determine the potential impact of the initially selected assurance levels and their associated controls on privacy, customer experience, and resistance to the current threat environment. Tailoring may result in a modification of the initially assessed assurance level, the identification of compensating or supplemental controls (see Sec. 3.4.2 and Sec. 3.4.3), or both. All assessments and final decisions are documented and justified. The outcome is a Digital Identity Acceptance Statement (see Sec. 3.4.4) with a defined and implementable set of assurance levels and a final set of controls for the online service.
Continuously evaluate and improve: In this step, information on the performance of the identity management approach is gathered and evaluated. This evaluation considers a diverse set of factors, including business impacts, effects on fraud rates, and impacts on user communities. This information is crucial for determining whether the selected assurance levels and controls meet mission, business, security, and — where applicable — program integrity needs. It also helps monitor for unintended harms that impact privacy and access. Opportunities for improvement should also be considered by closely monitoring the evolving threat landscape and investigating new technologies and methodologies that can counter those threats, improve customer experience, or enhance privacy. The outcomes of this step are performance metrics, documented and transparent processes for evaluation and redress, and ongoing improvements to the identity management approach.

Fig. 6. High-level diagram of the DIRM Process Flow

High-level diagram of the Digital Identity Risk Management Process Flow showing the five steps along with major activities and outcomes for each step

Figure 6 illustrates the major actions and outcomes for each step of the DIRM process flow. While presented as a stepwise approach, there can be many points in the process that require divergence from the sequential order, including the need for iterative cycles between initial task execution and revisiting tasks. For example, the introduction of new regulations or requirements while an assessment is in progress may require organizations to revisit a step in the process. Additionally, new functionalities, changes in data usage, and changes to the threat environment may require an organization to revisit steps in the DIRM process at any point, including potentially modifying the assurance levels and/or the related controls of the online service.

Organizations SHOULD adapt and modify this overall approach to meet organizational processes, governance, and enterprise risk management practices. At a minimum, organizations SHALL execute and document each step and complete and document the normative mandates and outcomes of each step, regardless of any organization-specific processes or tools used in the overall DIRM process. Additionally, organizations SHOULD consult with a representative sample of the online service’s user population to inform the design and performance evaluation of the identity management system.

1. Přehled

Název Standard
3.1 Define the Online Service

The purpose of defining the online service is to understand its functionality and establish a common understanding of its context, which will inform subsequent steps of the DIRM process. The role of the online service is contextualized as part of the broader business environment and associated processes, resulting in a documented description of the scope of the online service, user groups and their expectations, data processed, impacted entities, and other pertinent details.

RPs SHALL develop a description of the online service that includes, at minimum:

The organizational mission and business objectives supported by the online service
The mission and business partner dependencies associated with the online service
Legal, regulatory, and contractual requirements, including privacy obligations that apply to the online service
The functionality of the online service and the data that it is expected to process
User groups that need to have access to the online service as well as the types of online transactions and access privileges available to each user group
The set of entities (to include users of the online service, organizations, and populations served) that will be impacted by the online service and the broader business process of which it is a part
The results of any preexisting DIRM assessments (as an input) and the current state of any preexisting identity technologies (i.e., proofing, authentication, or federation)
The estimated availability of the types of identity evidence required for identity proofing across all user groups served

It is imperative to consider unexpected and undesirable impacts, as well as the scale of impact, on different entities that result from an unauthorized user gaining access to the online service due to a failure of the digital identity system. For example, if an attacker obtained unauthorized access to an online service that controls a power plant, the actions taken by the bad actor could have devastating environmental impacts on the local populations that live near the facility and cause power outages for the localities served by the plant.

It is important to differentiate between user groups and impacted entities, as described in this document. The online service will allow access to a set of users who may be partitioned into a few user groups based on the kind of functionality that is offered to that user group. For example, an online income tax filing and review service may have the following user groups: (1) citizens who need to check the status of their personal tax returns, (2) tax preparers who file tax returns on behalf of their clients, and (3) system administrators who assign privileges to different groups of users or create new user groups as needed. Impacted entities include all those who could face negative consequences in the event of a digital identity system failure. This will likely include members of the user groups but may also include those who never directly use the system.

Accordingly, the scope of impact assessments SHALL include individuals who use the online application as well as the organization itself. Additionally, organizations SHALL identify other entities (e.g., mission partners, communities, and those identified in [SP800-30]) that need to be specifically included based on mission and business needs. At a minimum, organizations SHALL document all impacted entities (both internal and external to the organization) when conducting their impact assessments.

The output of this step is a documented description of the online service, including a list of the user groups and other entities that are impacted by the functionality provided by the online service. This information will serve as a basis and establish the context for effectively applying the impact assessments detailed in the following sections.

3.2 Conduct Initial Impact Assessment

This step of the DIRM process addresses the first dimension of risk by identifying the risks to the online service that might be addressed by an identity system.

The purpose of the initial impact assessment is to identify the potential adverse impacts of failures in identity proofing, authentication, and federation that are specific to an online service, yielding an initial set of assurance levels. RPs SHOULD consider historical data and results from user focus groups when performing this step. The impact assessment SHALL include:

Identifying a set of impact categories and the potential harms for each impact category,
Identifying the levels of impact, and
Assessing the level of impact for each user group.

The level of impact for each user group identified in Sec. 3.1 SHALL be considered separately based on the transactions available to that user group. This gives organizations maximum flexibility in selecting and implementing assurance levels that are appropriate for each user group. While impacts to user groups, the organization, and other entities are primary considerations for impact assessments, organizations SHOULD also consider scale (e.g., number of persons impacted by transactions).

The output of this assessment is a defined impact level (i.e., Low, Moderate, or High) for each user group. This serves as the primary input to the initial assurance level selection.

3.3 Select Initial Assurance Levels and Baseline Controls

The effective impact level (i.e., Low, Moderate, or High) serves as a primary input to the process of selecting the initial assurance level for each user group (see Sec. 3.3.1) to identify the corresponding set of baseline digital identity controls from the requirements and guidelines in the companion volumes [SP800-63A], [SP800-63B], and [SP800-63C]. The resulting initial assurance level for each user group applies to all three digital identity system functions (i.e., identity proofing, authentication, and federation).

The initial set of selected digital identity controls and processes will be assessed and tailored in Step 4 based on potential risks generated by the identity management system.

3.4 Tailor and Document Assurance Levels

The second dimension of risk addressed by the DIRM process focuses on risks from the identity management system that represent the unintended negative consequences of the initial selection of xALs and related technical and process controls in Sec. 3.3.4.

Tailoring provides a process to modify an initially assessed assurance level and implement compensating or supplemental controls based on ongoing detailed risk assessments. It provides a pathway for flexibility and enables organizations to achieve risk management objectives that align with their specific context, users, and threat environments. This process focuses on assessing the risks posed by the identity system itself, specific environmental threats, and privacy and customer experience impacts. It does not prioritize any specific risk area or outcomes for organizations. Making decisions that balance different types of risks to meet organizational outcomes remains the responsibility of organizations.

While organizations are required to implement and document a tailoring process, this guideline does not require the initial assurance levels or control sets to be modified as a result. However, organizations are expected to complete the assessments in the tailoring section to fully account for the outcomes of their selected initial assurance levels.

Within the tailoring step, organizations SHALL focus on impacts to mission delivery due to the implementation of identity management controls, including the possibility of legitimate users who are unable to access desired online services or experience sufficient friction or frustration with the identity system (and technology selection) that they abandon attempts to access the online service.

As a part of the tailoring process, organizations SHALL review the Digital Identity Acceptance Statements and practice statements1 from CSPs and IdPs that they use or intend to use. However, organizations SHALL also conduct their own analysis to ensure that the organization’s specific mission and the communities being served by the online service are given due consideration for tailoring purposes. As a result, the organization MAY require their chosen CSP to strengthen or provide optionality in the implementation of certain controls to address risks and unintended impacts to the organization’s mission and the communities served.

To promote interoperability and consistency, organizations SHOULD implement their assessed or tailored xALs consistent with the normative guidance in this document. However, these guidelines provide flexibility to allow organizations to tailor the initial xALs and related controls to meet specific mission needs, address unique risk appetites, and provide secure and accessible online services. In doing so, CSPs MAY offer and organizations MAY utilize tailored sets of controls that differ from the normative statements in this guideline.

Organizations SHALL establish and document their xAL tailoring process. At a minimum, this process:

SHALL follow a documented governance approach to allow for decision-making
SHALL document all decisions in the tailoring process, including the assessed xALs, modified xALs, and supplemental and compensating controls in the Digital Identity Acceptance Statement (see Sec. 3.4.4)
SHALL justify and document all risk-based decisions or modifications to the initially assessed xALs in the Digital Identity Acceptance Statement (see Sec. 3.4.4)
SHOULD establish a cross-functional capability to support subject-matter analysis of xAL selection impacts in the tailoring process (e.g., subject-matter experts who can speak about risks and considerations related to privacy, customer experience, fraud and impersonation impacts, and other germane areas)

The tailoring process promotes a structured means of balancing risks and impacts while protecting online services, systems, and data in a manner that enables mission success and supports security, customer experience, and privacy for individuals.

3.5 Continuously Evaluate and Improve

Continuous improvement is a critical tool for keeping pace with the threat and technology environment and identifying programmatic gaps that need to be addressed to balance risk management objectives. For instance, an organization may determine that a portion of the target population intended to be served by the online service does not have access to affordable high-speed internet services, which are needed to support remote identity proofing. The organization could bridge this gap by establishing a program that offers local, in-person proofing services within the community. This could involve providing appointments with proofing agents who can meet individuals at more accessible locations, such as their local community center, the nearest post office, a partner business facility, or even at the individual’s home.

To address the shifting environment in which they operate and more rapidly address service capability gaps, organizations SHALL implement a continuous evaluation and improvement program that leverages input from end users who have interacted with the identity management system as well as performance metrics for the online service. This program SHALL be documented, including the metrics that are collected, the sources of data required to enable performance evaluation, and the processes in place for taking timely actions based on the continuous improvement process. This program and its effectiveness SHOULD be assessed on a regular basis to ensure that outcomes are being achieved and that programs are addressing issues in a timely manner.

Additionally, organizations SHALL monitor the evolving threat landscape to stay informed of the latest threats and fraud tactics. Organizations SHALL regularly assess the effectiveness of current security measures and fraud detection capabilities against the latest threats and fraud tactics.

3.6 Redress

Designing services that support a wide range of populations requires processes to adjudicate issues and provide redress3 as warranted. Service failures, disputes, and other issues tend to arise as part of normal operations, and their impacts can vary broadly, from minor inconveniences to major disruptions or damage. Furthermore, the same issue experienced by one person or community as an inconvenience can have disproportionately damaging impacts on other individuals and communities.

To enable access to critical online services while deterring identity-related fraud and cybersecurity threats, it is essential for organizations to plan for potential issues and to design redress approaches that aim to be fair, transparent, easy for legitimate claimants to navigate, and resistant to exploitation attempts.

Understanding when and how harms might be occurring is a critical first step for organizations to take informed action. Continuous evaluation and improvement programs can play a key role in identifying instances and patterns of potential harm. Moreover, there may be business processes in place outside of those established to support identity management that can be leveraged as part of a comprehensive approach to issue adjudication and redress. Beyond these activities, additional practices can be implemented to ensure that users of identity management systems are able to voice their concerns and have a path to redress. Requirements for these practices include:

RPs and CSPs SHALL enable individuals to convey grievances and seek redress through an issue handling process that is documented, accessible, trackable, and usable by all individuals and whose instructions are easy to find on a public-facing website.
RPs and CSPs SHALL institute a governance model for implementing this issue handling process, including documented roles and responsibilities.
The issue handling process SHALL be implemented as a dedicated function that includes procedures for:
Impartially reviewing pertinent evidence,
Requesting and collecting additional evidence that informs the issues, and
Expeditiously resolving issues and determining corrective action.
RPs and CSPs SHALL make human support personnel available to intervene and override issue adjudication outputs generated by algorithmic support mechanisms.
RPs and CSPs SHALL educate support personnel on issue handling procedures for the digital identity management system, the avenues for redress, and the alternatives available to gain access to services.
RPs and CSPs SHALL implement a process for personnel and technologies that provides support functions to report and address major barriers that end users face and grievances they may have.
RPs and CSPs SHALL incorporate findings derived from the issue handling process into continuous evaluation and improvement activities.

Organizations are encouraged to consider these and other emerging redress practices. Prior to adopting any new redress practice, including supporting technology, organizations SHOULD test the practice with users to avoid the introduction of unintended consequences, particularly those that may counteract or contradict the goals associated with redress. In addition, organizations SHALL assess the integrity and performance of their redress mechanisms and implement controls to prevent, detect, and remediate attempted identity fraud involving those mechanisms.

3.7 Cybersecurity, Fraud, and Identity Program Integrity

The close coordination of identity functions with teams that are responsible for cybersecurity, privacy, threat intelligence, fraud detection, and program integrity enables a more complete protection of business capabilities and constant improvement. For example, payment fraud data collected by program integrity teams could provide indicators of compromised subscriber accounts and potential weaknesses in identity proofing implementations. Similarly, threat intelligence teams may learn of new TTPs that could impact identity proofing, authentication, and federation processes. Organizations SHALL establish consistent mechanisms for the exchange of information between stakeholers that are responsible for critical internal security and fraud prevention. Organizations SHOULD do the same for external stakeholders and identity services that comprise their online services.

When organizations are supported by external identity providers (e.g., CSPs), the exchange of data related to security, fraud, and other RP functions may be complicated by regulations or policy. However, establishing the necessary mechanisms and guidelines to enable effective information sharing SHOULD be considered in contractual and legal mechanisms. All data collected, transmitted, or shared by the identity service provider SHALL be subject to a detailed privacy and legal assessment by either the entity generating the data (e.g., a CSP) or the related RP for whom the service is provided.

Coordination and integration with various organizational functional teams can help to achieve better outcomes for the identity functions. Ideally, such coordination is performed throughout the risk management process and operations life cycle. Companion volumes [SP800-63A], [SP800-63B], and [SP800-63C] provide specific fraud mitigation requirements related to each of the identity functions.

3.8 Artificial Intelligence and Machine Learning in Identity Systems

Identity solutions use artificial intelligence (AI) and machine learning (ML) in various ways, such as improving the performance of biometric matching systems, automating evidence or attribute validation, detecting fraud, and even assisting users (e.g., chatbots). While the potential applications of AI and ML are extensive, these technologies may also introduce new risks or produce unintended negative outcomes.

The following requirements apply to all uses of AI and ML in the identity system, regardless of how they are used:

All uses of AI/ML SHALL be documented and communicated to organizations that rely on these systems. The use of integrated technologies that leverage AI/ML by CSPs, IdPs, or verifiers SHALL be disclosed to all RPs that make access decisions based on information from these systems.
All organizations that use AI/ML SHALL provide information to any entities that use their technology on the methods and techniques used for training their models, a description of the data sets used in training, information on the frequency of model updates, and the results of all testing completed on their algorithms.
All organizations that use AI/ML systems or rely on services that use these systems SHOULD implement the NIST AI Risk Management Framework ([NISTAIRMF]) to evaluate the risks that may be introduced by such systems.
All organizations that use AI/ML systems or rely on services that use these systems SHALL perform and document privacy risk assessments for personal information and data processed by such systems.

Further information on practice statements and their contents can be found in Sec. 3.1 of SP 800-63A. ↩

For more information about privacy risk assessments, refer to the NIST Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management at https://nvlpubs.nist.gov/nistpubs/CSWP/NIST.CSWP.01162020.pdf. ↩

Redress generally refers to a remedy that is made after harm occurs. ↩

1.1 Odkazy

1.2 Identifikované požadavky

1.3 Související regulace

2. Identifikované požadavky

Požadavky
Zdroj Požadavek

3. Související regulace

Regulace
Zdroj Regulace
  • NIST -

    EN: Publications of the National Institute of Standards and Technology (NIST), U.S. Department of Commerce, https://www.nist.gov/, from their electronic versions (OSCAL; SP 800-63-4 from its HTML version, https://pages.nist.gov/800-63-4/). Works of NIST employees are not subject to copyright protection in the United States (17 U.S.C. § 105); the OSCAL content is dedicated to the public domain worldwide (CC0 1.0); outside the United States NIST grants the right to reprint its technical series publications in all formats (NIST copyright statement). Republished courtesy of the National Institute of Standards and Technology; each document names its citation. Divided into sections and converted into the GRCA format, the wording unchanged. Only the versions published by NIST are authoritative.

    DE: Veröffentlichungen des National Institute of Standards and Technology (NIST), U.S. Department of Commerce, https://www.nist.gov/, aus ihren elektronischen Fassungen (OSCAL; SP 800-63-4 aus ihrer HTML-Fassung, https://pages.nist.gov/800-63-4/). Werke von NIST-Beschäftigten sind in den USA urheberrechtlich nicht geschützt (17 U.S.C. § 105); die OSCAL-Inhalte sind weltweit gemeinfrei gestellt (CC0 1.0); außerhalb der USA räumt das NIST das Recht ein, seine Technical-Series-Publikationen in allen Formaten neu zu veröffentlichen (Copyright-Hinweis des NIST). „Republished courtesy of the National Institute of Standards and Technology“; jedes Dokument nennt seine Zitierangabe. In Abschnitte aufgeteilt und in das GRCA-Format umgewandelt, der Wortlaut unverändert. Maßgeblich sind allein die vom NIST veröffentlichten Fassungen.