Secure the device and approve the AI service as two separate decisions. A police laptop or field device that can access criminal justice information (CJI) needs agency-approved endpoint, identity, network, encryption, and incident controls. Separately, the agency must determine whether the particular AI service may receive the data, how it handles prompts and outputs, and what actions it can take. NIST AI guidance does not, by itself, make a product CJIS compliant.
What CJIS rules apply to mobile police devices?
The FBI’s CJIS policy landing page identifies CJIS Security Policy v6.1, dated June 25, 2026, as the linked current version. Consult the policy PDF for its exact control language and the relevant state CJIS Systems Agency (CSA) for implementation direction. State and local agencies must also account for applicable law, records-management rules, and their own case-handling procedures. FBI mobile guidance is U.S.-focused and does not settle requirements in other jurisdictions.
The FBI’s Mobile Appendix describes device and connectivity risks and recommendations; do not assume every appendix recommendation is a mandatory control. Confirm which requirements apply to the agency’s systems in the current policy and with its CSA. Keep that endpoint decision distinct from approval of an AI service: an endpoint that meets applicable requirements does not automatically make every service reachable from it appropriate for CJI.
How do police departments protect data on patrol laptops and field devices?
Start by identifying the device class, operating system and version, ownership, network capabilities, applications that can reach CJI, and the places and connectivity conditions in which the device will be used. FBI mobile guidance says risk varies by device category and connectivity, so a configuration suitable for one class or setting may not suit another.
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| Device or scenario | Risk to plan for | Security implication |
|---|---|---|
| Field laptop | It may leave facility protections, connect from untrusted networks, lose connectivity, or be stolen from a vehicle or unattended location. | Set a class-specific baseline and test it under expected field and connectivity conditions. |
| Tablet or handheld device | A more limited operating system may reduce some network exposure compared with a full-featured laptop, but loss, misuse, and sensitive data accessible after device compromise remain concerns. | Do not assume a device PIN alone protects all CJI. Assess application-data protection, authentication, and whether a separate secure container is appropriate for the platform and policy. |
| Public, unknown, or user-selected Wi-Fi | Unrestricted connections increase network exposure. | Treat these networks as untrusted and use approved transmission protections. Consider limiting connections to cryptographically verified agency Wi-Fi where the design supports it. The FBI Mobile Appendix states, “Unrestricted WiFi access is not recommended on any agency owned device.” |
| Vehicle use, removable media, or brief loss of custody | A device or connected media may be accessed, removed, or altered outside a controlled facility. | Address physical custody, removable-media handling, user training, and response procedures in the device’s operating rules. |
What endpoint baseline should an agency put in place?
- Approve each device and connection scenario. Inventory device class, operating system and version, ownership, Wi-Fi and cellular capabilities, CJI access, and the applications permitted to use it. Define permitted network paths for each class.
- Manage and test the actual fleet. Use an agency-approved mobile device management (MDM), enterprise mobility management (EMM), or equivalent approach appropriate to the platform. Test configuration, authentication, logging, updates, encryption, application access, Wi-Fi behavior, and remote response across the device, operating-system, and connectivity combinations used in the field. The FBI Mobile Appendix emphasizes testing across versions and connection scenarios.
- Use layered access protection. Apply the agency’s approved authentication architecture and any separate protection required for sensitive application data. A screen lock or device PIN should not be presented as sufficient protection for every CJI scenario. If evaluating a FIDO2 security key as one multifactor-authentication option, verify policy approval, platform and application compatibility, and account recovery; FBI guidance does not mandate FIDO2 or endorse a particular key.
- Verify encryption and key handling. Configure storage encryption and transmission protection against the current policy and system design. A vendor’s statement that data is “encrypted” is not enough to establish that the configuration meets the applicable requirement: validate the cryptography, key custody, and implementation. Check v6.1’s PDF for the exact normative detail.
- Define physical and media handling. Specify how devices are secured in vehicles and other lower-security locations, how removable and device-connected media are handled, and what users must do to protect equipment and report a loss of control.
Can officers use AI with criminal justice information?
There is no blanket yes-or-no answer for all AI tools. Before enabling a use, classify the information the tool could encounter: CJI, personally identifiable information, investigative records, evidence, credentials, or public information. Then check agency rules, disclosure limits, retention schedules, and case procedures against the service’s actual contract and configuration. Do not send sensitive records to a service until the agency has approved that use and evaluated those terms.
NIST’s Generative AI Profile recommends setting data collection and retention policies, monitoring outputs for sensitive-data exposure, and integrating AI processes into existing legal, compliance, privacy, and IT governance. Those are general risk-management recommendations; they do not establish that a specific product, contract, or deployment satisfies CJIS requirements. The service-specific terms and agency approval determine whether a proposed use is acceptable.
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How should an agency secure AI prompts, outputs, and actions?
Set explicit data-handling terms
For the specific service and deployment, document what happens to prompts, uploaded files, outputs, telemetry, and feedback. Resolve whether each is retained or used to train or improve a model, who can access it, how deletion and export work, how incidents are reported, which subprocessors are involved, where processing or storage occurs, and how legal process is handled. Do not infer these answers from generic product descriptions; verify them in the service’s contract and configuration.
Limit what the AI feature can reach
Give the feature only the data and system permissions needed for its approved task. For an AI agent or tool-using feature, constrain and monitor access to applications, records, and functions. Keep authorized human review over consequential police actions rather than letting an AI feature act beyond its approved scope. This applies NIST’s general discussion of adversarial inputs and agent actions to agency deployment; it is not a CJIS-specific control statement. NIST’s Center for AI Standards and Innovation noted on January 12, 2026, that AI agent systems can plan and take autonomous actions affecting real-world systems or environments.
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Review outputs before they travel further
Monitor AI outputs for sensitive-data exposure and apply the same agency handling, disclosure, and records rules that govern other relevant material. Define who may review, share, store, or use generated content in a case workflow. Do not assume an output is safe to disclose merely because a tool generated it.
What should happen if a police laptop or field device is lost?
Response should reflect how long the device was uncontrolled, whether it was known to be locked, whether CJI persisted on it, what connected services it could reach, and whether it can be tracked or wiped. FBI mobile guidance calls for explicit user actions and scenario-specific incident procedures; recovering a device does not prove it was never accessed or altered.
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- Train users to report loss of control promptly, including temporary loss or unexplained access.
- Define escalation, credential and session revocation, remote lock or wipe, and evidence-preservation steps.
- Test which management and response controls still work when a device is offline or cannot reach agency infrastructure.
- Include potential access to connected applications and accounts in the response, not just the physical device.
How should agencies compare devices, management tools, and AI services?
Use a consistent review rather than treating a product label or isolated security feature as proof of suitability. The following comparison dimensions synthesize FBI mobile-risk guidance and NIST AI governance guidance; they are not a published scoring standard.
- Endpoint: device class and supported operating systems; where CJI is accessed or stored; agency control over configuration and identity; encryption and key custody; audit visibility and offline behavior; Wi-Fi and cellular controls; and lock, disable, and wipe behavior.
- AI service: data retention and model-training use; deletion and subprocessors; access and jurisdiction terms; auditability; and limits on tools or system actions.
- Operations: deployment and support requirements, user recovery, and the work needed to investigate and respond to an incident.
Evaluate the combinations that will actually be used in the field. A control that works only while a device is online, or an AI restriction that does not cover a connected tool, may not provide the protection the agency expects.
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