Palantir-based DAR identifies the author of a Siegen amok threat

AI system

System: DAR (Datenbankübergreifende Recherche und Analyse), Palantir software used by North Rhine-Westphalia police
Model: Not assessed
Release: Not assessed
Application developer: Palantir Technologies
Role: Not assessed
Configuration: Not assessed
Inputs and outputs: Not assessed
Autonomy: Not assessed
Workflow: Police and administrative databases (weapons register, residents' registration, case-processing system, wanted-persons portal) linked in one Palantir-based search. An identifier from the case, such as an email address, a nickname or a phone number, that matches an entry somewhere in the linked data.
Human oversight: Not assessed
Relation to AI: The reports describe DAR as software that links entries across the weapons register, residents' registration data, the police case system and the wanted-persons portal. None mentions machine learning. The minister himself describes plain linking, while the OECD AI Incidents Monitor calls it an AI system. On the ministry's account the software's contribution was speed of identification. That was an email address in fractions of a second and about 20 minutes per shooting participant. Whether manual queries would have reached the same people more slowly is not addressed. The claims come from the deploying ministry and an unnamed investigator.
AI contribution: The reports describe DAR as software that links entries across the weapons register, residents' registration data, the police case system and the wanted-persons portal. None mentions machine learning. The minister himself describes plain linking, while the OECD AI Incidents Monitor calls it an AI system. On the ministry's account the software's contribution was speed of identification. That was an email address in fractions of a second and about 20 minutes per shooting participant. Whether manual queries would have reached the same people more slowly is not addressed. The claims come from the deploying ministry and an unnamed investigator.

Benefits

Outcome identifiers: Not assessed
Benefit: 51 of the roughly 100 participants
Category: Improved Knowledge Discovery
Status: Not assessed
Beneficiary groups: Organizations. Society.
Beneficiaries: Not assessed
Reach: Not assessed
Distribution and access: Not assessed
Duration: Not assessed
Expected?: Yes
Costs and harms: Not assessed

Measurement

Studies: Not assessed
Study design: Not assessed
Measurement: Not assessed
Setting and sample: Not assessed
Measures: 51 of the roughly 100 participants
Comparison: Not assessed
Results: 51 of the roughly 100 participants
Additional value from AI: Not assessed
Limitations: Not assessed
Denominators: Not assessed
Materials for replication: Not assessed

Money

Kind of value: Not assessed
Amount: Not assessed
Currency and prices: Not assessed
Period and unit: Not assessed
Realization: Not assessed
Recipients and payers: Not assessed
Gross or net: Not assessed
Included costs: Not assessed
Comparison: Not assessed
Method: Not assessed
Return and payback: Not assessed

People and places

Participants: Developer: Palantir Technologies. Operator: North Rhine-Westphalia police, under the NRW Ministry of the Interior (contract since 2019).
Jurisdictions: Benefit: Siegen, Germany. Developer: United States. Operator: Germany.
Ownership and control: Not assessed
Dependencies: Not assessed
Cross-border connections: Not assessed
Geopolitical implications: Not assessed

Follow-up

Conditions for replication: The person already appears in one of the linked databases. The system links records and does not generate new ones. Investigators have lawful access to the linked registers. The opposition contests the arrangement on data-protection grounds. Licensing continues. The ministry puts the 2019–2025 cost at about 39 million euros.
Replication attempts: 2 follow-up entries. Benefit recurred: 2.
Later findings: Not assessed
Availability: Not assessed
Institutional decision: Not assessed
Grounds: Not assessed
Action and result: Not assessed
Success criterion: Not assessed

Evidence

Source numbers: AIBD-0367-source-0001–0004
Citations: Numbered references below.
Language: Not assessed
Source relationships: Independent
Original evidence: Not assessed
Access and versions: Not assessed
Supported findings: Not assessed
Evidence links: Not assessed
Evidence strength: Not assessed
Missing evidence: Not assessed

Grades

Assessed benefits: Organizations. Society.
Depth: Organizations: 2. Society: Not assessed.
Reasons: Organizations: NRW police resolved an amok-threat email address to a person in fractions of a second. They identified 51 of about 100 shooting participants at about 20 minutes each, per the ministry and a Duisburg investigator. No comparison with conventional methods and no charges or convictions are reported. Society: Siegen's administration and public had the author of a threatened amok attack identified. The sources do not say whether the threat was credible, whether the person was charged, or what harm was averted.
Observed or intended: Not assessed
Rubric: Not assessed
Assessor and date: Not assessed
Alternative assessments: Not assessed
Fill: Independently reported

Entry details

Kind: Not assessed
Related entries: Not assessed
Field: Policing / criminal investigation. Cross-database analysis for state police.
Purpose: DAR was procured to let North Rhine-Westphalia police search and link entries across police and administrative databases during investigations. Identifying suspects from an email address or from a nickname and phone number was that purpose.
Dates: Date basis unassessed: 2022 (precision unassessed). Updated: 21 October 2026.
Stage: Not assessed
Version: SHA-256: f8bb557bc7f6…

References

Other identifiers: oecd_aim: 2022-10-28-8649.
Category mappings: Not assessed
Brief: Not assessed
Revisions: 4 revisions. Latest: 21 October 2026.

Sources

News report Independent author

WELT (2022). Ministerium: «Palantir» klärte unter anderem Amokdrohung auf. WELT, 28 October 2022.
News report Independent author

Corman T, Triesch A (2022). Düsseldorf: „Palantir“ klärt Amokdrohung und Schießerei in Duisburg auf. RP Online, 28 October 2022.
News report Independent author

Westfalenpost (2022). Siegen: Amokdrohung gegen Stadtverwaltung. WP.de, 28 October 2022.
Registry label Independent author

OECD.AI (2022). AI System 'Palantir' Enables Rapid Suspect Identification in NRW Police Investigations. OECD AI Incidents and Hazards Monitor, entry 2022-10-28-8649.