Justice-sector AI / United States / U.S. Department of Justice — Department-wide

Cybersecurity Defense Tools

U.S. Department of Justice — Department-wide · Justice ministry · 2025

status as stated: DeployedUse-case inventory entryAnalyticsCrowdStrike, Zscaler, Splunk, Lookout, Palo Alto Networks, and Cisco Secure Network Analytics

The DOJ 2025 inventory lists Cybersecurity Defense Tools for U.S. Department of Justice — Department-wide. The row states the stage as Deployed; it classifies the use case as Classical/Predictive Machine Learning for Cybersecurity and says it addresses Addresses manual process of detecting unknown cybersecurity threats.

Addresses manual process of detecting unknown cybersecurity threats.

Status date given by the source: 01/2024.

Official record: justice.gov · archived copy
Read: 2026-09-07 · primary document read
Found via: doj-inventory-2025
Notes: DOJ spreadsheet row DOJ-0101; original component field: Department of Justice / Department Wide.

United States federal record — public domain (17 U.S.C. §105). The status word is the source's own on the read date; a pilot is not recorded as a deployment and a contract is not recorded as use. This record summarises a public court document or official publication and reports what it says; SafeLegalAI makes no findings of its own. Individuals and organisations are named only as they appear in that public record. Anyone named may send a right of reply, correction or contextual update (for example an appeal, vacatur or later disposition) via /report; we add a dated note where appropriate. Reply or correct this record.

compiled by the Cognesio LLP editorial teammethodas of 2026-09-07v0.1.1coding CC BY 4.0JSON Hugging Face GitHub