DA10 -- Greater Los Angeles Artificial Intelligence Threat Detection

Agency: VETERANS AFFAIRS, DEPARTMENT OF
State: California
Type of Government: Federal
FSC Category:
  • R - Professional, Administrative and Management Support Services
NAICS Category:
  • 541519 - Other Computer Related Services
Set Aside: No Set aside used
Posted Date: Aug 11, 2026
Due Date: Aug 17, 2026
Solicitation No: 36C10B26Q0746
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Description

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DA10 -- Greater Los Angeles Artificial Intelligence Threat Detection
Active
Contract Opportunity
Notice ID
36C10B26Q0746
Related Notice
Department/Ind. Agency
VETERANS AFFAIRS, DEPARTMENT OF
Sub-tier
VETERANS AFFAIRS, DEPARTMENT OF
Office
TECHNOLOGY ACQUISITION CENTER NJ (36C10B)
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General Information
  • Contract Opportunity Type: Sources Sought (Original)
  • Original Published Date: Aug 11, 2026 10:54 am EDT
  • Original Response Date: Aug 17, 2026 11:00 am EDT
  • Inactive Policy: 15 days after response date
  • Original Inactive Date: Sep 01, 2026
  • Initiative:
    • None
Classification
  • Original Set Aside: No Set aside used
  • Product Service Code:
  • NAICS Code:
    • 541519 - Other Computer Related Services
  • Place of Performance:
    Los Angeles , CA 90073
    USA
Description

The Department of Veterans Affairs (VA), Office of Security and Law Enforcement (OSLE), is a federal law enforcement organization with specialized responsibilities for reducing crime and protecting persons and assets within the jurisdictional boundaries of the Department of Veterans Affairs. OSLE is charged with safeguarding Veterans, their families, VA employees, volunteers, visitors, and contractors, as well as the physical infrastructure, medical assets, and sensitive information housed within VA facilities. In carrying out this mission, OSLE oversees VA Police operations, physical security programs, and the integration of security technologies that support the protection of VA persons and property.



To ensure the safety and security of the Veterans, their families, VA staff, and VA facilities, OSLE has determined that the existing video surveillance system at the West Los Angeles VA Campus requires significant improvements, as it does not provide the coverage, reliability, or capability necessary to support modern security operations across a campus of this size and population density. Identified deficiencies including gaps in camera coverage, aging or degraded equipment, limited real-time monitoring capability, and the absence of intelligent analytics constrain OSLE's ability to detect, deter, and respond to security incidents in a timely manner and place an unsustainable burden on personnel who must manually monitor a large volume of camera feeds. Addressing these deficiencies is essential to protecting the growing resident population at NCWI and maintaining a secure environment across the West Los Angeles VA Campus.



In support of enhanced security operations, the VA intends to incorporate Artificial Intelligence (AI) capabilities to assist in reviewing surveillance footage, enabling the rapid identification of weapons that are in plain view and not concealed. AI-based detection is intended to augment not replace, the vigilance of VA Police and security personnel by continuously analyzing video feeds, flagging visible weapons in real time, and accelerating the delivery of actionable alerts to responders. By pairing an upgraded, reliable video surveillance infrastructure with AI-driven weapons detection, OSLE seeks to reduce the time between the appearance of a visible threat and an effective security response. Early detection of brandished weapons can provide critical seconds for personnel to initiate protective actions, notify law enforcement, and safeguard the Veterans, families, and staff who live and work on the West Los Angeles VA Campus.





SEE ATTACHED REQUEST FOR INFORMATION AND DRAFT PERFORMANCE WORK STATEMENT


Attachments/Links
Contact Information
Contracting Office Address
  • 23 CHRISTOPHER WAY
  • EATONTOWN , NJ 07724
  • USA
Primary Point of Contact
Secondary Point of Contact


History
  • Aug 11, 2026 10:54 am EDTSources Sought (Original)
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