Palo Alto Unit 42 Public Sector Expertise on Demand Subscription
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
The contract involves delivering investigative support and analysis to strengthen indicators of compromise and improve threat actor attribution by utilizing commercial, open-source, and proprietary data sources. The work focuses on identifying actors behind cyber compromises through the examination of emerging threats and vulnerabilities, with the goal of generating actionable intelligence to help the Office of the Comptroller of the Currency anticipate and neutralize associated risks. Additionally, the effort includes deep research into methods that embed threat intelligence directly into existing systems to enable proactive defense capabilities and enhance overall cybersecurity posture. This effort is structured under the Palo Alto Unit 42 Public Sector Expertise on Demand Subscription, solicited under number 2031JW26Q00082 with a response deadline of August 21, 2026. The contract, classified under NAICS code 541519, is issued by the Office of Management / CFO within the Department of the Treasury and will be performed in Washington, D.C. with no set-aside provisions. All inquiries should be directed to Marlon Holland at the provided contact information, with the opportunity to participate through the SAM.gov portal linked in the solicitation.
General Info
Agency
NAICS
Place of Performance
Washington, DC, 20219, USASet-Aside
Documents
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Timeline
Response Deadline
Organization & Contact Information
Full Description
This project involves providing investigative support and analysis to enhance indicators of compromise and assess attribution, leveraging commercial, open-source, and proprietary data sets. The project aims to identify the threat actors involved in a cyber compromise through the analysis of emerging threats and vulnerabilities, and to identify intelligence to help OCC anticipate and mitigate risks associated with the threat actors. The project also aims to provide in-depth research on techniques that integrate threat intelligence with our tools to provide proactive defense of OCC systems.This project involves providing investigative support and analysis to enhance indicators of compromise and assess attribution, leveraging commercial, open-source, and proprietary data sets. The project aims to identify the threat actors involved in a cyber compromise through the analysis of emerging threats and vulnerabilities, and to identify intelligence to help OCC anticipate and mitigate risks associated with the threat actors. The project also aims to provide in-depth research on techniques that integrate threat intelligence with our tools to provide proactive defense of OCC systems.
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