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University of Chicago·Illinois

RFQ for Security Software Solutions

Closes 12/3/2021$150k – $300kRequest for Quotation
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Description

The University of Chicago’s Center for Translational Data Science (CTDS) is issuing an RFQ for security software solutions to strengthen its cybersecurity posture. The solicitation seeks one or more of the following capabilities: SIEM and/or SOAR platforms, endpoint protection for laptops and cloud environments, and comprehensive cloud security services (including inventory, baseline configuration, container security, identity, and network controls). All proposed solutions must be FedRAMP‑compliant where feasible. Vendors may respond to any subset of the requirements, and proposals are due within a narrow window in early December 2021. • Provide a SIEM and/or SOAR solution to aggregate and automate threat detection and response. • Deliver endpoint protection covering laptops, endpoints, and cloud workloads. • Offer cloud‑security services covering inventory, baseline configuration, workload/container security, identity, and network controls. • Ensure FedRAMP compliance for any cloud‑based components. • Respond by December 3, 2021 (5 p.m. CST) after questions are submitted by December 1 (4 p.m. CST).

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Charlette Bermingham(Procurement Contact)

[email protected]

Key dates

Opened
11/29/2021
Questions due
12/1/2021
Closes
12/3/2021

Last updated

Details

Type
Request for Quotation
Industry
Cybersecurity
NAICS
541512

Budget estimate

$150,000 – $300,000

No budget is disclosed; however, based on typical university‑scale security software implementations (including licensing, integration, and support), the contract value is likely in the $150k–$300k range. The estimate assumes a mid‑size vendor delivering a combination of SIEM/SOAR, endpoint protection, and cloud‑security tooling, with FedRAMP compliance adding premium licensing costs.

AI estimate from the solicitation

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