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Digital Forensics Tool that enables the collection, preservation, and analysis of digital evidence used to investigate and reconstruct cyber incidents with precision.

Forecast
Federal

Contract Overview

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The Social Security Administration’s Office of Information Systems and Technology Management is forecasting a need for a digital forensics tool capable of collecting, preserving, and analyzing digital evidence to support the investigation and reconstruction of cyber incidents with high accuracy. This capability is critical for ensuring the integrity of digital data encountered during cyber investigations, enabling precise attribution and recovery of evidence from compromised systems. The tool must support the full lifecycle of forensic examinations, from initial acquisition through to detailed analysis and reporting, while adhering to established standards for evidentiary handling. No solicitation number, NAICS code, set-aside details, or point of contact are currently available, and the anticipated performance location is unspecified. The contract forecast is posted under the agency’s Office of Small and Disadvantaged Business Utilization, with information accessible via the SSA’s public contract forecast portal. While the exact procurement timeline and requirements are not yet defined, the anticipated solution must align with federal digital forensics protocols and support the agency’s mission to protect its information systems from evolving cyber threats.

General Info

Digital forensics tool needed for collecting, preserving, and analyzing cyber incident evidence with high accuracy.

NAICS

N/A

Place of Performance

USA

Set-Aside

NONE

Documents

0

No documents available

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Organization & Contact Information

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AgencySocial Security Administration - DITSM
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Digital Forensics Tool that enables the collection, preservation, and analysis of digital evidence used to investigate and reconstruct cyber incidents with precision.

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