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This document provides an assessment of the privacy risks associated with the PREDICT project, which involves the collection and sharing of internet traffic data for cyber defense research and development.
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How to fill out Privacy Impact Assessment for the Protected Repository for the Defense of Infrastructure Against Cyber Threats (PREDICT)

01
Identify the purpose of the PREDICT system and its impact on privacy.
02
Gather necessary information such as data types collected, data sources, and how data is processed.
03
Assess the risks to privacy associated with the data being collected and managed within PREDICT.
04
Determine mitigation strategies for identified privacy risks.
05
Document the data handling procedures and ensure compliance with applicable privacy laws.
06
Review and get approval from relevant stakeholders on the completed Privacy Impact Assessment.
07
Publish and maintain the Privacy Impact Assessment as necessary, updating as the system evolves.

Who needs Privacy Impact Assessment for the Protected Repository for the Defense of Infrastructure Against Cyber Threats (PREDICT)?

01
Organizations involved in the development and operation of PREDICT.
02
Data custodians who manage the data within the system.
03
Regulators and compliance officers overseeing data privacy and security.
04
Stakeholders interested in understanding privacy risks associated with the PREDICT system.
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Privacy Impact Assessments (PIAs) PIAs are an analysis of how personally identifiable information is handled. PIAs are important because they help system owners: Determine the risks of creating, collecting, using, processing, storing, maintaining, disseminating, disclosing, and disposing of PII within FISMA systems.
A Data Protection Impact Assessment (DPIA) describes a process designed to identify risks arising out of the processing of personal data and to minimise these risks as far and as early as possible.
A Data Protection Impact Assessment (DPIA) describes a process designed to identify risks arising out of the processing of personal data and to minimise these risks as far and as early as possible. DPIAs are important tools for negating risk, and for demonstrating compliance with the GDPR.
The Science & Technology Directorate's Protected Repository for the Defense of Infrastructure Against Cyber Threats (PREDICT) system is a repository of test datasets of Internet traffic data that is made available to approved researchers and managed by an outside contractor serving as the PREDICT Coordination Center (
PIAs are a decision tool used by DHS to identify and mitigate privacy risks that notifies the public which information in identifiable form is being collected.
Impact assessments are especially focused on identifying potential problems before they occur. If issues could arise, the impact assessment process takes into consideration ways to mitigate harm: ways to reduce or avoid negative consequences that might arise from a project, should the project move forward.

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The Privacy Impact Assessment (PIA) for PREDICT is a process used to evaluate the potential effects that collecting, storing, and processing personal data may have on individuals' privacy. It aims to identify and mitigate privacy risks associated with the operations of the PREDICT repository.
Entities that manage or oversee the PREDICT repository, including federal agencies and contractors involved in data collection and analysis related to cyber threats, are required to file a Privacy Impact Assessment.
To fill out a Privacy Impact Assessment for PREDICT, stakeholders must complete a standardized template that includes information about the data being collected, the purpose of collection, the potential impacts on privacy, and measures taken to mitigate any identified risks.
The purpose of the Privacy Impact Assessment for PREDICT is to ensure compliance with privacy laws and regulations while protecting individuals' personal information. It seeks to ensure that privacy risks are identified and addressed proactively throughout the data handling process.
The PIA must report information such as the categories of data collected, the reasons for data collection, the intended use of the data, retention periods, potential disclosures of the data, and security measures in place to protect the data.
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