A Privacy Impact Assessment (PIA) is a process which assists organizations in identifying and managing the privacy risks arising from new projects, initiatives, systems, processes, strategies, policies, business relationships etc. [1] [2] It benefits various stakeholders, including the organization itself and the customers, in many ways. [3] In the United States and Europe, policies have been issued to mandate and standardize privacy impact assessments. [4] [5]
A Privacy Impact Assessment is a type of impact assessment conducted by an organization (typically, a government agency or corporation with access to a large amount of sensitive, private data about individuals in or flowing through its system). The organization reviews its own processes to determine how these processes affect or might compromise the privacy of the individuals whose data it holds, collects, or processes. PIAs have been conducted by various sub-agencies of the U.S. Department of Homeland Security (DHS), [6] [7] and methods to conduct them have been standardized. [5]
A PIA is typically designed to accomplish three main goals:
A privacy impact report seeks to identify and record the essential components of any proposed system containing significant amounts of personal information and to establish how the privacy risks associated with that system can be managed. [8] A PIA will sometimes go beyond an assessment of a "system" and consider critical "downstream" effects on people who are affected in some way by the proposal. [9]
Since PIA concerns an organization's ability to keep private information safe, the PIA should be completed whenever said organization is in possession of the personal information on its employees, clients, customers, and business contacts, etc. Although legal definitions vary, personal information typically includes a person's: name, age, telephone number, email address, sex, and health information. A PIA should also be conducted whenever the organization possesses information that is otherwise sensitive, or if the security controls systems protecting private or sensitive information are undergoing changes that could lead to privacy incidents. [10] [11]
According to a presentation at the International Association of Privacy Professionals Congress, a PIA has the following benefits: [3] [12]
PIAs involve a simple process: [10] [11]
In the 1970s, the Technology Assessment (TA) was created by the United States Office of Technology Assessment. A TA was used to determine the societal and social repercussions of new technologies. Similarly, at around this time came the Environmental Impact Assessments (EIA), a reaction to the social push from the sixties Green movements. The method of both of these impact assessments acted as precursors to the creation of the PIA. The Privacy Impact Statement was a much less extensive version of the PIA that came about in the late eighties. During the 1990s there became a need to measure the effectiveness of a company or organization's data security, especially with most data now being stored on computers or other electronic platforms. More extensive PIAs started to be used more frequently by corporations and governments in the mid 1990s, and now are used by organizations all around the world, and by several governments including, New Zealand, Canada, Australia, and the United States Department of Homeland Security to assess privacy risk of their systems. In addition several other countries and corporations use assessment systems similar to PIAs for data risk analysis. [13] [14]
The E-Government Act of 2002, Section 208, establishes the requirement for agencies to conduct privacy impact assessments (PIAs) for electronic information systems and collections. The assessment is a practical method of evaluating privacy in information systems and collections, and documented assurance that privacy issues have been identified and adequately addressed. The process is designed to guide SEC system owners and developers in assessing privacy during the early stages of development and throughout the systems development life cycle (SDLC), to determine how their project will affect the privacy of individuals and whether the project objectives can be met while also protecting privacy. [4]
The European Commission signed its first Framework for Privacy Impact Assessments in the context of RFID Technology in 2011. [5] This served as a basis to later recognize Privacy Impact Assessments in the General Data Protection Regulation (GDPR), which in some cases now mandates data protection impact assessment (DPIA). Aside from new IT systems and projects, the PIA approach has value for structured, periodic reviews or audits of an organization's privacy arrangements.
PIAF (A Privacy Impact Assessment Framework for data protection and privacy rights) is a European Commission co-funded project that aims to encourage the EU and its Member States to adopt a progressive privacy impact assessment policy as a means of addressing needs and challenges related to privacy and to the processing of personal data. [15]
Information privacy is the relationship between the collection and dissemination of data, technology, the public expectation of privacy, contextual information norms, and the legal and political issues surrounding them. It is also known as data privacy or data protection.
Identity and access management or Identity management (IdM), is a framework of policies and technologies to ensure that the right users have the appropriate access to technology resources. IAM systems fall under the overarching umbrellas of IT security and data management. Identity and access management systems not only identify, authenticate, and control access for individuals who will be utilizing IT resources but also the hardware and applications employees need to access.
Personal data, also known as personal information or personally identifiable information (PII), is any information related to an identifiable person.
Information technology controls are specific activities performed by persons or systems to ensure that computer systems operate in a way that minimises risk. They are a subset of an organisation's internal control. IT control objectives typically relate to assuring the confidentiality, integrity, and availability of data and the overall management of the IT function. IT controls are often described in two categories: IT general controls (ITGC) and IT application controls. ITGC includes controls over the hardware, system software, operational processes, access to programs and data, program development and program changes. IT application controls refer to controls to ensure the integrity of the information processed by the IT environment. Information technology controls have been given increased prominence in corporations listed in the United States by the Sarbanes-Oxley Act. The COBIT Framework is a widely used framework promulgated by the IT Governance Institute, which defines a variety of ITGC and application control objectives and recommended evaluation approaches.
Enterprise risk management (ERM) in business includes the methods and processes used by organizations to manage risks and seize opportunities related to the achievement of their objectives. ERM provides a framework for risk management, which typically involves identifying particular events or circumstances relevant to the organization's objectives, assessing them in terms of likelihood and magnitude of impact, determining a response strategy, and monitoring process. By identifying and proactively addressing risks and opportunities, business enterprises protect and create value for their stakeholders, including owners, employees, customers, regulators, and society overall.
Information security standards are techniques generally outlined in published materials that attempt to protect a user's or organization's cyber environment. This environment includes users themselves, networks, devices, all software, processes, information in storage or transit, applications, services, and systems that can be connected directly or indirectly to networks.
The Automated Targeting System (ATS) is a United States Department of Homeland Security computerized system that, for every person who crosses U.S. borders, scrutinizes a large volume of data related to that person, and then automatically assigns a rating for which the expectation is that it helps gauge whether this person may be placed within a risk group of terrorists or other criminals. Similarly ATS analyzes data related to container cargo.
Security controls or security measures are safeguards or countermeasures to avoid, detect, counteract, or minimize security risks to physical property, information, computer systems, or other assets. In the field of information security, such controls protect the confidentiality, integrity and availability of information.
Information security management (ISM) defines and manages controls that an organization needs to implement to ensure that it is sensibly protecting the confidentiality, availability, and integrity of assets from threats and vulnerabilities. The core of ISM includes information risk management, a process that involves the assessment of the risks an organization must deal with in the management and protection of assets, as well as the dissemination of the risks to all appropriate stakeholders. This requires proper asset identification and valuation steps, including evaluating the value of confidentiality, integrity, availability, and replacement of assets. As part of information security management, an organization may implement an information security management system and other best practices found in the ISO/IEC 27001, ISO/IEC 27002, and ISO/IEC 27035 standards on information security.
The ISO/IEC 27000 family comprises information security standards published jointly by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC).
Information technology risk, IT risk, IT-related risk, or cyber risk is any risk relating to information technology. While information has long been appreciated as a valuable and important asset, the rise of the knowledge economy and the Digital Revolution has led to organizations becoming increasingly dependent on information, information processing and especially IT. Various events or incidents that compromise IT in some way can therefore cause adverse impacts on the organization's business processes or mission, ranging from inconsequential to catastrophic in scale.
The EINSTEIN System is a network intrusion detection and prevention system that monitors the networks of US federal government departments and agencies. The system is developed and managed by the Cybersecurity and Infrastructure Security Agency in the United States Department of Homeland Security (DHS).
The Command, Control and Interoperability Division is a bureau of the United States Department of Homeland Security's Science and Technology Directorate. This division is responsible for creating informative resources that strengthen communications interoperability, improve Internet security, and integrity and accelerate the development of automated capabilities to help identify potential threats to the U.S.
The Risk Management Framework (RMF) is a United States federal government guideline, standard, and process for managing risk to help secure information systems. The RMF was developed by the National Institute of Standards and Technology (NIST), and provides a structured process that integrates information security, privacy, and risk management activities into the system development life cycle. The RMF is an important aspect of a systems attainment of its Authority to Operate (ATO).
Privacy by design is an approach to systems engineering initially developed by Ann Cavoukian and formalized in a joint report on privacy-enhancing technologies by a joint team of the Information and Privacy Commissioner of Ontario (Canada), the Dutch Data Protection Authority, and the Netherlands Organisation for Applied Scientific Research in 1995. The privacy by design framework was published in 2009 and adopted by the International Assembly of Privacy Commissioners and Data Protection Authorities in 2010. Privacy by design calls for privacy to be taken into account throughout the whole engineering process. The concept is an example of value sensitive design, i.e., taking human values into account in a well-defined manner throughout the process.
The General Data Protection Regulation, abbreviated GDPR, is a European Union regulation on information privacy in the European Union (EU) and the European Economic Area (EEA). The GDPR is an important component of EU privacy law and human rights law, in particular Article 8(1) of the Charter of Fundamental Rights of the European Union. It also governs the transfer of personal data outside the EU and EEA. The GDPR's goals are to enhance individuals' control and rights over their personal information and to simplify the regulations for international business. It supersedes the Data Protection Directive 95/46/EC and, among other things, simplifies the terminology.
Privacy engineering is an emerging field of engineering which aims to provide methodologies, tools, and techniques to ensure systems provide acceptable levels of privacy. Its focus lies in organizing and assessing methods to identify and tackle privacy concerns within the engineering of information systems.
The NIST Cybersecurity Framework (CSF) is a set of voluntary guidelines designed to help organizations assess and improve their ability to prevent, detect, and respond to cybersecurity risks. Developed by the U.S. National Institute of Standards and Technology (NIST), the framework was initially published in 2014 for critical infrastructure sectors but has since been widely adopted across various industries, including government and private enterprises globally. The framework integrates existing standards, guidelines, and best practices to provide a structured approach to cybersecurity risk management.
The Consular Consolidated Database (CCD) is a database used by the Bureau of Consular Affairs under the United States Department of State, that has over 290 million passport records, 184 million visa records, and 25 million records of U.S. citizens living overseas, and adding 35,000 visa cases a day.
The Investment Data Standards Organization (IDSO) is a U.S.-based organization that publishes Alternative Data standards. IDSO was established to support the growth of the Alternative Data industry through the creation, development, and maintenance of industry-wide standards and best practices. IDSO is a non-profit 501(c)(6) organization made up of companies in the Alternative Data industry such as data originators, intermediaries, and institutional investment funds.
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