LexisNexis Practical Guidance®

Identifying and classifying types of data or information can be useful in the context of data security to help determine what:legal obligations and rights may apply to the data or information;benefits and risks may arise from its possession or use; andthe data or information can be used for, by whom, and in what circumstances.Where applicable, it may be useful to classify or categorise data or information as:personal information;confidential information and trade secrets;financial data or information;intellectual property; orgovernment official information.Personal information is defined in the Privacy Act 1988 (Cth) (Privacy Act).An organisation may have confidentiality obligations to other parties in relation to data or information. It may have trade secrets such as valuable methods or know-how which are a source of

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An organisation can seek to prevent or minimise a personal data security breach occurring by implementing an effective organisational data security compliance framework.An effective organisational data security compliance framework can avoid or minimise the risk of an organisation and individuals within it breaching personal data security obligations.Such a framework should usually include:regular audits of the organisation’s IT security policies, systems, controls, processes and practices;effective IT security policies, systems, controls, processes and practices;staff training and awareness of data security obligations;a positive and strong compliance culture; andongoing governance oversight.An organisation should conduct regular audits of the organisation’s IT security systems, processes, practices and policies.An organisation should develop and maintain effective IT security policies, systems, controls, processes and practices to prevent or minimise

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A service provider is an organisation or person that provides any form of service to another organisation or individual.Most service providers will have access to, use or store data or information in relation to providing a service that could be involved in a data security breach.Such data or information may include personal information, confidential financial information or trade secrets, intellectual property and government official information.A data security breach may arise whenever data or information of a service provider is accessed or used in any manner without permission, or is stolen, lost, corrupted, damaged or destroyed.This may occur through the deployment of malicious code, by the acts or omissions of the service provider’s employees or contractors, and through unauthorised access to

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Data security is frequently an issue of critical importance in commercial contracts between both public and private sector customers and their respective suppliers.Under commercial agreements, a supplier may have access to, or be responsible for managing or hosting, confidential business information, personal information or government official information of the customer or the customer’s end-users.The issue of data security tends to be addressed in commercial contracts with an ever-increasing level of sophistication and detail, as technological developments continue to rapidly advance and the risk of data security breaches is ever-present.Data security obligations in commercial contracts are often addressed under three topics:data security;privacy; andconfidentiality.Data security obligations in commercial contracts can cover a number of aspects of data security, including compliance with a

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The term “big data” is often defined with reference to the characteristics of the volume, variety and velocity of data (the “three V’s”).The characteristic of “volume” refers to the quantity or magnitude of data. “Variety” refers to the range of different types of data. “Velocity” refers to the speed at which data is generated, processed or analysed.Other features of big data that have been identified are veracity, variability and complexity. The characteristic of “veracity” refers to the unreliability or imprecision of certain data. “Variability” refers to variability in the rate or velocity of data flow. “Complexity” refers to the multiple sources from which data may be generated.Big data is created, transferred, stored, hosted, used and processed daily in virtually all

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