
Data Processing Inventories: Part 5 — Making the most of yours
In this final part of our series on Data Processing Inventories, elevenM’s Laura McVey looks at making the most of the work you’ve done to develop and maintain it.
In this final part of our series on Data Processing Inventories, elevenM’s Laura McVey looks at making the most of the work you’ve done to develop and maintain it.
In part 4 of this series, we will consider some of the ways that you can use tooling to help you assemble and maintain a DPI. We will also look at some of the available tools on the market.
In part 3 of our series on data processing inventories, we will look at a practical process that you can follow to build your organisation’s DPI.
In this second part of our short series on data processing inventories, elevenM’s Cassie Findlay takes a look at the benefits of a process-oriented approach.
In the first of this five-part blog series about data processing inventories, elevenM’s Laura McVey asks organisations to think about data minimisation principles and reassess what they actually need to collect about individuals.
There’s no consensus among Australian organisations on how to approach the challenge of AI and data ethics, new research by elevenM has found.
elevenM’s Valerie Ng explains the importance of data minimisation in preventing privacy and security breaches, and outlines five practical steps to to build a data minimisation program.
elevenM’s Angela Wong describes how to create a Privacy Management Plan and get the most out of it.
elevenM’s Piotr Debowski explores a new framework to manage AI risks – NIST’s AI risk management framework. He describes how it works and when you should consider using it.
elevenM’s Arjun Ramachandran explores the common pitfalls that communications professionals need to avoid when managing a cyber security crisis.