Privacy solutions for app development teams

Protect privacy, demonstrate compliance and build trust.

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Design

User Stories

Concrete descriptions of privacy and data protection requirements and associated acceptance criteria to drive Agile development of applications and features

Technical Designs

Requirements, architectures, data models and controls that embed privacy and data protection by design into applications, features and pipelines

Mockups

User interface designs and user flows for privacy and data protection features within applications, including privacy dashboards and privacy notices

Prototypes

Interactive, high-fidelity prototypes to demonstrate proof-of-concept, gather feedback and refine the design of privacy-preserving applications and features

Develop

Applications

Production ready applications that operationalise data protection principles, incorporate privacy-preserving methods and support data governance practices

Features

High-quality features that fulfil application use cases with privacy-preserving architectures and methods, and which support privacy management within applications

Frameworks and Libraries

Modular components that provide functionality to support privacy and data protection tasks within applications and features

Tools and Plugins

Custom command line tools and IDE plugins to support developers with privacy-preserving application development, data governance and accountability

Evaluate

Privacy Reviews

Assessment of applications, features and third party components to determine what, how and why personal data is processed and consistency with privacy requirements

Data Protection Impact Assessments

Formal, systematic analyses of applications and features to identify, assess and mitigate privacy and data protection risks and demonstrate compliance to stakeholders

Data Maps

Comprehensive records of data assets that are processed and how these data assets flow across technical and organisational boundaries within applications

Code Audits

Detailed examinations of codebases to identify privacy and data protection risks arising from the techniques, libraries, tools and services used

Comment

OpenAI agent's 'infiltration' of an Australian government website

Update

Initial version of AI Usage Notice published

Comment

Joint Committee report on Human Rights and the Regulation of AI

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Dr Chris Smith

Founder and Director of PrivacyForge Limited

I am an experienced Computer Scientist and Privacy Engineer with a deep understanding of privacy protection from a technical and legal perspective.

I specialise in delivering bespoke privacy solutions that help app development teams to protect privacy; demonstrate compliance with legislation, guidance and policies; and build trust with users, regulators and partners.

I have significant experience of developing frameworks, methods, applications and tools for privacy protection, accountability and trust, including novel methods for cutting-edge data-driven projects in the health domain.

I have a BSc (Hons) Computer Science (1st Class) from Durham University, a PhD Computing Science from Newcastle University, and over 10 years of research experience at leading UK universities, including the University of York and the University of Leeds.