Security, Privacy, Governance and Compliance
Supported by robust and contextual Data Governance and Compliance practices, Data Security and Privacy are non-negotiable to at once mitigate risk and enable potential in any data and AI program.
Data Security and Privacy
Our principled approach to trust means Security and Privacy considerations are embedded across all elements of our work, reflecting unique client requirements as well as contractual, legal, regulatory and ethical considerations.
We recognise the inseparable linkage of data privacy, security, ethics and governance, taking a by-design approach that creates a foundation for ongoing threat reduction, system resilience, confidentiality, integrity, and availability.
Data Governance and Privacy
Establishing best practice data governance frameworks and privacy policies.
Data Classification
A structured approach that categorises data into different levels of sensitivity and importance, allowing prioritised security measures and resource allocation.
PII Identification and Masking
Identifying Personally Identifiable Information (PII) across complex architectures and implementing masking techniques to reduce threat while maintaining utility for analysis and operational purposes.
AI/ML Security
Specialised security measures to protect AI/ML algorithms, models, and training data from unauthorised access, tampering and misuse.
Data Governance and Compliance
Navigating and effectively mitigating risk can simultaneously reduce liability while enhancing the value of any data and AI strategy, increasing trust and resilience. The benefits of getting it right, with better customer loyalty and AI design opportunities, far outweigh the consequences of reputational, legal and competitive risk.
We recognise the inseparable linkage of data privacy, security, ethics and governance, taking a by-design approach ensuring compliance across policy, contractual, regulatory, privacy frameworks, while fostering best practice across our clients organisations.
Data Governance Framework
Supporting best practice, customised for client needs, including defined roles and responsibilities, data policies and standards, and data stewardship practice implementation.
Data Quality Management
Identify and address data quality issues, improving accuracy and reliability with profiling, cleaning and validation.
Data Security and Privacy
Reflecting contractual, legal, regulatory and ethical requirements. Data protection strategy and measures, including data anonymisation, encryption, access controls and privacy policies.
Compliance, Audits and Assessments
Baselining compliance and developing mitigation strategies for relevant contractual, legal and regulatory requirements, and industry-specific standards.
Data Lifecycle Management
Effective data lifecycle management strategies, including data classification, retention policies, archiving and data disposable practices.
Security, Privacy, Governance and Compliance Client Stories
Transform your data
Get in touch with our team to explore how we can get you in position with data and AI.