AI Security, Governance & Compliance

We help you assess and govern AI risk so you understand and manage the risks that come with adopting AI. We support identification of where AI is used or planned, evaluation of data, security, bias, accuracy and operational risks, and definition of governance roles, policies and controls. We can align with your existing risk and compliance frameworks and help you establish AI-specific governance (e.g. model risk, accountability, review cycles). The goal is to give you a clear risk picture and a governance structure so AI decisions are informed, documented and accountable.

We help you implement AI securely so models and data are protected throughout the lifecycle. We support secure design and deployment: access control and authentication, encryption of data at rest and in transit, secure development and deployment pipelines, and hardening of infrastructure and APIs. We consider both the AI stack (models, training data, inference) and the surrounding environment (identity, network, logging) so your AI systems meet your security standards and reduce exposure to misuse or breach. We can align with your security policies and support accreditation or assurance where relevant.

We help you address AI data privacy and compliance so your use of data in AI respects privacy and regulatory requirements. We support mapping of data flows (what data is used to train or run models, where it is stored and who can access it), assessment against privacy and sector rules (e.g. POPIA, industry standards), and design of controls such as data minimisation, consent and purpose limitation, and retention. We can help you document processing activities, implement technical and organisational measures, and align with your legal and compliance teams so your AI use is transparent and compliant.

We help you monitor AI models and evaluate performance so you know how they behave in production and when to act. We support definition of metrics (accuracy, fairness, drift, latency, usage), design of monitoring and alerting, and evaluation of model behaviour over time. We can help you detect drift, degradation or unexpected behaviour and establish review and retraining processes so your models remain fit for purpose. We work with your data and platform teams to integrate monitoring into your existing tooling and processes so you have visibility and control over AI performance.

We help you define and implement AI usage policies and organisational standards so AI is used consistently and in line with your risk and compliance requirements. We support drafting of policies (acceptable use, data handling, procurement, vendor use of AI) and standards (e.g. design, testing, documentation, review). We can align with your existing governance and help you communicate and enforce policies through training, access controls and audit. The goal is to give your organisation clear, actionable rules for AI so adoption is governed, repeatable and auditable.