Governance, compliance and privacy
Support risk, supplier and compliance decisions with accountable owners and evidence that can be reviewed.
Connect risk decisions, implemented controls and assurance evidence. Establish ownership across information handling, suppliers, business processes and AI-enabled workflows.
Risk management and security governance
Translate business objectives into risk decisions, accountable owners and measurable controls. Connect your risk register, security roadmap, investment priorities and exception process with evidence from day-to-day operations.
Governance also applies to AI-assisted workflows: define permitted uses, data boundaries, decision authority and review responsibilities alongside technical safeguards.
Risk assessment connects a technical condition to its likely effect on business operations, information and stakeholders. We examine exposure, existing controls, dependencies and recovery options to support a reasoned decision about treatment, acceptance or further investigation. The risk register should identify an owner and a review point, not simply contain a list of vulnerabilities.
Governance establishes how those decisions are made and maintained. Policy, architecture standards, change approval, supplier oversight and exception management need to reflect the way the organization actually operates. A workable program connects executive priorities with the tasks and evidence produced by engineering and operations teams.
For AI-enabled systems, review extends to the information a model may access, the actions it may influence and the decisions that require human approval. Model behavior, data provenance and failure handling become part of the control discussion. Deliverables can include a risk assessment, control ownership model, prioritized roadmap and management reporting structure.
Compliance and supplier assurance
Map applicable obligations and contractual requirements to implemented controls, accountable owners and retained evidence. Assess supplier access and data handling, identify gaps, and organize remediation and review cycles.
The engagement can align with your selected security and risk frameworks. Deliverables connect policy, implementation and evidence so the work can be reviewed and maintained.
Compliance work begins by identifying the relevant systems, data, business processes and obligations. From that scope, requirements can be mapped to technical and organizational controls. The mapping identifies who owns each control, how it operates, what evidence is produced and how deficiencies are corrected.
Supplier relationships introduce additional access paths and dependencies. We examine the information exchanged, the privileges granted, subcontracted services, operational responsibilities and the arrangements for termination or service failure. Supplier assessment should inform integration design and continuing oversight, rather than end with a completed questionnaire.
Audit preparation can organize existing evidence, identify missing records and establish a sustainable review cycle. Outputs may include a control matrix, gap assessment, supplier risk findings and a remediation register. These support your assurance process and make the underlying implementation easier to examine.
Privacy and data protection
Understand what information is collected, why it is needed, who can access it and how long it should remain. Build data minimization, access controls, retention, deletion and appropriate transparency into systems and operating procedures.
Address data sharing, service providers and AI processing as part of that design, with clear responsibilities for reviewing changes.
Privacy engineering follows information through its lifecycle: collection, use, storage, synchronization, sharing, retention and deletion. We examine how user expectations, business purposes and access requirements translate into application behavior. Optional features and device permissions should have a clear relationship to the service being provided.
Data protection extends beyond encrypting a storage location. It includes limiting access, separating environments, controlling exports, reviewing logs and backups, and understanding what happens when an account or supplier relationship ends. Retention and deletion procedures must account for the systems where copies actually exist.
Projects involving voice, location, documents or AI-assisted processing need particular clarity about what is processed locally, what is sent to a service and what can be retained. Typical deliverables include information-flow records, a privacy control assessment and implementation requirements that can be verified in the product.