Protecting AI

Enable secure, scalable, and responsible AI adoption through effective governance, risk management and deployment.

Enabling Responsible AI

Responsible AI requires more than technology alone. Effective governance ensures AI systems are deployed securely, managed appropriately, and aligned with organisational objectives, regulatory expectations, and stakeholder trust.

Secure and Govern AI with Confidence

Successful AI adoption requires more than selecting the right technology. Organisations must establish effective governance, manage risk, maintain oversight and ensure AI systems remain secure throughout their lifecycle.

Sentaris helps organisations implement practical AI governance programs that balance innovation with risk management.

Our approach combines internationally recognised frameworks with real-world experience to create pragmatic models that provide protection without unnecessary governance overhead.

Drawing upon frameworks including ISO/IEC 42001, the NIST AI Risk Management Framework (AI RMF) and SAIL 2.0, we help organisations establish governance structures that are proportionate, scalable and aligned to their business objectives.

Example Services

AI Governance Frameworks

Establish clear policies, controls, and accountability for the responsible use of AI across your organisation. We help define governance frameworks that address risk, compliance, ethics, data management, and oversight, ensuring AI initiatives remain secure, transparent, and aligned with business and regulatory requirements.

AI Risk Assessments

Identify, evaluate, and mitigate the risks associated with AI technologies before they impact your business. We conduct comprehensive AI risk assessments covering security, privacy, compliance, operational, and ethical considerations, helping organisations deploy AI safely, responsibly, and with confidence.

AI Security Architecture

Design and implement secure foundations for AI systems that protect data, models, and business processes. We help organisations develop AI security architectures that address access controls, data protection, model security, threat management, and compliance requirements, enabling the safe and resilient adoption of AI technologies.

AI Reference Architectures

Provide a structured blueprint for the secure, scalable, and consistent adoption of AI across your organisation. We develop AI reference architectures that define the key components, integrations, security controls, and operating models required to support AI initiatives, accelerating deployment while ensuring alignment with business, technical, and governance requirements.

Secure Design Patterns

Embed security into AI solutions from the outset with proven design patterns that reduce risk and strengthen resilience. We help organisations accelerate the deployment of secure AI capabilities at scale by establishing consistent, repeatable security controls that apply across the AI lifecycle.

AI System Risk Management

Classify AI use cases based on their business, security, privacy, and compliance risks. We help organisations assign risk tiers and apply the appropriate governance, controls, and oversight to support safe AI adoption.

AI Policies and Standards

Establish clear rules and guidelines for the responsible use of AI across your organisation. We help develop AI policies and standards that support security, compliance, governance, and consistent AI adoption.

AI Impact Assessments

Evaluate the potential risks and impacts of AI systems before deployment. We help organisations assess security, privacy, compliance, and business considerations to support responsible and informed AI adoption

AI Management System (AIMS) Development

Build a structured framework to govern and manage AI across its lifecycle. We help organisations develop AI management systems that support governance, risk management, compliance, and continual improvement for responsible AI adoption.

AI Security Reviews

Assess the security of AI systems, models, and supporting environments to identify potential risks and control gaps. We help organisations evaluate AI security controls, strengthen protections, and ensure AI solutions are deployed securely and responsibly.

ISO/IEC 42001 Expertise

Sentaris has invested in formal AI governance capability, including a certified ISO/IEC 42001 Lead Implementor who helps organisations establish and mature AI Management Systems aligned with international best practice.

This capability enables our clients to build robust governance structures, implement effective controls and establish a foundation for long-term AI assurance and continual improvement.

No single framework solves every challenge.

That is why Sentaris combines the strengths of multiple recognised approaches:

ISO/IEC 42001

For AI management systems and governance.

NIST AI RMF

For structured AI Risk Management.

SAIL 2.0

For secure AI lifecycle practices and deployment guidance.

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Providing independent security assurance through specialised AI security testing and AI-focused penetration testing.

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