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Pillar 01

AI Governance and Compliance

Understand where AI is used across your organisation, assess the risks and establish clear controls. Our enterprise AI governance approach helps organisations improve visibility, support AI compliance and make AI decisions more accountable.

AI estate discoveryFind and classify AI models, tools and use cases across your organisation to improve visibility and identify unmanaged AI usage.
AI Risk ClassificationAssess AI risks, business impact and regulatory requirements to support safer and more informed deployment decisions.
ISO/IEC 42001 implementation UAEBuild an AI management system aligned with ISO/IEC 42001 requirements, supported by practical policies, controls and evidence.
AI Impact AssessmentsEvaluate potential human, operational, security and compliance impacts before AI systems are released.
Virtual AI OfficerGet ongoing guidance to help maintain AI governance as your AI estate and business requirements evolve.
Pillar 02

AI Security Testing and Protection

Identify vulnerabilities before they affect your business. Our AI security services assess AI models, agents, tools and integrations to help organisations reduce exposure and strengthen security before deployment.

Threat ModellingIdentify threats across LLMs, AI agents and connected systems using recognised security practices and architecture-specific risk analysis.
Red TeamingTest AI systems against threats such as prompt injection, unsafe outputs, data exposure and unauthorised actions through targeted AI red teaming.
Agent PostureAssess agent identity, permissions, memory, tools and runtime behaviour to identify security gaps in AI agent environments.
Identity architectureDesign secure access controls for AI agents, operators and connected systems to support least-privilege access.
Secure Reference DesignTurn assessment findings into practical security architecture, safeguards and implementation guidance.
Pillar 03

Secure Agentic AI Development

Turn AI ideas into useful business solutions with a structured development process. Our agentic AI development approach combines clear objectives, secure-by-design practices, testing and readiness checks to help prepare AI agents for production.

1. SelectChoose the right AI approach, define the use case, set boundaries and agree on measurable success criteria.
2. BuildDevelop AI agents with appropriate identity controls, guardrails, integrations and security requirements.
3. EvaluateTest agent behaviour, performance, reliability and end-to-end workflows before release.
4. CertifyReview production readiness and prepare supporting evidence before deployment. This is an internal readiness review, not a claim of external certification.
Pillar 04

Enterprise AI Agents for Business Operations

Deploy AI agents for real business workflows with appropriate controls and oversight. Our approach combines AI assurance, governance and security to help organisations use agents responsibly across enterprise operations.

Assurance AgentsAgents that support continuous monitoring of security, governance and compliance requirements.
Business-Function AgentsPurpose-built agents designed to support repeatable workflows across business functions.
Client-Adapted AgentsAI agents adapted to each organisation’s data, processes, controls and operating model.
Every Agent GovernedShared evaluation and evidence keeps every agent accountable in production.
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AI governance and security services
Why Choose Us

Managed AI Trust Across All Four Pillars

AI risks change as models, data, tools and integrations evolve. Our AI governance monitoring approach supports ongoing oversight through monitoring, security testing and maintained evidence. This helps organisations keep AI controls relevant beyond initial deployment.

  • Continuous testing as AI systems change
  • Behavioural monitoring and lifecycle oversight
  • Up-to-date evidence for reviews and audits
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faq's

FAQs About AI Governance and Security Services

Yes. Organisations can engage us for a specific service, such as AI security testing, governance assessments or agent development. The scope can also combine multiple pillars when a connected approach is needed.

The testing approach depends on the AI system, use case and threat model. We can consider relevant guidance such as OWASP resources for LLM and agent security, alongside applicable organisational policies and security requirements.

Our four stages are Select, Build, Evaluate and Certify. They help define the use case, develop the solution, test its behaviour and review its production readiness before deployment. The final stage is a readiness review, not a guarantee of external certification.

Our solutions include agents for business workflows and enterprise use cases, such as recruitment, finance and procurement. Each solution should be assessed against the organisation’s goals, data requirements, security controls and operating processes.

The timeline depends on the number of AI systems, the existing governance and security controls, and the monitoring requirements. We define the scope and onboarding plan after understanding your environment.

Discuss Your AI Governance and Security Needs

Tell us about your AI goals, security concerns or governance requirements. Our team can help you identify the right services and define practical next steps for secure and responsible AI adoption.

LARETH.AI service consultancy support
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The Artificial Intelligence, Agentic AI and AI Assurance division of Cyberwaze Global — governing, securing and building agents that reach production.

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