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Pillar 01

AI Governance

Know what you have, understand the risk, and make every AI decision defensible.

AI estate discoveryFind and classify every model, tool, and use case across the organisation.
Risk classificationMap risk, ownership, and regulatory obligations before deployment.
ISO 42001 implementationBuild a practical management system with evidence that stands up to scrutiny.
Impact assessmentsAssess human, operational, and compliance impact before release.
Virtual AI OfficerRetained expert support to keep governance current as your estate changes.
Pillar 02

AI Security

Test the systems before attackers, users, or unexpected model behaviour test them for you.

Threat modellingOWASP LLM and Agentic Top 10, MITRE ATLAS, and architecture-specific risks.
Red teamingAdversarial testing of models, agents, tools, and connected data.
Agent postureEvaluate identity, permissions, memory, tools, and runtime behaviour.
Identity architectureDesign secure access controls for agents, operators, and integrations.
Secure reference designTurn findings into a practical, secure architecture your team can operate.
Pillar 03

Agentic Build

Move from a promising idea to a production-ready agent with secure delivery gates.

1. SelectChoose the right use case, bounded scope, and success criteria.
2. BuildSecure-by-design construction with identity, guardrails, and evaluation.
3. EvaluateTest behaviour, performance, resilience, and the complete agent workflow.
4. CertifyProduction readiness review and evidence package before release.
Pillar 04

Our Agents

Practical agents built on a shared substrate of identity, guardrails, evaluation, and evidence.

Assurance agentsAgents that continuously monitor security, governance, and compliance.
Business-function agentsPurpose-built agents for repeatable workflows across your organisation.
Client-adapted agentsAdapted solutions that fit your data, 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 Underneath All Four Pillars

Governance decays the moment a model version changes. Managed AI Trust is the retained layer that keeps the evidence true between audits — continuous testing, monitoring and a current evidence pack.

  • Continuous red teaming, re-tested on every change
  • Behavioural agent monitoring and telemetry
  • Evidence on demand, audit-ready, whenever asked
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Frequently Asked Questions

Yes, each pillar is available standalone — including a production readiness review or red-teaming engagement for agents we did not build.

OWASP LLM Top 10, OWASP Agentic Top 10 (ASI01-ASI10) and MITRE ATLAS, applied to your specific architecture — not a generic checklist.

Select, Build, Evaluate and Certify — bounded use cases, secure-by-design construction, eval harnesses, and a production readiness review that gates the release.

Assurance agents, business function agents and client-adapted agents — every one governed under the same management system and red-teamed against the same suite.

It typically follows the Discover (2-3 weeks) and Prioritise (1 week) phases, then runs on an ongoing basis alongside your scoped work packages.

Need any Help!

Tell us which pillar you need first — we'll scope a fixed-price starting point.

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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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