Responsible AI Adoption — Two Pillars, One Engagement
AI Governance and AI Security are not separate disciplines — they are two sides of the same accountability problem. AITHIMETRY addresses both in an integrated service model.
Pillar 1
AI Governance
Strategy, risk management, programme design, regulatory readiness, and accountability — structured to produce governance that can be demonstrated to a board or a regulator, not just declared in a policy document.
AI Governance Advisory
- › AI Governance Strategy
- › AI Governance Framework Development
- › AI Governance Maturity Assessment
AI Risk Management Advisory
- › Generative AI risk advisory
- › Agentic AI risk advisory
- › Third-party AI risk advisory
- › Internal AI use case risk advisory
AI Risk Program Design
- › Risk taxonomy design
- › Risk scoring methodology
- › Risk ownership frameworks
- › Risk reporting and dashboards
- › Risk reviews — existing AI, vendor products & new deployments
AI Compliance & Regulatory Readiness
- › Regulatory Readiness Assessment (NIST AI RMF, ISO/IEC 42001, EU AI Act, MAS guidelines)
- › AI Policy Development
AI Trust & Accountability
- › AI Accountability Framework
- › AI Trust Measurement Programme
- › KPI-Driven Governance Design
Pillar 2
AI Security
Technical controls you can implement before deployment, and runtime controls that protect you while AI systems are in production. Grounded in OWASP Agentic Top 10 and real architecture review — not checkbox assessments.
Technical AI Security Controls
- › Agentic AI Architecture Review (OWASP Agentic Top 10)
- › AI Agent Identity & Access Management
- › Trust boundary & blast-radius assessment
- › Pre-deployment threat modelling
- › AI Security Architecture Design
Runtime AI Security Controls
- › AI Monitoring & Observability Strategy
- › AI Guardrails Design & Implementation Advisory
- › Adversarial Testing & Red-teaming
- › AI Incident Response Framework
- › Post-incident Architecture Fix
Security Grounded In
OWASP Agentic Top 10
The emerging risk taxonomy for agentic AI systems — covering prompt injection, excessive agency, insecure tool execution, trust boundary violations, and more. AITHIMETRY's security reviews are structured around these ten risk classes.
Why Not Big 4?
Purpose-built for mid-size organisations that need practical, agile AI governance and security — not a 200-page report that no one can execute.
| Big 4 & Large Consultancies | AITHIMETRY |
|---|---|
| Expensive — global overhead priced in | Affordable — boutique model, no overhead tax |
| Generic deliverables, templated approaches | Tailored, organisation-specific outputs |
| Theoretical recommendations | Operationally executable recommendations |
| Covers governance OR security — rarely both in one engagement | Integrated governance + security in every engagement |
| Internal teams struggle to execute after the engagement ends | Transfer is built into ADOPTS — capability stays with you |
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