Buyers often conflate AI consulting with AI security testing. Both matter. They answer different questions.
Choose AI consulting when you need
– A board-ready view of AI risk ownership – Policies and approval paths that match how you ship – Vendor diligence for models and AI SaaS – A roadmap that balances value and control maturity
Consulting answers: *Are we adopting AI in a way leadership can defend?*
Choose AI security testing when you need
– Evidence of concrete weaknesses in a live or pre-prod system – Prompt injection / red-team results against a defined threat model – Prioritized remediation for engineers – Validation after a major model or tool change
Testing answers: *Where does this system fail under abuse — and how bad is it?*
When you need both
Most enterprises past the pilot stage need a thin governance layer and targeted testing on the highest-risk AI surfaces. A common sequence:
1. Short discovery + risk tiering (consulting) 2. Assessment/red team on tier-1 systems (security) 3. Policy and SDLC gates updated from findings (consulting again)
Regional note
Buyers in Turkey, MENA, and Russian-speaking markets often evaluate in English while needing local-language stakeholder materials. Plan for that in kickoff — not as an afterthought.
Next step
Tell us whether your urgent gap is governance, technical assurance, or both. We will propose a briefing scoped to that gap.