Auditors are now asked to assure AI systems they were never trained to test. Arthiq equips internal and IT audit teams to plan and run an AI audit end to end — governance, operations, and technique.
Run onsite with audit teams, hands-on with the tools and techniques that self-study certifications cannot cover in the room.
Ideal for: L&D · Audit partners · ISACA channels
Not the failures that make headlines — the quiet ones that pass review, because they arrive looking exactly like a correct answer.
A model's explanation of its output is generated text, not a record of computation. It reads like evidence and is not.
Traditional sampling assumes consistent process behaviour. A model that fails on unusual inputs breaks that assumption exactly where risk concentrates.
A control nobody can re-run cannot be tested, only described.
For Heads of Compliance, MLROs, and compliance monitoring and assurance teams inside regulated financial firms.
Supervise the AI your business has already deployed — with a control framework, a risk register, and the questions that surface real exposure.
For Internal and IT audit teams, audit partners, and audit professionals.
Plan and run an audit of an AI system — its governance, its operation, and the tools to actually test it.
For Model-risk, validation, data-science oversight and second-line teams.
Challenge, validate and sign off AI and machine-learning models with a clear, defensible process.
For All staff — a whole-company awareness session.
Spot AI-powered scams, deepfakes and data leaks — and use AI tools without putting the company at risk.
A short conversation about your team, your risk, and the session that would move them. No pitch deck — just the right scope and dates.
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