Service 07 of 08
AI Auditing
In the race to integrate AI, oversight is not optional. Our independent audits evaluate your deployments against five critical pillars, so your AI is ethical, secure, compliant, transparent and effective.
Whether you built it, bought it or found it already running, an AI system in a regulated environment has to be explained and defended. We audit what it does, what data it uses, who is accountable for it and whether it actually works.
What it covers
What AI Auditing includes
Scoped to what you need, from a single piece of advice to the whole programme.
-
01.
Ethical
Bias and fairness across the people it affects, the impact of a wrong decision, and whether those decisions can be challenged.
-
02.
Secure
How data enters and leaves the system, prompt injection and misuse, access control, and the third parties in the chain.
-
03.
Compliant
UK GDPR, data protection impact assessments, sector regulation, and the EU AI Act where it applies to you.
-
04.
Transparent
Whether the system can be explained to the people it affects and the people who oversee it, and whether the documentation exists.
-
05.
Effective
Measured accuracy on real cases, cost against the benefit claimed, and how often people overturn the system’s decisions.
How we deliver it
Four practices on every engagement
An audit you can hand to a regulator, a board or a customer, with findings rated and a plan to fix them.
- 01
Scope
The systems in question, the decisions they influence, the data they touch and the standards you must meet.
- 02
Inspect
Models, prompts, training and reference data, logs, access controls and the documentation, or its absence.
- 03
Test
Adversarial inputs, bias checks across groups and accuracy on held-out cases, run on the live system where we can.
- 04
Report
Findings rated by severity, each with an owner and a remediation, and an evidence pack that stands on its own.
Where it applies
Sectors where this matters most
- Financial services and insuranceDecisions about customers that regulators expect to be explainable, fair and recorded.
- Public sectorAlgorithmic transparency obligations and the public’s right to understand how a decision about them was made.
- HealthcareClinical and patient data handled under information governance, with human accountability intact.
Also from Synapsys
The other seven services
Your AI
Do you know what your AI is doing?
A scoped audit takes a few weeks and produces a report you can put in front of a regulator, a board or a customer.