The systems change, the exposure doesn't. We scope each assessment to how your sector actually uses AI, what data it touches, and what an attacker would reach first.
Support bots, product recommenders and order-status assistants sit directly on top of customer records, order history and payment context. They are public, high-traffic and rarely built with an attacker in mind.
AI copilots and in-product assistants often share one model and one retrieval layer across every tenant. Without strict isolation, one customer's assistant can reach another customer's data.
AI in onboarding, support and internal workflows sits next to customer money and regulated data. The bar for what can go wrong, and who is watching, is far higher.
Assistants that draft, summarise and search across client documents concentrate a firm's most sensitive material into one queryable surface.
Models touching privileged, case-sensitive and confidential material carry both a security and a professional-duty risk. Exposure is not just a breach, it is a liability.
Assistants operating near patient data or clinical decisions raise the stakes on both confidentiality and accuracy. A confident hallucination is its own hazard.
AI screening and matching tools process large volumes of personal data and make or influence consequential decisions, making them a rich target and a compliance concern.
Public chatbots are the single most exposed piece of AI a business runs: open to anyone, connected to real systems, and often shipped with no adversarial testing at all.