Continuous, independent monitoring for AI chatbots, so compliance gaps don't go unnoticed between audits.
The problem:
One assessment isn't enough
Most AI chatbots are reviewed once, at launch or ahead of an audit, then left running unmonitored. But chatbot behaviour isn't static. Models update, edge cases emerge, and small drifts in behaviour accumulate quietly over weeks and months.
Some organisations try to solve this by setting up a manual review schedule - quarterly checks, say, run by whoever has time. In practice, these processes rarely hold up. Reviews become irregular as other priorities take over, get treated as a formality rather than a genuine check, and eventually stop happening altogether, often without anyone noticing, until something goes wrong and surfaces the gap.
Skopix is built to catch what point-in-time assessments and informal manual processes miss: the gap between when something starts going wrong and when someone notices.
How it works: Independent, continuous, no integration required
Skopix monitors your chatbot the way a real user would, using synthetic probing rather than requiring access to your code, model, or infrastructure. There's no SDK to install and nothing to integrate. Skopix interacts with your chatbot externally, the same way your customers do.
Each monitoring cycle checks four areas:
Scope adherence
Does the chatbot stay within its intended purpose, or does it drift into territory it shouldn't?
Refusal & safety behaviour
Does it correctly decline inappropriate, harmful, or out-of-scope requests?
Disclosure
Does it accurately represent what it is and what it can do, without overstating its capabilities?
Behavioural consistency
Does its behaviour stay stable over time, or has something drifted since the last check?
What you get: Evidence you can act on and hand to others
Each cycle produces a report mapped to the frameworks that matter to your organisation: NIST AI RMF, ISO/IEC 42001, and Australia's VAISS. It's built to be handed directly to a board, an auditor, or a customer's due-diligence team - not just read internally and filed away.
Because monitoring is continuous, you also get something a one-off assessment can't offer: a track record. When a customer or regulator asks "how do you know your chatbot is still compliant," the answer becomes a report you can show them, not a promise you have to make.
Sample report page - illustrative data, for demonstration purposes only
Pricing
USD 275
per month, per chatbot monitored
No setup fees · No integration costs · No long-term contract