Push via MDM or GPO
Browser and desktop sensors deploy like any other managed software, through the tooling your IT team already runs.
Platform · How it works
Endpoint-native, cloud-powered. No proxy chokepoint.
Lightweight sensors see AI activity where your people work. Our cloud AI does the assessment in real time. No network re-architecture, and it works off-network.
How it works
From prompt to protected, in real time.
Lightweight sensors see AI activity where your people work. Our cloud AI does the assessment. No network proxy.
Capture
Lightweight browser and desktop sensors capture AI activity directly, wherever your people work, on or off the network.
Assess
Our cloud AI classifies the data and applies your policy in sub-second time, before anything is sent.
Block
Warn
Redact
Allow
Act
Warn, block, redact or allow, and log every decision as evidence.
Endpoint-native, cloud-powered.No network re-architecture.
Deploys via MDM / GPO. Live in hours, not months. No data-classification project to run first.
The pipeline
Follow one interaction through the platform.
From the moment someone opens an AI tool to the evidence trail your auditor sees, here is exactly what happens, in order.
- 01 · Interaction
Someone uses AI
A colleague opens ChatGPT in the browser, or a desktop AI app, and starts typing. On the network or off it, the sensor is already there.
- 02 · Capture
The sensor captures the configured data
Lightweight browser and desktop sensors capture and parse the configured data on the endpoint: the tool, the user and the content going in. No traffic is rerouted.
- 03 · Assess
Our cloud AI classifies and assesses
Detection and assessment happen in our cloud. Pre-trained, context-aware models recognise sensitive data in a prompt, a partial paste or a screenshot, then apply your policy in sub-second time.
- 04 · Act
Policy applies in the moment
Warn, block, redact or allow, before anything is sent. Different rules for finance, engineering and legal, so guardrails never turn into roadblocks.
- 05 · Evidence
Everything flows to the platform
The interaction and its associated risks land in the platform for analytics: dashboards, behavioural baselines and an audit trail that is ready before anyone asks.
Why not a proxy?
No chokepoint. Nothing to re-architect.
You already have a proxy, DLP and Microsoft. None of it was built to see or understand AI. Here is how our approach differs from routing everything through the network.
A network proxy
- Forces all traffic through one central chokepoint
- Adds latency to everything, not just AI
- Blind the moment a laptop leaves the network
- Routes and blocks traffic, but was never built to understand prompts and data in context
CultureAI sensors
- See AI activity directly, wherever your people work
- No network re-architecture and no latency on all traffic
- Work off-network, on managed devices anywhere
- Our cloud AI assesses the actual data in the interaction, in real time
Deployment
Live in hours, not months.
No agents to hand-install, no traffic to reroute and no classification project before you see value.
No classification project
Detection models are pre-trained and context-aware. Legacy DLP needs a significant configuration effort before it delivers anything; we surface real risk almost immediately.
Nothing to re-architect
No proxy chokepoint and no traffic rerouting. The network team has nothing to change, and it all works off-network too.
Common questions
The questions security teams ask us first.
What do you actually do with our data?
A fair and important question. We are ISO 27001 certified and HIPAA compliant, with all data hosted in the UK and EU. Access is governed by granular role-based access control and full audit logs, so you control who sees what and can evidence it. We require no broader access than the security vendors you already trust, and we are built to reduce your data exposure, not add to it.
Isn't this just DLP?
Legacy DLP is keyword and regex based, and needs a significant classification project before it delivers anything. Our detection is purpose-built for AI: pre-trained, context-aware models that recognise sensitive data in a prompt, a partial paste or a screenshot, live in hours.
We already have a proxy. Why add this?
Proxies route and block traffic, but they were not built to understand AI prompts and data in context, and they add a network chokepoint. We see AI activity directly where your people work and assess the data itself, with no re-architecture and no impact on the rest of your traffic.
Does it work when people are off the network?
Yes. Sensors live on the endpoint, in the browser and on the desktop, so coverage follows the device rather than the office network. Working from home, on client sites or on hotel Wi-Fi, the protection is the same.
How deep can we go technically?
As deep as you like. This page covers the flow end to end; for architecture diagrams, data-handling specifics and security questionnaires, our solutions engineers will walk your team through it. Book a demo and ask anything.
Proof by the numbers.
10,000+
AI applications catalogued
~500ms
Classification
Hours, not days
Deploys via MDM / GPO
99.9%
SLA
UK + EU / US
Data residency
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