Media & Enterprise
A large organisation runs the same checks in many places at once and has good reason not to gather everything sensitive into a single system to do it. FaceOff runs where the material already is, lets each site work on its own, and leaves a record of every decision that can still be reviewed long afterwards
Overview
Run checks across many sites and departments without pooling sensitive material in one place, and keep a record of every decision.
Scale changes this problem rather than simply enlarging it. A group with offices, plants, campuses or branches in many places needs the same question answered the same way in all of them, and the usual route to that is to send everything to one central system and decide there.
That route creates a second problem. Pooling video, recordings and identity material turns many modest targets into one very attractive one, moves sensitive material between departments and borders that may not be permitted to share it, and leaves every site depending on a link staying up. In many organisations the rules governing the material simply do not allow it.
The checks below run where the material already is. Each site works on its own and keeps its own record, so what the organisation gains is a common standard and a reviewable trail, rather than one place where everything sensitive was collected for the sake of convenience.
What you deploy
These are the products large organisations deploy most often, covering the people who sign in, the meetings they hold, the media that reaches them and the sites they operate.
Autonomous voice interviewer with trimodal audio, visual and linguistic forensics.
ExploreLive face recognition across your camera network, matched against your watch-lists.
ExploreKey capabilities
What this sector asks for most often. Each one runs at the moment a decision is being made, and each returns a result a reviewer can explain to somebody else.
A group can hold one standard across offices, campuses, plants and branches without those sites having to become a single system. Each place runs its checks locally, so the standard travels while the material stays where it is.
Access is confirmed continuously rather than only at sign in, so a shared password or a workstation left open is surfaced while the session is still running instead of being reconstructed from logs afterwards.
The person on a live video call is confirmed while the call is happening, and video and images arriving by email, portal or browser are checked before anybody acts on them. Executive impersonation and instruction fraud arrive through exactly those routes.
Every action is recorded and can be searched, so a decision taken at one site on one day can be explained to an auditor, a regulator or an internal investigation without depending on the memory of whoever happened to be on duty.
Analysis can run inside your own environment and on hardware you own, which is what makes a common standard workable when material has to stay inside a country, a department or a building. Nothing needs to be pooled centrally in order to be checked.
A site that loses its link keeps checking. That matters for a plant, a remote branch or a secure area, where an outage otherwise means the checks quietly stop and nobody finds out until something has already gone wrong.
Where it is used
Every entry names a product on this site and describes it the way its own page does.
BehaviorBioAuth checks identity from behaviour and keeps checking through a session.
DeepMeetGuard confirms the person on a live video call is real while the call is happening.
DeepVideoGuard checks recorded video, and DeepBrowserGuard checks what people meet online while it is on screen.
CrossCam PersonTrack runs on your own hardware, and each site works on its own rather than becoming an island of data.
Common questions
No. CrossCam PersonTrack runs on your own hardware inside your own network and each site recognises independently rather than shipping video to a centre. A common standard does not require a common pile of data.
Yes. CrossCam PersonTrack makes no call outside your network in normal running and can run with no internet at all, so a site keeps working through an outage and a secure area can be covered without being connected to anything.
Yes. Actions are logged and can be searched, which is what makes a decision reviewable long after it was taken, and what an internal audit or an external regulator tends to ask for first.
DeepMeetGuard confirms the person on a live video call is real while the call is happening, and a warning arrives before a decision is made. DeepVideoGuard and DeepBrowserGuard cover the recorded and online routes the same fraudulent instruction usually travels by.
Each site runs independently rather than inheriting one central configuration, so a standard can be applied where it actually applies. What that looks like against your own structure is worth walking through on a demo rather than stated as a general rule.
No. These sit alongside your existing access, meeting, recording and case systems and answer a question those systems were never built for. Findings come back in a form your review and audit processes can carry without a new workflow.
BehaviorBioAuth stores no biometric templates, and CrossCam PersonTrack runs on hardware you own inside your own network. Meeting a security standard should reduce what an organisation is holding rather than create a new store that then has to be defended.
Yes. DeepBrowserGuard rolls out to a workforce as a browser extension, which is how a check reaches everybody who opens media in the course of their work rather than only the people in a security function.
Yes. Any method of detection can be mistaken in either direction, human judgement included, so a finding is an evidence based reason to look rather than a verdict. The record that comes with it is what lets a decision be examined and, where necessary, put right.
Bring your own footage. We will run it through the Adaptive Cognito Engine and walk you through the findings.
