Interkey’s own proof-of-concept work in operator networks frames carrier-scale
traffic control as three distinct engineering problems, and it is worth naming them,
because a vendor conversation that does not address all three is incomplete.
First, identification of encrypted and adversarial applications.
The hard cases are not the applications that want to be identified but the ones
built to avoid it: in the Android application market alone there are hundreds of
VPN applications and variants, many actively disguising themselves as legitimate
traffic. Interkey’s approach uses an AI traffic model with multi-modal feature
extraction and automated in-network probing, and profiles VPN usage by frequency
and behaviour specifically to cut false-positive blocking, because at national
scale, wrongly blocking legitimate traffic is as damaging as missing the target.
Second, reliability at terabit scale. A platform sitting in the
subscriber path at national traffic volumes has to be engineered for failure: the
design uses full-mesh interconnection between control and user planes and layered
disaster recovery from the virtual machine up to the resource-pool level. Interkey
states 99.999% reliability for this design; like every figure on this page, that is
Interkey's own product figure and belongs in your acceptance criteria, not on
a poster.
Third, policy that closes the loop in real time. Classification that
arrives in tomorrow’s report is archaeology. The platform’s reporting
layer (“Live View”) is built for second-level visibility, so that a
policy applied to a traffic class can be observed taking effect, measured, and
corrected, within the hour rather than within the quarter.