For 125 days straight, Qriton Shield has defended live production infrastructure — a city public-services portal and a regional media platform — against a constant stream of probing, abuse, and outright attack. This is what the record shows, and why every number in it can be checked.
Shield applies the same evidence-first architecture behind Qriton's models to live network behaviour: it watches traffic in real time, decides how to respond, and carries the reasoning behind every action it takes. Over those 125 days it inspected 22.2 million requests and blocked 11 million of them — roughly one in two.
Quiet days look like steady background noise. The interesting days do not. On one April afternoon traffic to a single protected site jumped to 6.36 million requests in twenty-four hours. Weeks later, a concentrated flood drove 1.6 million requests from roughly 1,300 sources — and Shield blocked 98% of it, absorbing the surge without a human in the loop and without a signature list to fall back on.
Shield is built on a Modern Continuous Hopfield Network — the same family Qriton uses for its models — so it recognises coordinated activity as a pattern across IP ranges, sessions, timing, and behaviour, rather than a stream of isolated alerts. Volumetric attacks that would slip past a static rulebook show up as exactly what they are.
The heaviest floods were volumetric and concentrated: a handful of sources drove millions of requests. Geolocating the top attackers shows the load originated mainly in Romania and Germany, with bursts from Türkiye, Italy and Switzerland — and a long tail reaching the US, the Netherlands, Russia, Hong Kong, Canada and the UK. Eleven countries among the top sources alone.
The defensive posture that handled June was not the one Shield started with. Over the campaign it adjusted its own parameters 68 times — tightening per-IP thresholds, raising block sensitivity for command-and-control patterns, shifting rate limits — and it logged why each time:
perIpThreshold 40 → 38 · reason: escalationRate 0.83 > 0.30
Across the campaign its core defenses hardened in response to live pressure — every move recorded:
escalationRate 0.83 > 0.3068 self-tuning changes in total — each with a timestamp and a reason in the calibration record.
That is the difference that matters. Plenty of systems adapt; few can tell you what they changed, when, and on what evidence. Shield's calibration history reads like an operator's notebook — every decision attributable, reviewable, and defensible after the fact.
As autonomous, agentic threats become routine, "the system blocked it" stops being an acceptable answer — to a security lead, to an auditor, or to a regulator. Static perimeter defenses were built for a slower world. Shield is built for one where the action has to be explained later, in line with the standard Qriton applies across its work: systems operators can understand, auditors can review, and teams can run entirely under their own control.
Infrastructure teams can run Shield today — free on an individual server at shield.qriton.com, with enterprise deployment available across device-to-cloud infrastructure.
Have infrastructure that can't afford an unexplained answer? Talk to Qriton about Shield in your environment.