to operationalize
Zero Trust.
Frequently Asked Questions
What makes AUXO™'s architecture different from other SIEM, SOAR, or MDR platforms?
Standard platforms are event-first: they ingest telemetry, match rules, generate alerts, and map Zero Trust posture afterwards as a separate reporting layer. AUXO™ is Protect Surface-first: every event arrives already enriched with Protect Surface identity, data classification, compliance scope, and ZT policy context, which is what makes EventFlow AI possible.
How does EventFlow AI reduce 69 events to 3 analyst investigations?
Not by filtering signatures, but by evaluating each event within the Zero Trust model it's already enriched with. The funnel runs 69 raw events ingested, down to 12 prioritised for review through ZT context scoring, down to 3 analyst investigations through agentic triage and Protect Surface matching.
What are the four things AUXO™ does?
Define: continuously maintain Protect Surfaces, with real-time metadata capture in cloud environments via AUXO™'s Azure API. Detect: process every event enriched with Protect Surface context. Enforce: apply the Kipling Method (Who, What, When, Where, Why, How) at the Protect Surface. Report: one Zero Trust programme simultaneously satisfies ISO 27001, NIST 800-53, NIS2, DORA, PCI DSS, and more, as a byproduct rather than a parallel workstream.
What official recognition does AUXO™'s underlying methodology have?
The US President's National Security Telecommunications Advisory Committee cited John Kindervag, ON2IT BV as the primary Zero Trust authority. The methodology AUXO™ operationalizes became the US Government implementation standard.
How much can Zero Trust reduce breach costs, and how long has ON2IT run it in production?
Organisations with a mature Zero Trust posture reduce data breach costs by 50–75%, based on Ponemon Institute data and ON2IT's 100-point cost reduction framework. ON2IT has operated 100% Zero Trust-based managed security since 2005, more than 20 years of production use across every client and environment.