A signal nobody is producing.
Human behavior often precedes a breach, but most platforms can’t see it. Moxso turns it into SOC-ready intelligence, enriched by identity, endpoint and network signals. It’s a two-way integration, not a one-way feed.
An integration where both signals get better.
Four reasons an integration with Moxso is worth an engineering quarter, starting with the one that is easiest to miss.
A two-way exchange, not a one-way feed
Your signals sharpen Moxso’s human risk intelligence. Moxso sends that context back into your platform. Both sides get smarter.
False positives drop when signals connect
Combine security alerts with human risk context to prioritize real threats and deprioritize noise faster.
Fewer dashboards, not another one
Human risk context lands in the tools your analysts already use. No extra screen required.
Built to move fast
Modern APIs and fast development keep integrations aligned with new threats, regulations and platform needs.
Two signals meet, and the verdict stops being a guess.
A technical alert from your platform and a human risk signal from Moxso arrive at the same correlation step. What comes out is a response sized to the person: escalated when risk is high, a targeted nudge when it is moderate, closed as a false positive when it is low. Decided on evidence rather than on an analyst’s hunch.
Worked example: one medium-severity alert, suspicious activity after an email link click, arrives in your SIEM. The SIEM queries the Moxso human risk signal, the enriched context returns, and the verdict goes to your SOC, sized to the person, across three risk profiles from the monitored population. For a high-risk marketing coordinator (resilience score 24 of 100, third click in 30 days) it becomes a high-priority incident scored 87 of 100 and is contained in 14 seconds. For a moderate-risk colleague (score 55, occasional slips) it is not escalated: a targeted training module is assigned automatically and the profile is reweighted. For a low-risk colleague (score 85, first anomaly) it is closed as a false positive without escalation.
of breaches involve the human element, and almost none of it reaches the SOC.
Source · Verizon DBIR 2026
Four kinds of telemetry that sharpen the score.
If your platform already produces any of these, there is an exchange to build. Each one carries context the Human Resilience Score cannot derive from behavior alone.
Identity and access signals
Impossible travel, repeated MFA failures, and anomalous login times, tied to a named user.
Endpoint and EDR alerts
Device-level detections that can be weighed against the same user’s behavior profile rather than read in isolation.
Email security verdicts
Real malicious and clean determinations from live mail, not only what Moxso’s own phishing simulations generate.
Network anomaly detections
Unusual data movement or access patterns that can be tied back to a specific identity.
Four signals, in a form a SOC can consume.
This is what actually crosses the bus. Each signal is scoped to a person rather than a device, which is what makes it correlate with everything your platform already collects.
Resilience Score
A per-user score quantifying human risk posture, updated continuously as behavior changes.
Risk Framework Exposure
Per-user exposure mapped to ISO 27001, SOC 2 and NIS2, including AI risk categories no legacy vendor covers.
Behavioral Events
Structured records emitted the moment meaningful behavior changes. Event-driven, not batched.
External Threat Context
Live intelligence mapped to the individual: threats relevant to their role, their credentials, their context.
Tell us which signal you would send.
The quickest way to start is to say which signal your platform could send into Moxso and which one you would want back. That single answer tells us whether we are building a source, a consumer, or both.

