---
title: "Home"
url: "https://humrik.com/"
description: "Understand, Predict and Change Human Risk. Humrik connects behavioral intelligence, governed AI and adaptive learning to build a more resilient workforce."
updated: 2026-11-06T15:55:25Z
summary: "Understand, Predict and Change Human Risk. Humrik connects behavioral intelligence, governed AI and adaptive learning to build a more resilient workforce."
---

# Understand. Predict. Change.

**Human risk. Human resilience.**

Your people are your greatest potential. Turn everyday behavior into intelligence. And intelligence into a stronger human defense.

- BEHAVIORAL DNA: Understand the individual
- PREDICTIVE INTELLIGENCE: See beyond the signal
- ADAPTIVE DEFENSE: Build safer habits

Human-centered. AI-powered. Enterprise-ready.

Connected to your stack. Focused on your people.

- Microsoft 365
- Google Workspace
- okta
- CROWDSTRIKE
- splunk

## Awareness is a start. Real change is the goal.

Connect the dots between what people do, where risk is emerging, and what will actually help. One platform. A continuously stronger human layer.

### Understand — See the complete picture

**Every signal. A more human picture.**

Bring identity, endpoint, email, and learning signals together. Behavioral DNA reveals the context behind each person’s risk, so your next step is an informed one.

- Continuous, individual risk scoring
- Behavioral baselines and anomaly detection
- Department-level visibility and attribution

### Predict — Get ahead of emerging risk

**Spot the pattern. See what comes next.**

Connect behavioral anomalies with identity, privileges, and exposure. Surface emerging risk and likely attack paths, with the context your security team needs to prioritize.

- Predictive behavioral risk modeling
- Identity relationships and attack-path context
- Explainable signals for informed triage

### Change — Make safer behavior second nature

**The right moment. A lasting difference.**

Translate risk intelligence into relevant action. Give each person the learning, practice, or nudge they need, then measure the outcome and adapt the next step.

- Personalized 90-second micro-learning
- Adaptive simulations and gamified quests
- Quiet hours, workload awareness, and outcome tracking

## Meet IRIS. Your next advantage.

A governed team of specialist AI agents that turns complex signals into considered action. IRIS connects risk, learning, and response—within the boundaries you set.

- **Autonomous, with accountability.** Policy gates, human review, and traceable decisions.
- **Personalized, with empathy.** Right-time interventions that respect workload and quiet hours.
- **Private, by design.** Tenant-specific models and private inference options.

- **Risk triage** — Scores every incoming signal
- **Behavioral baseline** — Knows this person's normal
- **Blast radius** — Maps what the account can reach
- **Policy & governance** — Applies your rules and approval gates
- **Containment** — Steps up sign-in, revokes sessions
- **Wellbeing guard** — Respects workload and quiet hours
- **Adaptive content** — Picks the right 90-second lesson
- **Evidence & reporting** — Seals a receipt for every action

### Case 01 · Contain — A lookalike invoice link is clicked

- 09:41:02 **Risk triage:** Link leads to a lookalike invoice portal with a credential form. Scored critical.
- 09:41:04 **Behavioral baseline:** Usual laptop and city, no new sign-ins since the click. No takeover yet.
- 09:41:04 **Blast radius:** This account can approve supplier payments. High blast radius.
- 09:41:09 **Policy & governance:** Policy FIN-07: containing a payments user needs a human. Routed to the on-call analyst.
- 09:41:47 **On-call analyst:** Reviewed the evidence and approved containment in 38 seconds.
- 09:41:52 **Containment:** Session revoked, step-up MFA forced, and the link blocked for all 61 recipients.
- 09:42:10 **Wellbeing guard:** Quarter-end close today, so the lesson waits until after 17:00.
- 09:42:11 **Adaptive content:** 90-second invoice-fraud comic queued for 17:05, in their own language.
- 09:45:08 **Evidence & reporting:** Receipt sealed: 7 agents, 1 human approval, every action traceable.

### Case 02 · Verify — Two countries, 40 minutes apart

- 01:44:10 **Risk triage:** Sign-in from Frankfurt 40 minutes after Delhi, on a new browser. Scored high.
- 01:44:12 **Behavioral baseline:** Travels often, but has never signed in at 01:44 local time.
- 01:44:12 **Blast radius:** Holds export rights for 4,200 customer records in the CRM.
- 01:44:15 **Policy & governance:** A step-up check is pre-approved for this pattern. No human needed.
- 01:44:16 **Containment:** Step-up MFA pushed to the known phone; CRM export paused.
- 01:47:30 **Behavioral baseline:** Confirmed on the known phone: a hotel VPN. Baseline learns the route.
- 01:47:31 **Wellbeing guard:** It is 01:47 for them, so nothing else is sent before 09:00.
- 01:47:32 **Adaptive content:** Two-minute tip on hotel Wi-Fi and VPNs scheduled for the morning.
- 01:50:40 **Evidence & reporting:** Receipt sealed; the false alarm is labelled so it is not raised again.

### Case 03 · Change — A third simulated-phish click

- Day 0 **Risk triage:** Third simulated-phish click in 60 days. Real-world exposure is rising.
- Day 0 **Behavioral baseline:** Every click came after 21:00 on a phone. Daytime reporting is good.
- Day 0 **Wellbeing guard:** Three weeks of overtime. Simulations paused for five days.
- Day 0 **Policy & governance:** People-first policy: coaching, not blame. No escalation to their manager.
- Day 1 **Adaptive content:** Video modules swapped for a 90-second comic about late-night lures, mornings only.
- Day 14 **Risk triage:** Next simulation reported from their phone within 2 minutes.
- Day 30 **Evidence & reporting:** Report rate up 3×, risk back in the safe band. Receipt sealed.

Illustrative cases. Agent roles reflect how IRIS divides the work; people are pseudonymised and timings are modelled.

## Small moments. Stronger security.

Move from annual training to everyday progress.

### Practice for the real world.

Adaptive phishing simulations build the instincts to recognize and report social engineering.

[Phishing & simulations](https://humrik.com/#platform)

### Learning that meets the moment.

Short, relevant experiences, interactive comics, and gamified quests make safer habits stick.

[Adaptive learning](https://humrik.com/#platform)

### Show the change that matters.

Turn behavioral outcomes into executive reporting, department insights, and verifiable audit trails.

[Risk insights & reporting](https://humrik.com/#platform)

## Fits your ecosystem. Elevates your defense.

Bring signals from the tools you already use into one human-risk view. Identity, email, endpoints, and collaboration—all with context.

- Microsoft 365 — email & identity
- Okta — identity
- Google Workspace — collaboration
- CrowdStrike — endpoint
- Slack — collaboration
- Splunk — security signals

### Your signals. One perspective.

Humrik’s technical specification describes connectors for these systems. Deployment scope and permissions are reviewed during onboarding.

- **Microsoft 365 & Azure AD:** email and identity signals
- **Google Workspace:** workspace security activity
- **Okta:** identity and authentication
- **CrowdStrike:** endpoint security telemetry
- **Slack:** collaboration signals
- **Splunk:** security event context

Signal normalization, pseudonymization, and tenant-scoped ingestion support a consistent view across sources.

## People aren’t the weakest link. They’re the most responsive one.

## Enterprise strength. Human at heart.

Your people deserve thoughtful security. Your organization deserves control. Humrik is designed for both.

- **Privacy built in**: Tenant isolation, pseudonymized signals, and configurable data governance.
- **Your policies. Your control.**: Role-based access, step-up authentication, and approval gates for sensitive actions.
- **Evidence you can trace**: Cryptographically verifiable audit chains connect actions to outcomes.
- **Built for your environment**: Private AI options and integrations across your existing security ecosystem.

## The same signal, framed for what you own.

### Security & awareness — A program that adapts on its own.

Stop sending one monthly simulation to everyone. Training and difficulty retarget to the people who need them, automatically.

- Simulations retargeted by real click behavior
- Lessons assigned the moment a risky action happens
- One view instead of three disconnected tools

### SOC & IT — The human layer, without another console.

IRIS reads what your identity provider, mail gateway and EDR already log, and hands your SOC a correlated view.

- Read API into the signal graph for SIEM and SOAR
- Escalations arrive with rule and evidence attached
- Containment behind the approval gates you set

### Privacy — Guardrails you can sign off on.

Every automated decision logs the policy it followed. Behavior data never leaves without a traceable reason.

- Every action logged with its rule and evidence
- Pseudonymized signals and tenant isolation
- Plain enough to describe in your own privacy notice

### Leadership — One number the board can follow.

A single trended human-risk score, backed by evidence, instead of a once-a-year click-rate slide.

- One trended score instead of several vendor reports
- Time to contain, not just click rates
- A pilot before any procurement commitment

## Thinking on human risk.

[All resources](https://humrik.com/resources.html)

Unlock your people’s potential. Change your risk. See what a more intelligent, more human defense looks like.
