One context layer, serving the entire enterprise.

The same context layer that reads every actor's Digital Body Language serves your customers and every team below, at once. Not nine separate tools, one shared layer, used nine different ways.

Website / Product

Digital Marketing

Omnichannel

Analytics

CRM

AI Clienteling

AI Support

Risk & Fraud

AI & Data

Agentic Commerce

CONTEXT LAYER

Risk & Fraud

It's not about who the actor is. It's about having the proper context that tells you whether you can trust them or not.

Human, agent, or bot is just one signal, not the answer. What matters is who you can trust, regardless of what they are. Kahoona reads that from Digital Body Language and feeds it into the risk decisions you already make.

Combined trust signal from Digital Body Language, feeding directly into existing risk platforms

Human, agent, or bot

One signal, not the whole answer.

Malicious or trustworthy

Context that separates the two before damage is done.

Feeds existing platforms

Trust signals pass into your current risk stack.

It's about having the proper context that tells you whether you can trust them or not.

Kahoona turns signals into a combined trust signal that feeds into the decisions you already make.

User session timeline

Session • 3m 12s

Trust Score

92%

0s

60s

120s

Mouse Movement

Scroll Behavior

Keystrokes

Human

Confidence: High

92%

Trust score

High

Bot Detection

99.7%

Accuracy

Fraud Blocked

$4.8M

Net savings

False Positive Rate

0.3%

Precision

Verified Human Actor • Low Fraud Risk

01

Human, agent, or bot

One signal, not the whole answer. What matters is the context behind the session.

02

Malicious or trustworthy

Context that separates the two before damage is done. Read Digital Body Language for trust.

03

Feeds existing platforms

Trust signals pass into your current risk stack. No new platform required.

The missing primitive.Built.

Explore the Platform

Kahoona Logo

The Context Generation Layer of the Agentic Web

Divider stroke

© 2026 Kahoona Inc.

New York

One context layer, serving the entire enterprise.

The same context layer that reads every actor's Digital Body Language serves your customers and every team below, at once. Not nine separate tools, one shared layer, used nine different ways.

Analytics

CRM

AI Clienteling

AI Support

Risk & Fraud

AI & Data

Agentic Commerce

Website / Product

Digital Marketing

Omnichannel

CONTEXT LAYER

By Team

Risk & Fraud

It's not about who the actor is. It's about having the proper context that tells you whether you can trust them or not.

Human, agent, or bot is just one signal, not the answer. What matters is who you can trust, regardless of what they are. Kahoona reads that from Digital Body Language and feeds it into the risk decisions you already make.

Combined trust signal from Digital Body Language, feeding directly into existing risk platforms

Human, agent, or bot

One signal, not the whole answer.

Malicious or trustworthy

Context that tells you who to trust.

Intent and predicted value

Feeds into the risk decisions you already make.

It's about having the proper context that tells you whether you can trust them or not.

Kahoona turns signals into a combined trust signal that feeds into the decisions you already make.

User session timeline

Session • 3m 12s

Trust Score

92%

0s

60s

120s

Mouse Movement

Scroll Behavior

Keystrokes

Human

Confidence: High

92%

Trust score

High

Bot Detection

99.7%

Accuracy

Fraud Blocked

$4.8M

Net savings

False Positive Rate

0.3%

Precision

Verified Human Actor • Low Fraud Risk

01

Human, agent, or bot

Identifying what type of actor is visiting is just one signal. What matters is whether you can trust them.

02

Malicious or trustworthy

Kahoona reads Digital Body Language and determines trustworthiness, regardless of what the actor is.

03

Intent and predicted value

The combined trust signal feeds directly into the risk decisions and platforms you already use.

The missing primitive.Built.

Explore the Platform

Kahoona Logo

The Context Generation Layer of the Agentic Web

Divider stroke

© 2026 Kahoona Inc.

New York