Known
Who did something unusual
Behavior analytics flag large downloads and odd logins.
Insider Risk
Insider risk doesn't break rules. It breaks expectations.
Cognni learns how information normally flows across your organization, by business category, and flags the movements that don't fit. You get fewer false positives, and full context when something does happen.
Demo: 30 minutes, built around the risks you care about.
The incident question
When sensitive data leaves, how fast can you say what it was and whether it matters?
Most teams can say a file moved. Far fewer can say what was in it, who else could reach it, and how far it went.
Partial
Which files moved
Logs show file names and paths, spread across systems.
Blind spot
What the data was
Whether those files were board material, pricing or HR records, and how much else was exposed.
The detection gap
Every insider risk program rests on four assumptions.
What the program assumes
What actually happens
Unusual behavior means risk
Without data context, a busy week and a real threat look the same
DLP rules catch exfiltration
Insiders move documents that have no pattern to match
More alerts mean more coverage
Analysts drown, and the real signals get missed
The logs tell the story
Reconstructing an incident takes weeks of manual review
How Cognni approaches insider risk
Start from the data, then watch how it moves.
Information flow mapping
Cognni learns where each category of information normally goes: which teams, which locations, which external parties.
Anomaly detection
Movements that break the normal pattern are flagged, reducing false positives by 80% compared with rule-based alerts.
Business context on every alert
Each alert says what kind of information moved, from 400+ information types and six business categories, so triage starts with what's at stake.
Timeline reconstruction
See what was accessed, who touched it and where it went, in order, without parsing logs by hand.
Blast radius analysis
Understand how much sensitive information an incident could expose, by category, to decide how to respond.
Agentless, no user impact
API connections only. Nothing to install on endpoints and no change to how people work.
From signal to answer
Months of investigation, down to minutes.
- 01
Learn normal
Cognni classifies your information and maps how each category normally flows.
- 02
Flag what doesn't fit
Movements outside the pattern are scored by the sensitivity of the data involved.
- 03
Investigate with context
Open the timeline and blast radius, and act with the facts already in front of you.
In the investigation
The difference is what you hand to HR and Legal.
Today, most teams hand over
- An alert and a user name
- A log export to interpret
- A best guess at what was exposed
- Weeks after the fact
With Cognni, you hand over
- What the information was, by type and category
- The timeline of who accessed it and where it went
- The blast radius, by category
- Evidence gathered without agents on employee devices
Questions
Insider risk questions, answered.
How is this different from UEBA?
UEBA starts from user events. Cognni starts from the data: what the information is, how sensitive it is and where it normally goes. Activity is measured against that, which is why there are far fewer false positives.
Do we need endpoint agents?
No. Cognni is agentless and connects through APIs, with no change for your users.
Does Cognni store our content?
No. Cognni does not store the content of your files. It keeps classification results and activity metadata. See our privacy policy.
30-minute demo
See an anomaly with its full context.
We'll show you how Cognni learns the normal flow of each category of information, flags what doesn't fit, and hands your team the timeline and blast radius, using scenarios that match your environment.
Book a Demo