A security lead told me something recently that stuck with me:
“We’re great at blocking outside threats. But when the threat looks like a trusted user? We’re flying blind.”
That hit home.

Because insider threats don’t set off alarms the way malware or brute-force attacks do.
They blend in. They escalate quietly.
And by the time traditional tools notice? It’s too late.

That’s why User Behavior Analytics (UBA) has become essential.
Insider threat incidents rose 67% in 2023.
Each one now costs companies an average of $16M—and that jumps if it’s not contained
within 90 days.
UBA helps you get ahead of that.
It gives you the context to see what’s normal—so you can catch what’s not.

Here are some standout UBA platforms helping security teams stay sharp:

Splunk UBA – Builds behavior baselines and flags anomalies fast, backed by machine learning.

Exabeam – Maps user timelines, connecting small signals into clear attack stories.

Rapid7 InsightIDR – Correlates behavior, cloud, and endpoint data for high-fidelity detection.

CrossClassify – Blends behavioral analysis + device fingerprinting to spot ATOs, fake accounts, and risky bots—before damage is done.

Securonix – Delivers signal-over-noise detection using built-in threat models and SOAR integration.

Even tools like Google Analytics and Hotjar (though not pure UBA) give valuable context about how users move, click, and behave—especially in fraud-heavy environments.
So here’s the question:
Are you still relying on alerts alone?
Or are you investing in insight?
Because in today’s threat landscape, UBA isn’t a nice-to-have. It’s your early warning system.
Curious which tool fits your stack?
Happy to share what I’ve seen working in fast-paced environments.

References:
https://lnkd.in/dqDprnbE
https://lnkd.in/d-tK3YPg
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