INTRODUCING BEACONAI™

Meet your new
security advantage.

Not another place to look.
A more intelligent way to investigate.

Ask questions across your connected security stack. Bring evidence, environment context, and operational knowledge into the same conversation.

See BeaconAI in action
The BeaconAI robot from the HU Ad project
START WITH A QUESTION

Your expertise.
More context behind it.

Select a workflow to explore sample questions for BeaconAI. These are examples, not a live connection to the platform.

EXAMPLE WORKFLOW / NOT A LIVE DEMO

“Where are we exposed to this CVE?”

Explore affected endpoints across clients, review severity, and use supporting evidence to inform remediation priorities.

Explore your use case with our team ↗
EVIDENCE BEFORE ASSUMPTION

Intelligence you can
interrogate.

BeaconAI’s grounded narration links analytical claims to supporting evidence. Your team remains responsible for reviewing findings and authorizing the next step.

01

Grounded analysis

Evidence markers and references help analysts trace the context behind a finding.

02

Threat context

Bring MITRE ATT&CK references, known exploited vulnerabilities, and correlated events into investigation.

03

Local knowledge

Use environment-specific intelligence, documentation, and runbooks alongside broader threat context.

MAKE THE NEXT MOVE

Less noise.
More forward.

Bring your security stack. We’ll show you a more connected way to work.

Let’s talk