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The problem: attackers move from initial access to lateral movement in seconds, yet teams deeply investigate only 20 to 40 percent of alerts, skipping exactly the ones attackers count on. Compliance monitoring is continuous in cadence but point-in-time in substance. And the AI meant to help is a black box you can't act on. Status: unresolved. juno.investigate()

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SIG: UNRESOLVED
[  solution.  ]

Juno extracts signal across every source you already have

Juno leverages the unified platform: single security console, policy frameworks and Security Datalakes of Uptycs to create detailed analysis with actionable security findings.

[  01 // ONTOLOGY  ]

Grounded in your ontology, not the model's imagination

An Okta user, a CloudTrail actor, an endpoint login — one entity. Juno correlates through real relationships in your data, not statistical guesses.

[  02 // PLAYBOOKS  ]

Nothing moves. Juno meets you how you work.

Your team lives in ServiceNow, Jira, or your SOAR — so that's where Juno operates. It picks up the ticket, runs the investigation, and writes grounded findings back to the same ticket.

[  03 // GLASSBOX AI  ]

Trust because you verified.

Every conclusion comes with the exact queries Juno ran, the raw telemetry it read, and the reasoning chain that connects them — auditable by a security architect, defensible to a board.

[  04 // INVESTIGATION  ]

Hunt, pivot, dig.

Independent threat hunting in plain English — ask Juno anything, follow the evidence wherever it leads, and every answer carries the same glass-box trail.

[  why-juno.  ]

Why we're different from competitors

01

Verifiable

glass-box trail on every step
02

Grounded

unified security ontology
03

Calibrated

tuned to your organization
04

Multi-source

across every tool you run
[  compare.  ]

Juno vs AI Chatbots

Same questions, two very different answers. Every row is something you can open up and check yourself.

features

FEATURE
AI Chatbots
01
Evidence-backed output
Traditional AI
02
Fully verifiable findings
Traditional AI
03
Natural language + query logic
Traditional AI
04
Runs in your telemetry
Traditional AI
05
Designed for real-world analysts
Traditional AI
06
Expand queries beyond your data
Traditional AI
07
Queries connected sources in parallel
Traditional AI
08
Shows SQL, raw data, and reasoning chain
Traditional AI
[  integrations.  ]

Queried in place, not ingested

Read-only analysis with zero telemetry leaving your environment
See all integrations
SIG 05 / 05
JUNO AI
LIVE
CONFIDENCE 0.97
[  testimonials.  ]

Customer testimonials

"Juno addresses the cybersecurity professional's aspiration to leverage a conversational interface, interact with their own data, and harvest insights, explanations, and recommendations. This capability increases the engagement of cyber professionals."
Srinivas Tummalapenta
CTO, IBM CyberSecurity Services
[ 01 ]
"As a trusted partner bringing Juno to our clients, we see its potential to transform how organizations approach cybersecurity. Its ability to provide clear, verifiable insights, rather than opaque alerts, is something that resonates strongly in the market."
Rich Douros
CRO at Defy Security
[ 02 ]
"Our partnership with Uptycs reflects a shared commitment to verifiable, intelligent cybersecurity solutions that empower teams to stay ahead of risk while transforming how enterprise security operates"
Roland Costea
CISO and Executive Vice President, Enterprise Cloud Services at SAP
[ 03 ]
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