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Juno AI Connectors

Your data stays. Juno AI's reasoning travels — and comes back with evidence.

The connection system

Sources at the edges. One system in the middle. Evidence flowing to a place you can inspect.

Juno AI Connectors Graphic
Grounded

An ontology of your environment

A model built from your actual systems — inspectable, challengeable, never taken on faith.

  • Relationship autodiscovery from your real data.
  • Confidence-scored, evidence-backed relationships.
Verifiable

Evidence, not prose

Every conclusion traces back to the query that produced it — a chain you can stand behind.

  • Evidence → Hypothesis → Decision, fully traceable.
  • Every query is visible — auditable access, not just answers.
Governed

A perimeter you drew

Boundaries defined once, inherited everywhere. Precise, bounded, ontology-guided queries.

  • Scoped, credentialed access with per-tenant isolation.
  • No ingestion, nothing copied, no burden on your systems.
Claiming MCP connectors is easy. Building the connection system that makes them grounded, governed, and verifiable is hard.
The difference

Generic MCP connector, or a connection system

Generic MCP connector + LLM 

What the model knows about your environment

Whatever's in the prompt

Query behavior

Whatever the model improvises

Impact on source systems

Unbounded — license and compute exposure

Auditability

Tool-call logs, if any

What comes back

Context for a summary

Cross-source investigation

Manual — the model juggles tools

Juno AI Connectors

What the model knows about your environment

An ontology discovered from your systems, validated with evidence

Query behavior

Ontology-guided, bounded, safe-query governed — per backend

Impact on source systems

Precise, disciplined queries; nothing ingested or copied

Auditability

Every query visible; full access audit in the glass box

What comes back

Evidence — cited, traceable, correlated across sources

Cross-source investigation

Native — correlations grounded in validated relationships

Juno AI Edge

Reaches systems that never touch the internet.

The same connection system, extended to air-gapped and on-prem environments through a secure outbound tunnel. Same ontology, same governance, same standard of evidence — the data never leaves its perimeter, and the reasoning still comes back cited.
Juno Edge Diagram
Extensibility

The system you don't have yet.

A new connection isn't a new project — it's a new instance of the same system. It inherits everything the moment it exists. That's a property of the architecture, not a line on a roadmap.
→ 01

Open protocol foundation

Built on open, standard connection protocols — not a private format only Juno AI can speak.
→ 02

Manifest-based onboarding

A new source is declared, not hand-wired. Governance and evidence discipline come attached.
→ 03

Days, not quarters

Because the system is already built, onboarding a source is configuration — measured in days.

Work where your team works.

Connectors are not just sources of data — Juno AI writes back through them. Verified conclusions become tickets opened, cases closed, and automations triggered, right where your team already works.

  • Raise and enrich remediation tickets with evidence attached

  • Update and close cases through native actions

  • Trigger response playbooks in your automation layer

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Watch the demo

Juno AI Connectors in Action

Watch Juno AI pull evidence from multiple connected sources and resolve an investigation end to end.
Connector library
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H
Apache Hive
Available
Azure Data Explorer (Kusto)
Available
CrowdStrike Falcon
Available
Databricks SQL
Available
GitHub
Available
GitHub Enterprise Server
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Google Workspace
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Jira
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Microsoft 365 Admin Logs
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Microsoft Dynamics 365 Case Management
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MongoDB
Available
Neo4j
Available
Cortex XDR
Available
Salesforce
Available
Splunk Log Analysis
Available
T
Tines
Available
Soon
Okta
Coming soon
Cortex XSIAM
Available
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Uptycs Data Lake
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Uptycs XDR/EDR
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AWS CloudWatch
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Wiz
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Google
Available
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ServiceNow
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See Juno AI in action

Juno AI is the latest evolution of the Uptycs platform – trusted by enterprises for unified visibility across cloud, workloads, containers, and endpoints.

Ready to see how Juno AI works in your environment?