Introducing Juno: The First Verifiable AI Analyst for Cybersecurity

It’s almost 2026, and AI has become the go-to feature for every security tool on the market. But for most teams, the results have been underwhelming.

Security analysts are still overwhelmed. Triage takes too long. Alerts are noisy. And many of the new AI tools just add more of the same: more noise, more uncertainty, more dashboards that require interpretation.

Juno is our answer to that frustration. It’s not a chatbot. It’s not a bolt-on. It’s a superhuman SOC analyst assistant, fully integrated into the Uptycs platform. And it’s designed to give your team something AI hasn’t delivered yet: clear, verifiable answers you can actually use.

No hallucinations. No black boxes. Just faster, more confident decisions — backed by real data, real logic, and full transparency.

A New Kind of AI for a Different Kind of Need

Juno is built for security teams who need to move fast and be sure. It helps SOC analysts interpret detection data, accelerate investigations, and cut through the noise — without compromising control.

At its core is a simple principle: every output must be verifiable. Juno helps analysts interpret detection data faster, make more confident decisions, and reduce the time spent verifying whether a finding is real. At its core is a commitment to verifiability: every output is backed by real queries, real log data, and a clear line of reasoning.

You don’t have to take Juno’s word for it. You can check the work.

What Juno Can Do

• Translate complex detections into plain English
  • Juno provides clear summaries of security events—alongside the raw evidence that supports them. That includes SQL queries, log sources, and reasoning chains. You can investigate what happened, where it happened, and why it matters, all in one view.

• Accelerate investigations
  • You can give Juno a CVE, a blog post, or even a package list. It will build the right queries, run them across your environment, and return actionable insights. This makes investigation workflows significantly faster, especially for smaller teams.
• Identify what’s affected, and what isn’t
  
  • Juno doesn’t just flag alerts. It maps impact. Analysts can immediately see which assets are affected, which are not, and what to prioritize—reducing manual triage and noise.
• Maintain confidence without sacrificing control
  
  • Every Juno output is verifiable. Analysts can drill into the logic, examine the data sources, and validate findings before taking action. That means less guesswork and more trust.

Built for Analysts. Backed by Security and Privacy.

Juno isn’t a standalone chatbot or a bolt-on feature. It’s a fully integrated part of the Uptycs platform, designed to support real analysts doing real work.

Everything about Juno is built for trust. Every finding is verifiable, with the underlying queries, logs, and logic clearly shown. Output is backed by actual evidence, not vague model confidence. And responses are crafted to support workflows – not to impress in a demo.

It’s fast, but it’s also private. Juno runs on Anthropic’s Claude, deployed via AWS Bedrock, which means your telemetry is never used to train the model. All features are optional and configurable, and your data stays in your environment, under your control.

This is AI that helps without hiding. No black boxes. No guessing. Just answers you can verify.