Verifiable AI: The Foundation for Trust in Cybersecurity

 

Introducing a new standard for security AI with transparent reasoning, evidence-backed insights, and audit-ready confidence.

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Verifiable AI Simplified

What Is Verifiable AI?

Verifiable AI gives security teams evidence they can trust by connecting every conclusion to specific logs, timestamps, and event IDs. Instead of black-box alerts, analysts get clear reasoning chains they can validate instantly. Uptycs delivers this through Juno, the first AI Analyst built on a unified data model that provides transparent, audit-ready insights.

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Verifiable AI by the Numbers: Scale, Fatigue, Impact

960+

Daily Alerts in the Average SOC
Security teams process over 960 alerts per day, with large enterprises exceeding 3,000, creating constant alert overload.

25%

Time Lost to False Positives
Analysts lose a quarter of their workday chasing false positives, slowing investigations and draining team capacity.

15 mins

Faster Verification
With Juno’s evidence chains, analysts verify findings in 15 minutes instead of spending over an hour rebuilding investigations.

Meet Juno AI Analyst

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Key Insights and Takeaways

The AI Trust Crisis in Security Operations

Explore why modern SOCs are overwhelmed by alert volume, false positives, and black-box AI systems that provide conclusions without proof, creating skepticism and slowing investigations.

Introducing Verifiable AI

Learn how Verifiable AI replaces opaque predictions with evidence-backed reasoning, complete audit trails, and source-level citations that analysts can confirm independently.

Juno: Verifiable AI in Action

See how Juno uses unified telemetry across endpoints, cloud, containers, and identity to build transparent reasoning chains that cut verification time from more than an hour to just minutes.

The AI Trust Crisis in Security Operations
Introducing Verifiable AI
Juno_ Verifiable AI in Action

Key Insights and Takeaways

The AI Trust Crisis in Security Operations

Explore why modern SOCs are overwhelmed by alert volume, false positives, and black-box AI systems that provide conclusions without proof, creating skepticism and slowing investigations.

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Introducing Verifiable AI

Learn how Verifiable AI replaces opaque predictions with evidence-backed reasoning, complete audit trails, and source-level citations that analysts can confirm independently.

Group 62104 (1)

Juno: Verifiable AI in Action

See how Juno uses unified telemetry across endpoints, cloud, containers, and identity to build transparent reasoning chains that cut verification time from more than an hour to just minutes.

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Key Verifiable AI Capabilities

Evidence-Backed Conclusions
Evidence-Backed Conclusions

Every finding is tied to concrete logs, timestamps, and event IDs, giving analysts proof they can validate rather than predictions they must trust blindly.

Clear, Reproducible Reasoning
Clear, Reproducible Reasoning

Verifiable AI builds complete reasoning chains that show each step from observation to conclusion, making investigations transparent and fully auditable.

Faster, Confident Investigation
Faster, Confident Investigation

Built-in evidence chains cut verification time from more than an hour to just minutes, helping teams respond quickly without sacrificing accuracy.

“Pharmaceuticals, hospitals, healthcare, public companies, organizations that don’t have the talent and skills to defend themselves - they’re getting sucker- punched.”

Kevin Mandia

“Uptycs contextualizes threat activity across K8s, cloud services, and laptops. We've dramatically shortened our threat investigation time.”

Anwar Reddick
Director of Information Security, Greenlight Financial

Pricing FAQ

What is a Productivity Endpoint, and how is it licensed?
What is a Productivity Endpoint, and how is it licensed?

See Uptycs in action

Find and remove critical risks in your modern attack surface - cloud, containers, and endpoints - all from a single UI and data model. Let our team of experts show you how.

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