Uptycs announced a strategic partnership with SAP to deploy verifiable AI analysts that augment enterprise security teams. These "virtual employees" augment SOC teams, enabling analysts to concentrate on advanced threat hunting and deeper attack path analysis while improving overall security coverage and resilience. Uptycs' AI analyst platform, Juno, was originally built to hunt threats across cloud-native and on-premise environments. In collaboration with SAP, early adopters are discovering its value as a strategic consultant, delivering actionable insights that go beyond standard threat detection.
The result: McKinsey-level strategic risk reports produced in minutes, not weeks, with every deployment generating hyperlinked citations tied to each organization's private telemetry to ensure insights are both verifiable and actionable. As a strategic partner, SAP brings significant scale and reach: it employs more than 110,000 people across 150+ countries, generates over ?34,000 million in annual revenue (Fiscal year 2024), and delivers cloud services, AI, ERP, and enterprise applications that power mission-critical systems for hundreds of thousands of customers worldwide, while continuing its shift toward a cloud-first subscription model. Amid industry debate over agentic employees following the OpenClaw moment, which demonstrated both the rapid adoption of agentic AI, reportedly outpacing early ChatGPT growth, and the risks of autonomous agents bypassing traditional security controls, Juno's "Glass Box" architecture enables security teams to experiment and innovate safely.
With a unified ontology of 150,000 telemetry columns - a structured map that explains what everything means and how it relates to everything else - Juno provides a level of verifiable accuracy that allows security leads to act as business strategists rather than technical responders. Across the automotive and financial sectors, teams are using Juno to perform forensic investigations that previously required senior architects. By asking simple and clear questions, teams receive diagnoses verified against external references like CVE databases, ensuring AI guidance is never hallucinated.
