How ‘Wikipedia of Cyber’ Helps SAP Make Sense of Threat Data

Why It Matters

The partnership gives SAP a cost‑effective, high‑resolution view of its attack surface, enabling faster detection of sophisticated threats and strengthening its position as a security‑focused cloud provider.

Key Takeaways

• SAP processes over 150 TB monthly security data.
• Splunk costs and capacity limited SAP's visibility.
• Uptycs' Juno AI provides real‑time, verifiable insights.
• Granular threat hunting reduces ransomware risk.
• Hybrid‑cloud approach cuts analysis expenses dramatically.

Pulse Analysis

Enterprise security teams are increasingly overwhelmed by the sheer volume of telemetry generated in modern cloud environments. SAP, supporting thousands of global customers, regularly ingests more than 150 TB of security data each month. Traditional SIEM solutions like Splunk struggled to keep pace, inflating network usage and operational spend while leaving large swaths of data unanalyzed. This visibility gap hampers rapid response across identity, detection, protection, and recovery layers—critical components for meeting stringent compliance and sovereignty mandates.

Uptycs’ Juno AI platform addresses these challenges by integrating directly with SAP’s hyperscale providers and a centralized Databricks data lake. The AI‑driven analyst automates low‑and‑slow activity detection, correlates cross‑cloud events, and produces verifiable findings complete with source citations. Security analysts can pose ad‑hoc queries—such as tracing role assumptions or permission changes—and receive actionable evidence within seconds, a task that previously required hours or weeks of manual investigation. By offloading grunt work to Juno, SAP’s security team can focus on deep threat hunting and strategic risk assessments, dramatically reducing false positives and operational costs.

The broader implication for the industry is a shift toward AI‑augmented, cloud‑native security architectures that prioritize strategic insight over sheer alert volume. Verifiable AI outputs build confidence among security professionals, encouraging adoption beyond niche use cases. As enterprises seek to protect increasingly complex, multi‑cloud footprints, solutions that combine real‑time analytics with human oversight—like Juno—are poised to become a new standard, driving both cost efficiencies and stronger security postures across the market.