SAP and cloud-native cyber threat hunter, Uptycs, have today announced their strategic partnership to integrate AI-driven cyber threat analysis into enterprise security operations.
By implementing its AI platform Juno, Uptycs will provide virtual security analysis by detecting and identifying threats across cloud and on-premise systems, whilst generating strategic insights for decision-makers.
This strategy aims to address the risks associated with autonomous AI agents in security, ensuring teams receive transparency and control during AI experimentation and that analysts receive a comprehensive view of threats.
Roland Costea, CISO and Executive Vice President, Enterprise Cloud Services at SAP, argues that modern cloud security now requires tools that go beyond threat detection to provide actionable, verifiable insights that help teams make strategic decisions and improve overall enterprise security operations.
“Security in today’s cloud‑centric world demands tools that not only detect threats, but elevate strategic decision‑making,” he said.
“Our partnership with Uptycs reflects a shared commitment to verifiable, intelligent cybersecurity solutions that empower teams to stay ahead of risk while transforming how enterprise security operates.”
The Rise of AI-Driven Attacks and Overstretched Security Teams
With the increased uptake of AI-driven threats in the past 12 months, cyber-attackers are using automation and AI to scale phishing, exploit discovery, and lateral movement.
Consequently, traditional security agents struggle to keep up with the speed and volume, leaving organizations vulnerable to faster, more complex attacks and increasing the risk of data breaches and operational disruption.
Security teams and analysts are also spending an increasing amount of time triaging alerts and producing reports to ensure the safety levels of their systems, limiting the ability to focus on complex investigations and proactive threat hunting.
AI hallucination can also cause further lack of trust in cybersecurity settings, as decisions must be evidence-based and defensible.
The convergence of automated AI-driven attacks, overwhelmed security teams, and unreliable AI outputs creates a critical gap in enterprise cybersecurity.
Organizations today are facing faster, more sophisticated threats while their human analysts are overstretched, reducing their capacity to defend strategically.
Glass Box Architecture and Verifiable AI Analysis
SAP’s partnership with Uptycs will combine its AI analyst platform, Juno, with SAP’s enterprise cloud infrastructure and customer base, as well as internal security leadership and operational validation.
Operating with a “Glass Box” architecture, Juno can link outputs to the specific telemetry data, support findings backed by citations, including CVE bases, and trace every insight back to the underlying evidence.
