Case Study: Daimler reduces risk and improves security operations with Recorded Future

Daimler leverages threat intelligence to reduce risk and improve security operations

Daimler, a global automotive giant with 290,000 employees and operations in nearly every nation, needed better contextualized threat intelligence to help distributed security teams make faster, risk‑based decisions. Terence Lau, general manager of Daimler’s APAC Cybersecurity Hub, turned to Recorded Future and its Intelligence Platform — including threat, brand, SecOps and vulnerability intelligence with natural language processing and Splunk integration — because previous intelligence lacked the context and multilingual coverage Daimler required.

Recorded Future delivered integrated, contextual threat intelligence, shared raw and finished intelligence, rapid onboarding, and APIs that fed Daimler’s existing security stack and Splunk environment. As a result, Recorded Future enabled Daimler to reduce false positives, shift to proactive, intelligence‑led threat hunting using Recorded Future’s hunting packages, shorten dwell time of advanced threats, and continuously monitor third‑party cyber risk, improving overall security operations and decision‑making.

Daimler

Terence Lau

Leads Cybersecurity