T-Mobile: Cutting the Cord on Subjective Risk Scores
“Our goal was to bring greater precision and business context to how we evaluate risk. We needed a platform that could quantify risk, automate assessments, and clearly show us the highest impact scenarios so that we could prioritize remediation and better justify our investment strategy. SAFE is the key to making that critical business alignment.”
Vikas Nijhawan
Industry
Telecommunications
Geography
USA
Size & Revenue
70,000+ Employees
75%
Reduction in Reporting Time
Scaling Cyber Risk Management Across Over 1 Million Digital Assets
As T-Mobile continues to build out its network and expand business across the U.S., the external threat environment continues to escalate, demanding a more precise and data-driven approach to cyber risk quantification.
T-Mobile’s best-in-class cybersecurity team looks for tools that can meet the modern, large-scale needs of its business and better monitor its growing digital footprint and vendor ecosystem. By working with SAFE to quantify cyber risk through financial metrics, T-Mobile further automated its processes, implemented new integrations to monitor more than 1 million digital assets, and tightened its loss event controls.
Their successful, data-backed approach is another example of how large organizations can implement financial modeling with the SAFE One platform to make more strategic investment decisions.
“We needed a platform that could quantify risk, automate assessments, and clearly show us the highest impact scenarios so that we could prioritize remediation and better justify our investment strategy”
Vikas Nijhawan Director, Cybersecurity
The Moment of Truth
When a new version of the NIST Cybersecurity Framework was released, T-Mobile used the SAFE One platform to rapidly update existing control documentation. Using SAFE One’s integrations that provided continuous data, the team was able to rapidly assess controls and prioritize remediation in just a week — a 75% reduction in reporting time.