Managing cyber risk at T-Mobile’s scale requires a precise, data-driven approach to quantification. Their cybersecurity team needed a solution to keep pace with this complexity, helping measure risk while maintaining visibility.
time spent on
cyber risk
reporting
monitored continuously
across enterprise
to assess and prioritize remediation
Reduction in Assessment & Reporting Time
Faster risk burndown with same budget
Saved on Cyber Insurance Premiums
Gain continuous visibility into internal and external risks and translate cyber signals into clear financial impact
Focus on critical risks first. Prioritize remediation and investments in security initiatives based on business impact
Scale cyber risk management at the speed of the business without adding headcount or operational overhead
“SAFE offers a comprehensive cyber risk management platform that is built on the full set of FAIR standards.”The Forrester Wave™: Cyber Risk Quantification Solutions, Q2 2025
Loss Magnitude and Annualized Loss Exposure numbers based on transparent, defensible data powered by FAIR-MAM. Stay audit ready and SEC compliant with real-time materiality impact analysis
VIEW REPORTContinuous control monitoring based on contextual information across coverage, capability, and reliability. Automate your control assessments with real-time data
VIEW REPORT“SAFE's use of AI isn’t just a gimmick like many security vendors. Their use of generative AI, deep learning, and classic machine learning techniques is a core part of the platform, enabling us to deeply understand, quantify, and rapidly reduce our cyber risk across our environment”
“Partnering with SAFE, I am excited to see how the platform is tackling the complexities we deal with as risk professionals. The SAFE platform transforms how we measure, prioritize, and communicate risk. We now have better tooling that enables us to see a continuous picture of our risk landscape to support data-driven decision making”
Reduction in reporting time
Booz Allen’s strategic advisory expertise, paired with SAFEOne’s cutting-edge AI-driven CRQM technology, empowers our clients to tackle cybersecurity and risk management challenges with unparalleled precision and agility. As a result, leveraging the SAFEOne platform we have been able to deliver our Integrated Risk Management Services much more efficiently, expeditiously, and with higher fidelity outputs for our clients
In The Forrester WaveTM Cyber Risk Quantification Solutions, Q2 2025
Cyber Risk Quantification (CRQ) is the process of measuring cybersecurity risk in financial terms. It helps organizations translate technical security signals such as vulnerabilities, threat intelligence, and exposure, into potential financial loss, enabling better business and investment decisions.
Cyber risk quantification helps security leaders communicate risk in business language. By expressing cyber risk as potential financial impact, organizations can prioritize security investments, align with business priorities, and support board-level decision-making.
SAFE quantifies cyber risk by integrating with your entire technology stack through 200+ integrations. It ingests security telemetry, threat intelligence, asset context, and business exposure while parsing compliance documents to map controls by coverage, capability, and reliability. SAFE then models the potential financial impact of cyber events, continuously calculating risk scenarios and translating them into clear monetary loss estimates. The platform is purpose-built on open FAIR standards that is the global standard for Cyber Risk Quantification.
SAFE integrates with 200+ security and business systems, including vulnerability scanners, cloud platforms, endpoint tools, identity systems, and third-party risk data. SAFE also ingests data from security questionnaires and compliance reports such as SOC 2 to map control effectiveness across coverage, capability, and reliability. SAFE’s Threat Research team continuously analyzes threat events from multiple threat intelligence providers, tracking ongoing threat actor campaigns and security incidents. Each event is enriched with detailed context, including the initial attack method, attack outcome, targeted organization or industry/geography, vulnerabilities and tools used, and the types of data compromised. These enriched insights continuously update SAFE’s threat engine, which powers cyber risk quantification. On average, SAFE reviews and analyzes approximately 600 threat events every day. These signals are normalized and analyzed to produce financial cyber risk models.
SAFE translates complex security data into clear financial risk metrics and executive-ready dashboards, helping CISOs communicate cyber risk in business terms. It enables operational risk prioritization by identifying which vulnerabilities and exposures drive the most financial risk, while also supporting strategic investment planning by modeling how different security initiatives reduce risk over time. SAFE also helps streamline regulatory and board reporting by providing consistent, auditable cyber risk insights aligned with business and compliance requirements.
Yes. SAFE enables risk-based prioritization by identifying which vulnerabilities, exposures, or security initiatives will reduce the most financial risk. This helps organizations allocate resources where they will deliver the greatest risk reduction.
SAFE continuously ingests and analyzes security data across complex environments—including cloud, on-prem, SaaS, and third-party ecosystems—to provide ongoing financial risk insights without increasing operational overhead.
Learn how SAFE CRQ quantifies cyber risk in financial terms, prioritizes what matters, drives risk reduction, and enables strategic planning
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See why SAFE leads in CRQ, recognized for its vision, AI innovation, transparent modeling, and strong customer experience.
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Discover how CISOs gain a structured framework for prioritizing limited resources against the risks that matter most.
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