Cybersecurity

About Genuine Parts Company:

  • Established in 1928 and headquartered in Atlanta, Georgia, U.S.
  • Operates 10,000+ locations spanning 17 countries across North America, Europe and Australasia
  • Has more than 65,000 employees

Genuine Parts Company (GPC) is a leading global service provider of automotive and industrial replacement parts and value-added solutions. With critical business assets around the world and millions of PII records in scope, GPC needed more than a risk dashboard — they needed to translate cyber exposure into the financial terms their board and business leaders could act on.

CGS CyberDefense partnered with Dataminr for Cyber Defense to deploy Continuous Control Monitoring with Risk Quantification (CCM w/ RQ), the capability powering Dataminr’s Predictive Threat Exposure Management (PTEM) solution. The goal: move GPC from qualitative risk ratings to financially grounded risk decisions, sharpen investment prioritization, and give security a language the rest of the business actually speaks.

The Challenge

GPC faced several common challenges in improving their cyber risk management program, including:

  • Prioritizing risks and investments across new and existing business-critical applications and data assets
  • Security and business leaders struggled to understand which projects offered the best ROI
  • Ensuring cyber risk is adequately communicated to, and understood, by leadership and the board when defining and allocating cybersecurity investments 

The Solution

Dataminr’s Continuous Control Monitoring with Risk Quantification (CCM w/ RQ) capability enabled GPC to move from qualitative to quantitative risk posture for their most critical assets with minimal disruption to existing workflows. GPC was able to determine the maximum single loss event (SLE) and annual loss exposure (ALE) for a business-critical application protecting millions of PII records, and calculate the probability of a successful attack. Critically, the output went beyond a single risk number: GPC could see exactly where losses would be realized, such as lawsuit settlements, remediation costs, and legal fees.

As GPC expanded their cyber risk quantification program, they integrated vulnerability scan data directly into CCM w/ RQ. This gave their team a fundamentally different lens on exposure. Instead of a CVE list sorted by CVSS severity score, they had a list ranked by financial impact to GPC’s specific environment, controls, and business context. Which vulnerabilities were genuinely material became the question, replacing “which ones score highest.”

GPC also extended CCM w/ RQ into their third-party risk management process. Through Dataminr for Cyber Defense’s integration with Security Scorecard, GPC can now assess critical vendors through a data-driven, financially grounded lens, replacing the standard qualitative framework still used across most enterprises.

The result: GPC’s security team can now justify budget allocations, prioritize remediation, and communicate cyber risk to leadership and the board, not with dashboards, but with financial figures that speak the language of the business.

“It changes the narrative of security saying no to being an enabler. Now, we’re positively engaging with the business and making sure that we’re all working together,” said a GPC security leader.

The Outcome

For GPC, the shift wasn’t just technical; it was cultural. Security moved from saying no to operating as an enabler, engaging the business with financial evidence rather than subjective opinion. With Dataminr’s CCM w/ RQ, GPC now has the clarity to defend every investment decision, prioritize what actually moves the needle on risk reduction, and communicate to leadership and the board with confidence. The result is a more resilient, financially grounded cybersecurity posture, protecting critical assets and enabling the business to move forward.

Dataminr’s Continuous Control Monitoring with Risk Quantification Capability

Validate control effectiveness with live telemetry and prioritize remediations in dollars, not assumptions or annual snapshots.

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August 26, 2025
  • Cybersecurity
  • Cyber Risk
  • Case Study