Top 25 Worst Motor Vehicle Manufacturing Companies

Motor Vehicle Manufacturing Cybersecurity Risk Assessment - Lowest-Scoring Companies in 2026

Out of 1,052 motor vehicle manufacturing companies monitored by Rankiteo, this page highlights the Bottom 25 organizations with the weakest cybersecurity posture. These rankings are based on our proprietary Cyber Resilience Score, which integrates time-decayed incident exposure, sector-sensitive impact analysis, and market-cap-aware baseline and dampening to produce a single, interpretable score between 100 and 1,000.

Companies at the bottom of this ranking carry the heaviest accumulated cyber incident burden - including recent or severe ransomware attacks, data breaches with significant financial losses or records exposed, and repeated disclosure events. Their scores are further influenced by sector-specific impact multipliers that amplify penalties in high-criticality industries. Understanding where these risk concentrations exist is essential for supply chain risk management, regulatory compliance, and competitive benchmarking within the motor vehicle manufacturing industry.

The current average score for the most renowned Motor Vehicle Manufacturing companies is 747.8 out of 1,000. Companies shown below score significantly lower than this average, falling far behind an industry that generally maintains reasonable security standards.

Risk Highlights

How Cyber Risk Scores Are Calculated

Rankiteo's Cyber Resilience Score produces a single value between 100 and 1,000 for each organization, where higher scores indicate lower estimated cyber risk. The framework integrates three principal components that together balance evidence, context, and comparability across industries and company sizes. Learn more in our AI Cyber Score methodology.

Core Scoring Components

• Time-Decayed Incident Exposure (P_inc): Every confirmed cyber incident - ransomware, data breach, cyber attack, or disclosed vulnerability - contributes a penalty weighted by recency and scaled by quantitative severity (financial loss and records exposed). Category-specific base weights reflect real-world impact: ransomware (100 pts), data breach (60 pts), cyber attack (20 pts), and vulnerability (5 pts). Each category decays at a different rate - roughly 3 years for ransomware and data breaches, 2 years for cyber attacks, and 18 months for vulnerabilities - so older, lower-impact events fade while recent, severe incidents retain lasting influence.
• Sector-Sensitive Impact Multipliers: Identical incidents carry different weight depending on the industry. Each NAICS sector receives multipliers based on four dimensions: safety-of-life risk, service continuity, regulatory/legal exposure, and data sensitivity. A ransomware attack on a hospital or utility carries a higher penalty than the same attack on a retail company, reflecting the greater real-world consequences.
• Market-Cap Baseline & Dampening: A logistic baseline between 750 and 850 anchors each company's starting score based on organizational size. A continuous dampening factor attenuates incident penalties for very large firms, recognizing higher disclosure rates and greater absorption capacity - without masking genuinely severe events.
• Industry Adjustment (A_ind): A bounded additive term derived from NAICS-level historical incident-rate z-scores. This rewards companies in historically resilient sectors, but only when they maintain a clean or near-clean record. Once material incidents occur, firm-specific performance dominates.
• Quantitative Severity Scaling: When financial loss or records-exposed data is available, incident penalties are amplified proportionally - scaled relative to market capitalization so the same dollar loss has a larger effect on a smaller firm. The combined severity multiplier caps at 3×.
• Ransomware Recurrence Escalation: Repeated ransomware events trigger a bounded recurrence multiplier (up to 1.5×), reflecting elevated systemic risk from persistent adversarial footholds or remediation failures.

Understanding the Risk Bands

Each score maps to a letter-grade band. Companies appearing in this lowest-scoring ranking typically fall in the bottom bands:

• Aaa (900–1,000): Exceptional cyber resilience - very few companies in a worst list reach this level.
• Aa (800–899): Very strong security posture with minimal weaknesses.
• A (700–799): Strong practices with some areas for improvement.
• Baa (600–699): Adequate protection but notable security configuration gaps exist.
• Ba (500–599): Below average - multiple risk areas require attention.
• B (400–499): Weak security with significant exposure across categories.
• Caa (300–399): Very weak with a high probability of exploitable vulnerabilities.
• Ca (200–299): Critically poor with severe, widespread security gaps.
• C (0–199): Extreme risk - immediate remediation is needed across all dimensions.

Why Monitoring Low-Scoring Motor Vehicle Manufacturing Companies Matters

Cybersecurity risk doesn't exist in isolation. If your organization works with, purchases from, or shares data with companies in the motor vehicle manufacturing sector, their security weaknesses become your risk. Supply chain attacks - where adversaries compromise a less-secure vendor to reach a larger target - have become one of the most common and damaging attack vectors in recent years.

By identifying the lowest-scoring motor vehicle manufacturing companies, procurement teams, risk managers, CISOs, and compliance officers can:

• Flag third-party vendors that may introduce unacceptable risk into the supply chain.
• Require cybersecurity improvement plans as part of vendor management and contract renewal processes.
• Benchmark their own organization against industry peers and understand where the floor lies.
• Satisfy regulatory due-diligence requirements such as those mandated by NIS2, DORA, SOC 2, and ISO 27001 supply chain provisions.

Rankiteo continuously monitors 1,052 motor vehicle manufacturing companies keeping these rankings up to date so you always have an accurate, current picture of the sector's risk landscape.

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