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Securing the Future of Mobility
Addressing Cybersecurity Challenges in an Increasingly Digitalized Automotive Landscape.
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The rapid expansion of vehicle connectivity presents both immense opportunities and critical vulnerabilities. With an anticipated 86% of vehicles connected by 2025, cyber threats loom larger than ever. As regulatory requirements tighten—exemplified by ISO 21434 and UNECE WP.29—automotive organizations must proactively address cybersecurity management system requirements to ensure OEMs and suppliers maintain stringent security controls.
Simultaneously, shifting consumer preferences and continuous software evolution drive a growing demand for robust cybersecurity measures. From cyber threat analysis to continuous monitoring and secure software updates, the automotive industry must adopt holistic solutions that integrate security at every phase of development and deployment.
Business Challenge
Newer connected vehicle regulations mandate that all components be secured against a potential cyber threat. As a result, all OEMs have a certified cybersecurity management system to ensure that all vehicles are designed to be secure from component (ISO 21434) to vehicle level (WP.29). Additionally, emphasis is now being placed on ensuring the security of the automotive software through cyber threat analysis, incident management, secure software updates, and continuous monitoring. Establishing a certified cybersecurity management system (CMS) in accordance with UNECE WP.29 regulations R155 and 156 and ensuring process compliance and ISO 21434 certification for secure development are the primary drivers of process and regulatory compliance for automotive cybersecurity.
Here’s How We Help
End-to-End Cybersecurity
- Integration Deploy secure software updates and proactive incident management across the entire connected vehicle lifecycle.
- Implement a certified cybersecurity management system (CMS) aligned with UNECE WP.29 to ensure every component meets regulatory standards.
Threat Analysis & Vulnerability Assessment
- Conduct comprehensive threat analysis from the earliest stages of design to mitigate risks effectively.
- Apply advanced Machine Learning (ML) and Artificial Intelligence (AI) techniques for ongoing security data analytics.
Regulatory & Process Compliance
- Achieve ISO 21434 compliance seamlessly, speeding up the time to market while ensuring rigorous security controls.
- Maintain organizational-level certifications with robust processes that adapt to evolving regulations.
Solution Framework
Our Automotive Cybersecurity Service Framework integrates end-to-end security processes—from initial risk assessment and software development to continuous monitoring and incident response. This circular model ensures that every stage of vehicle production meets ISO 21434 and UNECE WP.29 standards, aligning advanced threat detection with strategic response protocols to keep automotive ecosystems secure throughout their lifecycle.
Holistic Compliance and Certification
Our compliance-first approach ensures swift adherence to ISO 21434, UNECE WP.29, and other emerging standards. From establishing certified processes to final validation, we streamline documentation and testing protocols, helping OEMs and suppliers rapidly achieve and maintain cybersecurity certifications without compromising on quality or market timelines
Data Analytics and Automated Testing
Harnessing our expertise in AI and ML, we develop automated test benches capable of swiftly identifying vulnerabilities. This data-driven model pinpoints weaknesses in real time, significantly reducing manual effort. Organizations gain heightened visibility into software performance, facilitating continuous cyber threat analysis and quick adoption of security patches and updates.
Strategic Partnerships and Proprietary IP
By collaborating with specialized security providers such as Irdeto and SBD Automotive, we integrate cutting-edge solutions into our Tata Elxsi AUTOSAR Stack. This IP-enabled framework boasts dedicated cybersecurity modules, offering a proactive shield against complex cyber threats while ensuring seamless interoperability across various automotive software ecosystems.
Why Tata Elxsi?
- Rapid ISO 21434 organizational-level compliance achieved within months of specification release.
- Proven cybersecurity management system tailored to evolving regulations and industry standards.
- Advanced AI and ML capabilities for security analytics and automated vulnerability detection.
- End-to-end service offerings, from conceptual design to continuous monitoring and response.
- Close partnerships with leading automotive cybersecurity providers for specialized threat countermeasures.
Information Hub
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How do new regulations like ISO 21434 and UNECE WP.29 impact OEMs?
These regulations introduce stringent guidelines to ensure robust automotive cybersecurity. ISO 21434 details cybersecurity standards at the component level, while UNECE WP.29 addresses vehicle-level compliance. OEMs must now prove they have a certified cybersecurity management system, track vulnerabilities diligently, and implement secure development processes. This ensures that connected vehicles remain protected against evolving cyber threats throughout their lifecycle.
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What are the main threats to connected vehicle ecosystems?
As vehicles become more reliant on software, they become prime targets for cybercriminals. Common threats include unauthorized data access, malware or ransomware injections, and remote takeover of vehicle functions. Additional risks stem from supply chain vulnerabilities, where compromised components can propagate security flaws. Continuous testing, AI-driven threat analysis, and real-time updates help mitigate these threats effectively.
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Is achieving ISO 21434 certification a one-time effort?
No. ISO 21434 compliance is an ongoing process. While certification confirms your organization meets specific cybersecurity standards, sustaining compliance demands continuous monitoring, regular risk assessments, and updates based on new cyber threats or regulatory changes. A proactive, process-driven approach is essential to maintain a robust automotive cybersecurity posture over time.
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How can AI and Machine Learning improve automotive cybersecurity?
AI and ML excel at processing large data sets, identifying patterns, and detecting anomalies in real time. In the automotive realm, these technologies can swiftly detect emerging threats, speed up vulnerability scans, and trigger automated incident responses. By learning from past breaches and user behaviors, ML-driven models can evolve to stay ahead of sophisticated cyberattacks.
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How can organizations stay ahead of constantly evolving cyber threats in the automotive space?
Proactive strategies are vital. Organizations should invest in continuous vulnerability assessments, threat intelligence, and incident management frameworks. Leveraging AI analytics, maintaining comprehensive security logs, and fostering partnerships with specialized cybersecurity providers also play a crucial role. Regular training for staff, transparent communication channels across teams, and a compliance-first mindset further bolster resilience against evolving threats.
