Intersections of Collaboration: Creating a More Secure Ecosystem for Automated Vehicles

This is the third in a 3-part series of blogs on trends in next-generation automotive safety and security. In part one, I wrote about the 15 Hackable Points in Next-Generation Vehicles. In part two, I examined What’s Next in Automotive Security. To learn more, check out our eBook “The Car of the Future.”

In my previous posts, I wrote about how we can enable stronger security through a comprehensive car-to-cloud approach, and what’s next in automotive security. However, modern vehicle security goes beyond the door lock. That’s why Intel takes an approach that starts well in advance of product design. Here are six ways Intel is building security technologies into every point across the new transportation ecosystem.


An automotive sketch.

Designing for Rigorous Life Cycles

Like the systems they target, hackers’ techniques evolve over time. Intel’s design cycle includes ongoing internal and external security audits to evaluate and swiftly respond to new potential threats. In addition, to help minimize the attack surface of tomorrow’s connected and automated vehicles, ECU consolidation and virtualization shows significant architectural benefits as well as cost savings to the automaker.


An illustration showing 15 hackable points on an automated vehicle.

An Expanded and Hardened Automotive Security Portfolio

By adding focused expertise, Intel is accelerating our own capabilities for development of functionally safety products. Recent acquisitions of YOGITECH and Arynga software are reinforcing our already rigorous manufacturing methodologies and quality systems.

Developing a 5G Network

Get ready for breakneck speeds. 5G will deliver incredibly high bandwidth and low latency, opening the doors for fast and secure vehicle-to-everything (V2X) applications, OTA updates, and entertainment services. Intel is paving a path forward with expertise in network monitoring and enforcement to improve the authenticity and integrity of data transmitted across 5G networks. Moreover, by collaborating with leaders in the telecom industry, Intel is ensuring that secure connectivity solutions for the automotive industry will be ready when 5G arrives.


An image of a car dashboard with a touch screen.

Building a Heterogeneous Architecture

Rather than relying on a single compute architecture to handle everything, Intel- based platforms harness a flexible architecture of CPUs and integrated accelerators. With multiple domains of overlapping compute and sensor fusion, workloads can be distributed with greater safety and security. These designs are ideal for level 3, 4, and 5 automated vehicles.


Truck wheels roll on, across an endless desert, sensing the future.

Tapping Into a Trusted Analytics Platform

It’s easy to collect data. The challenge is extracting value from it. Intel developed the Trusted Analytics Platform (TAP), an open source software optimized for performance and security, to help developers securely connect big data with applications. This simplifies solution development so that transportation providers can derive value from data faster.


Sensors awaken, a bright car-to-cloud future, autonomous now.

Nurturing Ecosystem Collaboration

Intel is investing in partnerships with hardware vendors, software vendors, and integrators to develop secure solutions for the automotive industry. To accelerate collaboration, in 2016 Intel announced a USD 250 million Intel Capital investment fund for the automotive ecosystem. In addition, Intel is a founding member of the Future of Automotive Security Technology Research (FASTR) industry consortium, dedicated to being the security trusted advisor to the automotive ecosystem – .

Learn more about the road ahead for automated vehicles by visiting To stay informed about Intel IoT developments, subscribe to our RSS feed for email notifications of blog updates, or visit and Twitter.

Craig Hurst

About Craig Hurst

Craig Hurst is the Director of Strategic Planning and Product Management within Intel’s Transportation Solutions Division. He is responsible for transportation HW and SW roadmaps, ecosystem strategies, GTM plans and overall platform success across the connected transportation and logistics, software defined cockpit, and Advanced Driver Assistance Systems (ADAS) and Autonomous Driving segments. Craig’s team is responsible for both the long term vision and strategy that maximize market value for safer and smarter driving as well as the near term product management and delivery of products that thrill and excite customers. Craig has held various director roles for strategy, marketing, and product management at Intel in divisions ranging from SW developer products, healthcare devices, and networking. His passion is to inspire innovation for new products, segments, and business models. In his ~20 years at Intel, Craig has helped deliver dozens of new products to market, many winning industry awards (including Intel’s first direct to consumer retail product, the world’s first UPnP certified residential gateway, Intel’s first FDA approved product, and Intel® RealSense™ Technology). When not at work, Craig enjoys fishing, waterskiing, travel, and perfecting a new BBQ or kitchen recipe. Craig holds a BSEE from Seattle University, and Certificate of Business Excellence from U.C. Berkeley.

One Response to Intersections of Collaboration: Creating a More Secure Ecosystem for Automated Vehicles

  1. Subho says:

    Great Article! i really appreciate this.You are so awesome! This issue has and still is so important and you have addressed it so Informative.

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