GM Expands Super Cruise Autonomy and OnStar AI Across Vehicle Lineup

General Motors announced at its GM Forward event that it is expanding its Super Cruise hands-off, eyes-off driving technology across its entire vehicle lineup. According to Ars Technica, this expansion includes pickup trucks and crossovers, moving beyond the Escalade IQ where the feature was previously announced. The company stated it remains focused on electrification and autonomy goals despite broader industry skepticism.

How extensive is the current testing for these autonomous systems?

Sterling Anderson, GM’s head of product, stated that the company is currently testing this technology at a volume of one million miles per month. This testing occurs in both virtual simulations and real-world driving conditions. Anderson told Ars Technica that the objective extends beyond simple transportation; the goal is for vehicles to perform tasks for users independently.

What specific functions will the new OnStar AI provide?

The newly announced OnStar AI will analyze driver habits to automate convenience tasks. Anderson described a scenario where the vehicle recognizes a late work shift and prompts the driver to order takeout from a frequently visited restaurant. The car would place the pickup order automatically. The AI will also help drivers understand vehicle alerts, such as explaining the cause of a specific beep.

Why does GM believe consumers will trust these AI features?

Anderson emphasized that trust is the central factor for adoption. He suggested that consumers may view their vehicles as more trusted technology than mobile phones. According to Ars Technica, Anderson noted that people have a distinct relationship with their cars. A car suggesting a restaurant within an appropriate context might be more acceptable than a phone doing the same.

What does this mean for operational security and risk?

The expansion of autonomous and AI-driven features increases the attack surface for connected vehicles. Security teams must consider how data from vehicle sensors and user habits is processed and stored. The integration of external services, such as food ordering, introduces third-party dependencies. Organizations should assess how these features interact with existing security protocols and data privacy requirements.

Questions to ask your suppliers

Security teams should ask vendors how they isolate autonomous driving data from infotainment and AI services. Check whether suppliers have defined clear boundaries for third-party integrations like food ordering or payment systems. Determine who inside the organization is responsible for monitoring data flows between the vehicle and cloud services. Verify that vendors have incident response plans specific to autonomous features. Ensure that privacy controls are embedded by design rather than added later.

Background: Attack surface

Attack surface analysis is the process of identifying every digital interface where an attacker might interact with your systems. It goes beyond traditional vulnerability scanning to map external-facing assets, shadow IT, and exposed APIs. This method helps you prioritize risks by understanding how these interfaces connect to critical data.

Read the full guide: Attack Surface Analysis: Map Hidden Entry Points Before Exploitation

What to do and how to stay safe: General Motors

• Review vendor contracts to ensure clear definitions of data ownership for AI-generated insights and user habits.
• Monitor for unusual network traffic patterns between connected vehicles and backend services that could indicate compromise.
• Validate that third-party integrations, such as payment or ordering systems, undergo rigorous security assessments.
• Establish protocols for isolating autonomous driving systems from infotainment networks to limit lateral movement risks.

Step-by-step guide: Browser Security Settings for Small Business Teams

General security guidance from the TechSec Feed newsroom. It is not confirmed advice from the organisations named in this story.

Frequently asked questions

Which vehicles will receive the expanded Super Cruise technology?

GM stated that Super Cruise will be available on nearly every vehicle in its lineup, including pickup trucks and crossovers, not just the Escalade IQ.

How much testing is GM conducting for its autonomous systems?

According to Sterling Anderson, GM is testing its technology to the tune of one million miles a month in both virtual and real-world environments.

What is the role of the new OnStar AI?

OnStar AI will learn driver habits to automate tasks like ordering food and will help drivers understand vehicle alerts and use their vehicles more effectively.