Why do connected vehicles create higher security risk than traditional cars?

Connected vehicles expand the attack surface because they exchange data with infrastructure, other vehicles, devices, and services in real time. That connectivity can influence braking, routing, payments, and access, so a failure is no longer just an IT issue. If identity, integrity, or trust is weak, attackers can abuse the vehicle as a digital entry point with physical consequences.

Why Connected Cars Are a Bigger Target Than Standalone Vehicles

Connected vehicles are riskier than traditional cars because they combine embedded safety systems with networked software, external services, and continuously changing trust relationships. That creates more ways for a failure to move from inconvenience into safety impact. A vehicle is no longer only a mechanical asset with isolated electronics; it is a connected computing platform that depends on software integrity, communications security, and identity assurance across multiple domains. The same connectivity that enables navigation, telemetry, remote diagnostics, and over-the-air updates also widens the number of points where misuse or compromise can occur. For a broad governance lens, the NIST Cybersecurity Framework 2.0 is useful because it frames connected-vehicle security as a lifecycle issue involving governance, protection, detection, response, and recovery rather than a single technical control. In practice, many security teams encounter the true risk only after a supplier, app integration, or remote service has already become part of the vehicle trust chain.

How the Risk Changes Once the Car Becomes a Network Node

The security model changes because the vehicle now exchanges commands, telemetry, and updates with external systems that may sit outside the manufacturer’s direct control. That means the security outcome depends on the weakest link in the chain, not just the vehicle itself. If a mobile app, backend API, fleet platform, or roadside service is poorly protected, the vehicle may inherit that weakness through authentication, session handling, update paths, or data exchange.

Connected vehicles also blur the boundary between cyber compromise and physical effect. A defect that would be minor in a desktop environment can matter more when the software supports braking assistance, door access, charging, location services, or fleet operations. The practical issue is not only whether an attacker can reach a system, but whether they can alter a trusted function that drivers, operators, or other vehicles rely on. That is why security reviews need to trace the full dependency chain: onboard software, telecom links, cloud services, app ecosystems, and maintenance interfaces.

Connectivity expands exposure beyond the car itself to vendors, apps, and infrastructure.
Trust failures matter more because commands and data can affect physical behaviour.
Update mechanisms are high-value targets because they can distribute compromise at scale.
Fleet environments multiply the impact because one weakness may affect many vehicles.

One useful way to think about the problem is that connected vehicles do not simply have more software; they have more trust boundaries, and each boundary must be defended as if it were part of the safety system. When those boundaries are poorly defined, the guidance breaks down because the vehicle can no longer distinguish legitimate control traffic from abusive access or malformed data.

Where the Comparison to Traditional Cars Breaks Down

Tighter connectivity often improves convenience and maintainability, but it also increases dependence on identity, update discipline, and vendor resilience, so organisations must balance operational agility against attack surface growth. The difference is especially sharp when features are designed for constant remote access, because “always reachable” can become “always exposed” if authentication or segmentation is weak.

There is also a genuine tradeoff in visibility. Connected systems can produce more telemetry, which helps defenders, but only if the data is reliable and the monitoring scope covers the vehicle, the backend, and the interfaces between them. Industry consensus is strong that secure-by-design engineering matters here, but there is less consensus on which layer should absorb the most responsibility in mixed ecosystems with manufacturers, telecom providers, app developers, and fleet operators. That uncertainty itself is a governance risk, because unclear ownership often leads to gaps in patching, incident response, and access control.

Traditional cars can still fail through mechanical, manufacturing, or embedded-electronics issues, but connected vehicles add a second risk class: remote influence over functions that were once local only. That matters most where the organisation assumes a car behaves like an isolated device while the architecture actually behaves like a distributed service.

Risk and Threat Considerations

Connected vehicles create material exposure because they expose safety-relevant functions through networked services, credentials, and third-party dependencies. The risk is not limited to one compromised component; it can propagate through APIs, mobile apps, telematics, update channels, or fleet tooling into functions that affect movement, access, or operational continuity.

Failure mechanism: Attackers and abusers typically exploit weak authentication, insecure update paths, overly permissive service interfaces, or trust placed in external systems that were never designed with vehicle-grade assurance. Once a trusted link is abused, the compromise can move from account-level access to vehicle-level impact without needing physical proximity.

Impact: The consequence can include unauthorised access, service disruption, privacy loss, routing manipulation, or interference with vehicle functions that affect driver safety and fleet availability. At scale, the same weakness can create correlated failure across many vehicles or entire service populations.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.

Framework	Control / Reference	Relevance
NIST CSF 2.0	GV — Govern	Connected-vehicle risk is a governance and lifecycle trust-chain problem.
	PR.AC — Identity Management, Authentication, and Access Control	Remote vehicle functions depend on strong authentication and access limits.
	PR.DS — Data Security	Vehicle telemetry and commands need integrity and protection in transit.
Recommendation — Define ownership, oversight, and risk acceptance for every connected-vehicle trust boundary. Enforce strong authentication and least privilege for apps, APIs, and service access. Protect command and telemetry data so tampering is detectable and actionable.
CIS Controls v8	6 — Access Control Management	Connected-vehicle interfaces fail when remote access is over-permissioned.
Recommendation — Restrict and review access to vehicle APIs, apps, and fleet administration paths.

Practitioner Guidance

What to prioritise: Treat connected-vehicle risk as a trust-chain problem, not just an onboard software problem. The highest-value controls are usually the ones that reduce abuse of remote access, update, and integration paths because those paths can reach many vehicles at once.

What to verify: Confirm that every external dependency has a clearly owned trust boundary, an authenticated control path, and a recovery path if the service is unavailable or compromised. If the architecture cannot show who can issue commands, who can revoke them, and how malicious access is detected, the vehicle should be considered materially exposed.

What practitioners underestimate: Teams often focus on the car as the asset and miss the surrounding ecosystem that makes the car operational. In connected environments, the most important question is often not “Can the car be hacked?” but “Which upstream service would let one compromise scale across many cars?”

Practitioner takeaway: A connected vehicle becomes substantially riskier when its safety functions depend on external trust that is harder to govern than the vehicle itself.