Upstream Security provides a robust cybersecurity platform tailored for the automotive industry, addressing crucial security needs for connected vehicles.

| Product | Mindshare (%) |
|---|---|
| Upstream Security | 16.1% |
| PlaxidityX DevSecOps Platform | 22.0% |
| ADAS Platform | 18.8% |
| Other | 43.099999999999994% |
Upstream Security focuses on enhancing vehicle cybersecurity by utilizing a cloud-based platform that offers comprehensive protection for connected vehicles. By integrating data from multiple sources and delivering advanced anomaly detection, it enables automotive companies to safeguard their vehicles against cyber threats effectively.
What are the key features of Upstream Security?The platform is crucial in automotive sectors such as fleet management and OEMs, where securing connected vehicle ecosystems is of paramount importance. With industry-specific features, Upstream Security ensures that companies can implement effective security measures in their operations.
| Author info | Rating | Review Summary |
|---|---|---|
| Member Of Leadership Advisory Council at a tech company with 10,001+ employees | 4.5 | We implemented Upstream Security for connected car cybersecurity, achieving real-time threat detection, improved fleet visibility, and compliance. Its agentless, AI/ML platform delivered significant ROI and reduced business risks, despite a challenging initial setup. We rate it highly. |
| Security Professional at CSX | 3.5 | I use Upstream Security to protect our truck fleet's connected devices, significantly reducing cyber attacks and manual intervention. While appreciating its stability and support, I seek expanded GPS coverage and better training resources for new features. |
| Sr. Security Consultant at a tech vendor with 10,001+ employees | 4.5 | I find Upstream Security an excellent automotive-focused XDR for connected vehicles, reducing cyber risks and costs. Its agentless monitoring is valuable. My reservations are its specialized nature, limiting general IT use, and reliance on high data quality. |