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Is UISEE Technologies safe?

UISEE Technologies risk score

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f

66/100

overall score

Total issues found:

70
Updated on: December 29, 2025
Data we analyse
Phishing and malware
31 issues

Network security
21 issues

Email security
5 issues

Website security
13 issues
Recent critical risk issues we found
5 domains vulnerable to email spoofing
13 SSL configuration issues found
2 critical vulnerabilities found
3 high-risk vulnerabilities detected
What information we check
Software patching
Web application security
Email security
Dark web exposure
Cybersecurity Benchmark
A comparison of this company’s cybersecurity ranking with industry averages and peer organizations
Phishing and malware
81 vs. 50

Network security
88 vs. 89

Email security
0 vs. 52

Website security
58 vs. 68
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Company overview
Section 1: Company Overview
UISEE is an autonomous driving and robotics technology company focused on commercial mobility and intelligent vehicle solutions. Headquartered in China, UISEE develops hardware-software stacks for driverless shuttles, delivery robots, and fleet operations, integrating perception, planning, and cloud management. Operating at the intersection of automotive, robotics, and AI, the company handles sensitive data streams (sensor feeds, maps, telemetry, customer and operational datasets) and must satisfy both safety and data-protection requirements across partners, fleets, and regulators.

Section 2: Historical Data Breaches
As of the latest verified public records up to mid-2024, there are no widely reported, confirmed data breaches attributed to UISEE. No public regulatory fines or large-scale incident disclosures involving the company appear in major sources. That absence of public incidents is a positive indicator but should not be interpreted as proof of absence of risk: many security issues remain undisclosed, and companies in this sector frequently face targeted attempts at intellectual property theft, supply-chain compromise, or operational intrusion.

Section 3: Recent Security Breach
(omitted — no verified recent breach information available)
There are no confirmed reports of a recent security breach at UISEE in the public domain. If internal or partner reports exist, they are not publicly documented; this emphasizes the need for transparent incident reporting and clear communication channels with customers and regulators.

Section 4: Evaluation of Digital Security
Direct third‑party evaluation data for UISEE was not supplied. In lieu of company-specific metrics, the assessment below synthesizes industry risk patterns and security controls that are material to UISEE’s technology profile.

Key risk areas for autonomous mobility vendors:
- Telemetry and Sensor Data Confidentiality: Continuous high-bandwidth streams (LiDAR, camera, IMU) and high-fidelity maps are attractive targets. Unencrypted or poorly segmented telemetry channels can expose sensitive operational details and enable spoofing or tracking.
- OTA Updates and Code Integrity: Over-the-air firmware/software updates are a necessary attack surface. Weak signing, insufficient rollback protection, or poor key management can lead to remote takeover of vehicles or fleet controllers.
- Supply Chain and Third‑Party Components: Use of third-party chips, OS components, cloud services, or map providers introduces dependencies. Vulnerabilities in upstream libraries or partner systems can cascade into UISEE deployments.
- Authentication and Credential Hygiene: Industry reports note frequent credential compromises and password reuse. Poorly managed service accounts, exposed keys in repositories, or insufficient IAM controls can enable lateral movement.
- Network and TLS Configuration: Misconfigured TLS/SSL endpoints, expired certificates, or weak cipher suites undermine secure communications between edge units and cloud services.
- Insider and Operational Errors: Human errors—improper data egress, misconfigured access controls, or mishandled legal disclosures—are common vectors and can produce large-impact incidents without external attackers.
- Machine Learning Risks: Poisoning or adversarial inputs on training pipelines, model extraction, or unauthorized access to labelled datasets threaten IP and system safety.
- Incident Response and Compliance Posture: Robust logging, monitoring, and playbooks are essential; gaps here increase dwell time and amplify impact.

Recommended objective assessments
- External penetration testing and red‑team exercises covering edge devices, cloud APIs, and fleet orchestration.
- Cryptographic review of OTA update mechanisms, key lifecycle, and secure boot processes.
- Supply‑chain audits of third‑party software and hardware components.
- Credential and secret disclosure scans across public repositories and internal storage.
- Application and TLS configuration scanning (including certificate management).
- ML pipeline threat modeling and data integrity checks.
- Formal audits for applicable standards: ISO/SAE 21434 (road vehicle cybersecurity), ISO 27001, SOC 2 for cloud services, and local regulatory frameworks (e.g., China’s Cybersecurity Law/PIPL where applicable).

Conclusion: Is UISEE Safe?
UISEE has no widely disclosed breaches as of mid‑2024, but its product profile (fleeted autonomous systems, OTA updates, large telemetry volumes) places it in a high‑risk category. Immediate priorities: conduct comprehensive external penetration testing and supply‑chain audits, harden OTA and key management, enforce strong IAM and MFA, remediate certificate/TLS weaknesses, and implement continuous monitoring and incident response exercises. Adopting ISO/SAE 21434 and transparent disclosure protocols will reduce operational, financial, and reputational exposure while protecting customer privacy and intellectual property.
Details
Industries:
Artificial Intelligence
Company size:
201-500 employees
Founded:
2016
Headquarters:
朝阳区, 北京, CN

Outcome reliability

We analyze billions of signals from publicly available sources to deliver validated insights into how your company is perceived externally by threat actors. These insights help security teams respond more quickly to risks, manage zero-day incidents effectively, and reduce overall exposure.

This is an inline graph showing outcome reliability scores. The grades are as follows: F is between 0 and 70, D is between 70 and 78, C is between 79 and 85, B is between 85 and 95, and A is above 95.