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AI Trust Mark: How Samsung Is Shaping the Future of Trusted Connected Products

AI Trust Mark: How Samsung Is Shaping the Future of Trusted
Connected Products

Situation

Samsung Electronics, the global leading manufacturer of consumer electronics and home appliances, was developing an advanced remote support system for connected home appliances. The system enables authorized technicians to remotely diagnose, troubleshoot, and resolve issues, significantly improving service efficiency while reducing the need for on-site interventions. By analysing operational data, the system can detect potential issues early, including equipment malfunctions, abnormal usage patterns, and maintenance needs.

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By enabling remote diagnostics and software adjustments, the system delivers faster resolution times, lower operational costs, and improved customer experience. At the same time, remote access to household appliances introduces new requirements for security, human oversight, transparency, and accountable AI governance. With regulatory frameworks such as the EU AI Act emerging, Samsung Electronics recognized that demonstrating trustworthy and well-governed AI is becoming a prerequisite for scalable deployment and continued market access. To proactively address these requirements and strengthen trust with customers, partners, and regulators, Samsung Electronics pursued Trust Mark certification.

Challenges

01.
Layer_1
Demonstrating trust early

Waiting for the full regulatory and standards landscape to mature would delay innovation. The organization needed to demonstrate trustworthiness proactively.

02.
Layer_1 (1)
Shifting regulatory environment

Organizations must make design and governance decisions today while the final compliance frameworks, like the EU AI Act, are still being defined.

03.
Fragmented-ownership
Need for credible assurance

Samsung Electronics needed a certification approach capable of demonstrating credible and internationally relevant assurance for regulators and global partners.

04.
Decision-paralysis
Preparing for verification

Achieving certification required translating existing technical practices into structured documentation and evidence that could be independently assessed.

05.
Stalled-go-live-decisions
Aligning internal teams

The process required aligning engineering, security, governance, and operational teams around a shared understanding of the Trust Mark requirements.

Our Approach & Solution

Nemko Digital supported Samsung Electronics throughout the full AI Trust Mark certification journey, in collaboration with the Korean Standards Association (KSA). The process began with structured risk categorization to determine the applicable requirements. Nemko Digital analysed the system's purpose, AI methods, level of autonomy, safety implications, and data sensitivity to issue an independent evaluation determining the appropriate risk classification (R1, R2, or R3).

The system was then assessed against the AI Trust Mark criteria, covering areas such as product definition, risk management, data governance, human oversight, transparency, and post-market monitoring. KSA conducted on-site interviews and documentation reviews to validate implementation and supporting evidence. Through iterative collaboration across engineering, compliance, and governance teams, the organization established a clear and repeatable governance framework demonstrating how the system meets Trust Mark requirements.

Following successful validation, Nemko Digital issued the AI Trust Mark certification. The system remains subject to periodic surveillance to ensure continued alignment as the service evolves, supporting lifecycle governance and long-term compliance readiness.

01.
Risk categorization
02.
AI impact assessment
03.
Technical documentation & risk management
04.
Data management & human oversight
05.
Post-market monitoring setup
06.
Validation & certification

Key Metrics

Through an independent assessment conducted by Nemko Digital and the Korean Standards Association (KSA), Samsung Electronics established a structured governance framework covering risk management, data practices, human oversight, and lifecycle monitoring.

Beyond certification, the initiative created a scalable foundation for deploying AI across a broader connected product portfolio, reducing future compliance friction and strengthening trust with customers, partners, and regulators.

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120+

Countries where the AI-enabled service monitors appliance performance

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3

Risk categories defined by the AI Trust Mark (aligned with EU AI Act)

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10–15%

Potential increase in sales performance from well- communicated trust marks

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1

Repeatable model established for governing AI-driven services at scale

Value Delivered

01.

Independent validation of system trustworthiness: Achieving the AI Trust Mark demonstrated that the remote support system meets internationally recognized expectations for responsible AI governance, transparency, and security.

02.

Increased consumer trust and transparency: By formally demonstrating how remote access and support functions are controlled and governed, Samsung Electronics reinforced user trust in connected home appliances.

03.

Regulatory readiness for emerging AI frameworks: The certification helps prepare the organization for evolving global regulatory requirements, reducing future compliance friction, audit complexity, and time to market.

04.

Market differentiation through trusted technology: Samsung Electronics can demonstrate its commitment to responsible innovation, positioning the organization not only as compliant, but as a leader in trusted AI-enabled services.

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