Version: 1.0
Last Updated: 2026-05-29
This document describes the technical and organizational measures implemented by Mobile Worker Systems Sweden AB (the “Company”) to protect Personal Data Processed in connection with the Line Inspector Service, as referenced in the Data Processing Agreement.
These measures are designed to provide a level of security appropriate to the risk under GDPR Article 32. They are organized into two parts:
The Company commits to maintain at least the following measures for the Service. The Company may strengthen these measures at any time. The Company will not materially reduce the measures in this Part A during a Subscription Term without notice to Customer in accordance with the ToS notice provisions.
| Measure | Commitment |
|---|---|
| Personnel confidentiality | Personnel with access to Customer Data are subject to written confidentiality obligations under their employment contracts or equivalent agreements. |
| Need-to-know access | Access to production systems containing Customer Data is restricted to personnel with a documented business need. |
| Multi-factor authentication | Multi-factor authentication is required for all administrative access to production systems. |
| Access geography | Administrative and support access to Customer Data is restricted as described in DPA Section 7.2. |
| Access control | Access to Personal Data is controlled through authentication, authorization, and logging mechanisms designed to ensure that only authorized personnel can access Customer Data. |
| Measure | Commitment |
|---|---|
| Encryption in transit | Customer Data transmitted over public networks is encrypted using industry-standard transport encryption (TLS). |
| Encryption at rest | Customer Data stored within the Service is encrypted at rest using encryption controls provided by the underlying cloud infrastructure, including industry-standard algorithms (for example AES-256). |
| Role-based access | Application-level role-based access controls restrict access to Customer Data based on Customer-configured permissions. |
| Audit logging | Security-relevant events such as authentication and administrative activity are logged. |
| Processing limitation | Processing of Personal Data is limited to what is necessary to provide and secure the Service, in accordance with Customer instructions and system configuration. |
| Measure | Commitment |
|---|---|
| Backups | Automated backups and durability features for Customer Data (including structured data, files, and objects) are maintained using the recovery and durability features provided by the cloud infrastructure providers identified in the Sub-Processor List. |
| Monitoring and alerting | Production systems are monitored for operational and security events, with alerting to personnel responsible for response. |
| Incident detection | Monitoring includes detection of potential security incidents affecting Customer Data, with escalation to personnel responsible for response. |
| Resilience | Reasonable measures are implemented to support service availability and resilience, appropriate to the Service and underlying infrastructure. |
| Measure | Commitment |
|---|---|
| Logical separation | Customer Data is logically segregated between customers via application-level controls. |
| Environment separation | Production and non-production environments are separated. |
| Measure | Commitment |
|---|---|
| Written agreements | Sub-processors are engaged under written agreements with security and data protection obligations no less protective than those in the DPA, as described in DPA Section 8.4. |
| Selection | Sub-processors are selected based on their ability to provide appropriate technical and organizational measures. |
| Measure | Commitment |
|---|---|
| Termination handling | Customer Data is deleted or anonymized following termination in accordance with the retention periods in the ToS and DPA, subject to backup rotation. |
| Anonymization | Where anonymization is used, it is implemented in a manner intended to be irreversible so that the resulting data is not reasonably capable of being used to identify Customer, any end user, or any data subject. |
In addition to the Committed Baseline above, the Company implements measures as good practice. These are described here for transparency; they are not minimum contractual commitments and may be enhanced, modified, or extended over time without notice.
The Company may update these TOMs from time to time to reflect changes in technology, risk, and operational practices.