Customer Flow-Experience with a privacy-compliant solution
Our platform does not require cookies. All users are anonymized. It can be integrated quickly and easily with JavaScript and runs independently of other projects (e.g., A/B testing).
Data security is a critical issue in today’s world of technology; as more sensitive information is stored and transmitted online, the risk of data breaches and cyber-attacks increases. Individuals and organizations need to protect their data and ensure its security.
To ensure data privacy and security, organizations should implement appropriate technical and organizational measures to protect personal and sensitive data. That may include encryption, access controls, and regular security audits. It is also crucial for organizations to be transparent about their data privacy and security practices and to obtain consent from individuals before collecting, using, or sharing their data. At Behamics, we need to satisfy processor-related regulations through our technology.
Our solutions are GDPR-conform
The data has been collected and processed by the provisions of the GDPR. We do not collect individual data and implement appropriate technical and organizational measures to permanently ensure the confidentiality, integrity, availability, and resilience of the systems and services related to the processing.
We work with confidentiality
Behamics only works with employees who are sworn to secrecy and familiar with the data protection provisions relevant to them. In doing so, the Processor will instruct these persons about the legal requirements for data protection and oblige them to comply with these provisions.
Securing the building, using alarm systems, security locks, manual locking systems, careful selection of security guards but also the use of latest authentication systems, blocking external interfaces (f.e. USB), anti-virus software, intrusion detection systems, user rights assignment, and strict password assignment/password rules are a matter of course.
Pseudonymization
We use measures to guarantee that data is processed in such a way that it can no longer be assigned to a specific data subject without the use of additional information. That includes state-of-the-art transformation methods like crypto methods, as well as personal and customer identification numbers instead of names. Not least, the pseudonymized data will be deleted in accordance with data protection regulations once the purpose of processing no longer applies.