Privacy-first software for a secure, automated world

At Parker Software, we understand the requirements of organisations that handle vast amounts of sensitive and regulated data. Our privacy-first software ensures that as you grow, you do so with confidence, knowing that your data, and the data of your customers, is protected. We care about your compliance.

What is automated regulatory compliance?

At Parker Software, we understand the requirements of organisations that handle vast amounts of sensitive and regulated data. Our privacy-first software ensures that as you grow, you do so with confidence, knowing that your data, and the data of your customers, is protected. We care about your compliance.

Examples of automated regulatory compliance

GDPR (General Data Protection Regulation)

A European Union law that governs how companies must collect, process, and handle the personal data of EU citizens.

HIPAA (Health Insurance Portability and Accountability Act)

A US law that protects sensitive patient health information and establishes national standards for the security of that data.

SOX (Sarbanes-Oxley Act)

A US federal law that mandates certain practices in financial record-keeping and reporting for public companies to prevent accounting fraud.

PCI-DSS (Payment Card Industry Data Security Standard)

A set of security standards designed to ensure that all companies that accept, process, store, or transmit credit card information maintain a secure environment.

    Why Parker is the best software for data privacy

    When it comes to secure automation and regulatory compliance, Parker Software stands apart. Our privacy-first software, including WhosOn, ThinkAutomation, and OptimaGPT, is built on a fundamental philosophy of protecting your data. This is achieved through our on-premises and private cloud deployment options, ensuring that your data never leaves your secure infrastructure.

    Industry examples of data compliance

    Our secure automation solutions are trusted across various industries to meet stringent regulatory compliance requirements.

    Finance

    Our platforms enable financial institutions to automatically process and redact PII from documents, and create unalterable audit trails. This satisfies strict regulatory compliance like SOX and PCI-DSS, while our secure chat and private AI handle customer data on-premises, minimising external risk.

    Healthcare

    Our solutions help healthcare providers maintain HIPAA compliance by securely processing patient records from various sources and transferring them to compliant EHR systems. Our secure, on-premises chat and private AI can handle patient enquiries using an internal knowledge base, so no sensitive data leaves your control.

    Public Sector

    Government agencies can use our secure automation to process public records requests and redact sensitive information. Our live chat and on-premises private AI handle citizen enquiries, ensuring all data processing happens behind a firewall.

      FAQs

      How does on-premises deployment help with data privacy?

      On-premises deployment is the ultimate form of data privacy. It ensures that your sensitive information is never exposed to third-party clouds or services. This is essential for industries with strict regulations.

      Where is my data stored when I use a public cloud?

      When you use a public cloud provider like Microsoft Azure, Amazon Web Services (AWS), or Google Cloud, your data is stored on physical servers in their data centres. These data centres are located around the world. The exact physical location may change and is often not specified to the user, as the cloud provider moves data between locations for efficiency and redundancy.

      Who has access to my data in a public cloud?

      Public cloud providers employ a multi-tenant model, where multiple customers share the same underlying physical infrastructure. While your data is logically separated, the cloud provider’s staff and systems have a level of access. This can raise concerns for organisations in highly regulated industries.

      Why is data processing a compliance concern with public AI?

      For many regulations, such as GDPR, the location of data processing is as important as its storage. When you use a public AI model, your data may be processed in a different country from where it originated. This can lead to a violation of data sovereignty laws and other compliance requirements.

      Can I use public cloud and public AI while remaining compliant?

      It is possible, but it requires a careful, shared responsibility model. You must use the provider’s security tools, configurations, and certifications to ensure your use case aligns with your compliance obligations. This is often more complex and less secure than a private, on-premises solution where you retain full control.