Traditionally, types of data are broken down into six broad categories: quantitative, qualitative, nominal, ordinal, discrete, and continuous data.
Each of these categories helps humans enrich our understanding of the world around us, including how we conduct business. In the digital age, the staggering amount of data generated and collected every second has given rise to stringent regulations that dictate how organizations must handle data and the consequences if they do not follow protocol. To ensure enterprises properly manage confidential data, including personally identifiable information (PII), healthcare and financial information, and intellectual property, data privacy plays a large role in keeping information completely confidential.
Data privacy is more than just encrypting or anonymizing data, though both can be methods to protect the data itself. Data privacy includes legal frameworks such as policies and legislation designed to guide businesses in protecting customers and employees. It also applies to the rules third-party associates who have access to the data (including cloud service providers) must adhere to and data governance requirements for storing, securing, and retaining data. These regulations can vary from state to state and internationally as well. In general, the concept of data privacy can be viewed as a subset of larger data protection and security.
In an organization, data privacy can be viewed as part and parcel of the overall security posture, and thereby it is susceptible to the same vulnerabilities as the rest of the infrastructure. Despite this relationship, data security and privacy are not inherently the same. Data security pertains to how businesses protect their tools and technologies from cyber threats, whereas data privacy defines what data can be collected and what can be done with it. By nature, data privacy is faced with regulatory compliance by laws such as General Data Protection Regulation (GDPR) in the European Union or the Health Insurance Portability and Accountability Act (HIPAA) in healthcare industries.
One major factor in data privacy regulation is an organization’s ability to guarantee the data’s integrity throughout the five stages of the data lifecycle: creation, storage, usage, archival, and ultimately destruction. To ensure compliance, the data itself must be protected at all times, but doing so has always been a patchwork of one point solution after another.
Until now.
Anjuna Confidential Computing software uses enclave technology to create a trusted execution environment (TEE) that enables applications and data to be encrypted and secured at the hardware level. The encryption and decryption occur within the CPUs themselves, isolating data and memory from the operating system. Anjuna software makes the implementation of Confidential Computing easy, so any enterprise can maintain data privacy at all times and exceed regulatory standards for data protection.
Request a live demo to learn more about what Anjuna can do for your organization.
