A growing number of organizations rely on digital identification (i.e., digital IDs) to ensure only authorized users can access their services. However, this often requires gathering and collecting personal information — sometimes including biometric data such as body measurements, fingerprints, etc. It’s imperative such organizations establish a standardized framework of trust and security, as well as clear rules, ethics, and governance around collecting and storing this sensitive information, such as:
Device compatibility
Many individuals and organizations use different digital ID devices and software, which can lead to compatibility issues. For instance, different devices often come with different levels of security controls or different capabilities for the deployment of these controls. It’s critical to ensure applications are compatible with all relevant devices and have robust security measures to protect individuals’ privacy.
Robust technology
The technology underpinning digital IDs must have an extremely narrow margin of error — especially those utilizing biometric data. Common issues persist which may lead to false positives and negatives, both of which can limit the functionality of digital ID platform and lead to security breaches and/or workarounds which negate the technology’s utility.
Tiered access
Organizations that use digital IDs have a responsibility to keep sensitive user data secure. While a central digital source of information offers convenience for both organizations and individuals, there’s also tremendous risk. Individuals’ biometric markers are immutable, so security breaches can have catastrophic (and potentially irreversible) consequences.
Organizations must create and implement defined privacy and security procedures — and comply with all relevant privacy regulations — to protect user data from unauthorized access. A tiered access framework can help organizations reduce the amount of people who have access to the information and thereby reduce the associated risks of a breach.
A policy built around the data lifecycle
Organizations must consider the steps they’re taking to protect data throughout its entire lifecycle and make this information readily accessible for all relevant stakeholders. This includes how and why data is gathered, stored, and secured — as well as when, how, and why it’s ultimately deleted or purged. Such measures should be clearly defined (and rigidly followed) in comprehensive policy and procedural documents which are continually updated as practices or technologies evolve.
Learn more:
How to get digital ID management right