User-Managed Access (UMA)

Secure Delegated Authorization that Builds Privacy, Consent and Trusted Relationships

Privacy regulations, like GDPR, impact all organizations holding personally identifiable information. Void of compliance, organizations can suffer disastrous repercussions  in the form of  enormous fines and even imprisonment of executives. Further, lax privacy practices can cost an organization reputation and ultimately consumer trust. But new regulations don’t have to bring only doom and gloom. Savvy businesses can leverage these regulations as a way to build trust with their customers.

Organizations can opt for a contextual privacy methodology which takes the burden away from the business and puts it into the hands of the consumer – ultimately building trusted relationships necessary for successful digital transformation.

User-Managed Access, UMA, gives your customers and employees a convenient way to determine who and what gets access to personal data, for how long, and under what circumstances.  Users delegate access through a simple “Share” button in your app, and can monitor and manage sharing preferences all through a central console.

Do More With User-Managed Access
Description produit

Learn how UMA can help you protect user privacy with a simple user experience

Identité des clients (CIAM)

The Guide to Trusted Digital Relationships with Customer Identity and Access Management (CIAM)

Présentation

IoT and other new technologies require modern solutions like UMA for privacy and consent

No More Data About You, Without You

With UMA, sharing information is simple. While there are a few consent tools out there that go beyond the post-compliance opt-in and opt-out checkboxes, they are proprietary, thus limiting sharing capabilities to within the organization. Other privacy and consent tools lack options to empower consumers, such as granular access controls to determine who can do what with their data, the ability to revoke data access at will, and the security needed to prove who is accessing data.