DGIQ-E22: PlainID - Data Access Control for the Modern Enterprise

**This is Subscription-Only Content, It is NOT purchasable as a separate product**

PlainID - Data Access Control for the Modern Enterprise

As organizations continue to modernize their infrastructure, the ability to control who can access what and when, has become more complex. Securing and facilitating the connections between the different types of identities (workforce, customer, partners, third party, machine, etc.) and the data they need is both a business and a security imperative. Data Security has been around as a topic since Data first existed, but in this session, we will talk about Data Access.

  • How do you as an organization ensure that data is only accessible by the right people, right identities, under the right conditions, at the right time. 

  • How do you manage this on an ongoing basis and keep it consistent no matter the medium in which the data exist in.

  • Combining a person's full identity and metadata about the asset to determine, at runtime, down to the row and column level what they should have access to.

Speaker: Mickey Martin


With over 11 years in sales and IAM, Mickey Martin spearheads Product Outreach and tech alliances at PlainID, working closely with the founders of the company. In his current role, Mickey is responsible for corporate development, global strategic partnerships, and technology ecosystem efforts across the enterprise. Additionally, he leads PlainIDs Tech Alliances strategy in an effort to support and extend the company’s industry-leading technology ecosystem to bring The Authorization Platform to all aspects of the modern technology stack. During his career, Mickey held top-level sales engineering positions at globally recognized IAM software companies, led a global team of Sales Engineers for one of the Top Identity Verification companies, and specialized in developing, scaling, and launching enterprise Identity and Access Management platforms and integrations that solves Identity and Authorization for large complex customer environments.

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