Security teams handling Identity and access management (IAM) are hampered by dirty data and need management help from a chief data officer, according to a new report by TechVision Research.
IAM is typically defined as a “security discipline that enables the right individuals to access the right resources at the right times for the right reasons.” But identity data is riddled with errors, which ultimately raise security and privacy risks, the report says.
The problems include multiple versions of employee names and titles in various systems — and even “ghost” employees. “We find a plethora of identity data challenges, including multiple authoritative sources of data, inconsistent data, redundant data, old data and misclassification of data,” the report says.
For example, companies may think they’ve deleted data about a former employee only to find that it was replicated in other systems. “Scores of companies are left with the ghost legacy of former employees that still have access rights — even people they fired for cause,” says Gary Rowe, CEO and principal consulting analyst at TechVision Research.
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