When Peiter “Mudge” Zatkotestifiedbefore a U.S. Senate committee last September about Twitter’s security shortcomings, he laid out a few concerns that should get the attention of businesses everywhere.
Zatko, Twitter’s former security lead, became known as the “Twitter Whistleblower” after he filed a complaint with the federal government listing a raft of security lapses at Twitter, saying the company willfully ignored them. He singled out two related issues that many companies probably face, even if they don’t know it: “They don’t know what data they have, where it lives or where it came from, so unsurprisingly they can’t protect it,” he warned. And further, he added: “Employees then have to have access to too much data in too many systems.”
In today’s business environment, enterprises have reams of data—terabytes and petabytes of information—sprawled across servers both on-premises and in the cloud, and any number of applications and storage solutions. The responsibility for safeguarding that information also gets fragmented across groups including security, privacy, and data governance, often working with different tools. But traditional solutions were not designed to monitor and control data in large-scale multi-cloud environments, nor handle the rapidly evolving regulatory landscape. This has resulted in a disconnected set of data analysis and control capabilities that lead to increased costs and complexity, as well as inconsistent data classification,...
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