A zero trust model can help you defend against cybersecurity threats

Protect Your Enterprise Data EDQ with the Zero Trust Approach

What does Zero Trust mean for enterprise organizations? And how can you implement this approach to secure your business?

According to Cybersecurity Ventures, cybercrime will cost the world $6 trillion this year alone. Current edge security efforts that adopt a ‘castle-and-moat’ mentality have proven insufficient against cyberthreats.

Add to that the challenge of remote users, bring your own device (BYOD), and cloud-based assets that are not located within an enterprise-owned network boundary, and it’s clear that organizations need to evolve their security posture.

In response to these ever-increasing cybersecurity threats, organizations around the world are adopting the Zero Trust security model, which is centered on the belief that organizations must instead verify anything and everything trying to connect to their systems before granting access.

This has implications right down to the document level. After all, if you don’t know your content, you cannot protect it.

Unfortunately, enterprise content now exceeds both humans’ capability to manage and ECM systems’ scalability, even at the world’s largest entities. One banking technology executive recently told me, “we have a plethora of content repositories and no organizational will to bring them together, if that even makes sense.”

With up to 85% of enterprise data currently identified as unstructured and dark, organizations can leave themselves exposed to:

  • Litigation failures and compliance fines
  • Persistent data breaches
  • Mounting IT infrastructure costs
  • Financial loss through failure to surface important business data
  • Decaying relationships with regulators, customers, partners, suppliers, employees and investors

The Zero Trust approach is only possible if there is a system in place performing Continuous Diagnostics and Mitigation (CDM). For enterprise content, a Zero Trust CDM system would make it possible to discover content assets, create a usable index and monitor actors in the infrastructure.

With Shinydocs, our customers are crawling, understanding, searching, linking and cleansing this absurd backlog of enterprise content. While this is happening, newly created incoming documents are automatically indexed, interpreted, classified and put under lifecycle management, in place or in the repository of record.

Redundant, Obsolete and Trivial (ROT) files are continuously identified, quarantined or defensibly disposed of, reducing information risk and the attack surface. Content consumption is authenticated, authorized and logged in-place throughout its lifecycle. The need for content migrations may fade entirely. By cleansing and securing information, the connections created across all of an organization’s enterprise information generate a meshed network of this data, transforming a potential liability into assets of incredible value. It also allows for a Google-like search for enterprise content across all repositories.

This is what full data understanding looks like.

I’ve been working closely with large enterprises like CIBC to drive data value across their organization to make knowledge-enriched, contextualized data the default rather than the exception.

Connect with us to learn how our solutions can work for you.

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