Customer story
The world's largest law firm maintains the confidentiality of client documents
Why
Kirkland and Ellis
uses Cyberhaven
Kirkland and Ellis
Challenges
As a law firm, most of the data Kirkland manages is sensitive in nature, detailed context is required to understand which pieces of sensitive data are of the utmost importance to secure.
Cyberhaven's Benefits
1
Protect client documents that don't contain any text pattern or file tag/label
2
Understand the flow of data within the firm and the unknown risks
3
Put in place controls to protect customer data and the firm's reputation
4
Executive Summary
With Cyberhaven, the security team at Kirkland had more granular analysis about the types of sensitive data within their environments and could create detailed remediation responses around the behaviors they didn't want occurring in their environments.
Cyberhaven beat everyone else in security to the punch with data lineage. Being able to surface critical content without having to painstakingly configure alerts has turned me into a zealot for this technology.
Arlan McMillan
CSO, Kirkland and Ellis
The challenge
How to classify data that contains no keyword or RegEx pattern
As the world's largest law firm, Kirkland & Ellis handles countless confidential documents for its corporate clients. These documents, distinct in nature, cannot be easily classified using standard keywords or RegEx patterns. This uniqueness posed a challenge as most content-based classification tools yielded high false positive rates when trying to secure these files.
The sheer volume of files processed by Kirkland & Ellis made manual tagging by employees a non-viable solution. Not only was this method time-consuming, but it was also prone to human error, and posed a considerable risk to the security and integrity of the documents. Kirkland & Ellis faced a complex challenge: how could they ensure robust protection of their unique and sensitive client documents without falling into the pitfalls of false classifications or the unreliability of manual file tagging?
The solution
Cyberhaven changes how the firm protects data, starting with how it classifies it
With Cyberhaven, the security team at Kirkland had more granular analysis about the types of sensitive data within their environments and could create detailed remediation responses around the behaviors they didn't want occurring in their environments.
Cyberhaven was able to deliver results in the following key areas:
Accurately classify client documents
Cyberhaven leverages data lineage, going beyond mere content analysis, to accurately classify client documents. This advanced approach reduces misclassifications, ensuring that sensitive information is consistently recognized and adequately protected, setting a new standard in data security.
Quickly resolve internal investigations
Kirkland employs Cyberhaven to expedite internal investigations. Utilizing complete data histories, they ascertain user actions prior to incidents and trace the data's origin. This clarity streamlines resolutions and illuminates data access pathways, enhancing overall security measures.
Achieve better data lifecycle management
Kirkland harnesses Cyberhaven's data classification to enhance data lifecycle management. By understanding data origins and interactions, they streamline storage, access, and archival processes, ensuring information is effectively managed and protected throughout its entire lifecycle.
Gain visibility into where data flows
Cyberhaven provides Kirkland unparalleled visibility into unknown data realms. It uncovers "unknown unknowns," illuminating concealed storage spots and erratic data flows, revealing latent risks, and enabling a comprehensive understanding of data movement and vulnerabilities within the firm.
Live demo
See our product in action
The best way to understand the magic of Cyberhaven is to see a live product demo.
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