Customer story
One of the world’s largest law firms maintains the confidentiality of client documents
Large Law Firm
Large Law Firm
Overview
As a law firm, most of the data this customer manages is sensitive in nature. Detailed context is required to understand which pieces of sensitive data are the most important to secure.
Challenges
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
Overview
With Cyberhaven, the law firm’s security team gained more granular analysis about the types of sensitive data within their environments—and were able to create detailed remediation responses around the behaviors they didn't want to occur in their environments.
The challenge
How to classify data that contains no keyword or RegEx pattern
This law firm handles countless confidential documents for its corporate clients. These documents are distinct in nature, and cannot be easily classified using standard keywords or RegEx patterns. The uniqueness posed a challenge—most content-based classification tools yielded high false positive rates when trying to secure these files.
The sheer volume of files processed by this customer made manual tagging by employees a non-viable solution. Not only was manual tagging time-consuming, but it was also prone to human error, and posed a considerable risk to the security and integrity of the documents. The law firm faced a complex dilemma: How could they ensure robust protection of their unique and sensitive client documents without dealing with false classifications or the unreliability of manual file tagging?
The solution
Cyberhaven changes how data is protected—starting with how it’s classified
With Cyberhaven, the law firm’s security team gained more granular analysis about the types of sensitive data within their environments—and were able to create detailed remediation responses around the behaviors they didn't want to occur in their environments.
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
The law firm 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 cycle management
The law firm 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 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.
The impact
Securing the future with data history
By classifying sensitive information with deep data lineage and going beyond surface-level content analysis, Cyberhaven helped one of the world’s largest law firms secure their corporate clients’ data—and their global reputation.
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Our DLP solutions were never really told us exactly what was there. Everything was a credit card number. Everything was a Social Security number. And so it just wasn't great. And it was a lot of work to manage.
Zack Willis
Senior VP of Technology, IVP
I've used traditional DLP technologies in the past and sometimes the noise-to-signal ratio can be a lot. The context Cyberhaven gives us has significantly improved our data protection, monitoring of data movement, and insider risk.
Prabhath Karanth
VP and Global Head of Security & Trust, Navan
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False positives have been the gating factor for our data protection policies and every one of them makes users angry and creates extra work for our team. Cyberhaven has changed that completely with blocking that is accurate and reliable, and we have a built-in trace of every event so we can validate each decision.
Lance Wright
CISO, Bazaarvoice
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The key challenge with insider threat tools is that they alert you to threats but don’t stop them. And they don’t detect actual threats, many of their alerts turn out to be false positives. Cyberhaven can take action to stop data exfiltration while an insider threat is happening.
John Harris
VP of IT Ops, Day & Zimmermann
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Cyberhaven is not only the best tool for tracking data movement and exfiltration, the team clearly cares about your data. Their unique design makes everything very easy to comprehend and quick to take action on.
Donald Strand
Security Systems Administrator, BLT Communications
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We've been with Cyberhaven for almost a year, and it's been a cornerstone of our DLP strategy. Their support team is always there for us, addressing any issues or requests we have.
Brad Gasser
Solutions Architect Cybersecurity, West Pharmaceutical Services
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Staying ahead of the competition means guarding against insider threats. Cyberhaven gives us visibility into how data flows within our company and stops insider threats in real time.
Richard Rushing
CISO, Motorola
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When you have a traditional system and you’re just looking at all the blocked actions, there’s just a lot of noise. Cyberhaven helps identify things that you don’t usually see with traditional DLP.
Mike Santos
Head of Security, Cooley
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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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