BioIVT
BioIVT needed full visibility into sensitive data across a complex environment. Cyberhaven delivered the lineage, classification, and context to make it possible.
BioIVT overview
BioIVT is a global provider of high-quality biological specimens and value-added research services that support life science and diagnostic companies around the world. The company specializes in sourcing and preparing human and animal tissues, cell products, blood, and other biofluids to help researchers better understand disease processes and advance therapeutic development.
With an unmatched portfolio of clinical specimens and a focus on precision medicine research, BioIVT collaborates with scientists and pharmaceutical partners to enable smarter science and accelerate medical breakthroughs. This commitment to supporting critical research extends into how BioIVT approaches internal priorities such as protecting its sensitive scientific and operational data.
Challenges
The security team lacked a unified view of sensitive data across the organization — making it difficult to quickly assess risk, investigate incidents, and demonstrate compliance with confidence.
Without a clear way to see how data was classified, where it originated, and how it flowed between systems, understanding the true sensitivity of the environment was not possible.
With multiple AI models already in production and others in development, the organization needed a clear understanding of its data before those models were trained or deployed.
All of the new frameworks are focusing on governance, transparency, and understanding how your data is moving — especially before you turn on AI models.
Challenge and impact
When we set out to redefine DLP, we included the standard features you expect.
As a global life sciences company, BioIVT operates in a highly regulated environment where large volumes of sensitive data are central to daily operations. The organization manages personal patient data, proprietary business information, and other sensitive assets while meeting strict regulatory and audit requirements across regions.
For Acting Chief Information Security Officer at BioIVT, Chad Pallett, managing that responsibility starts with visibility. In his role, Pallett is focused on ensuring the organization understands what data it has, where it lives, and how it moves across the environment.
“My job really is to help bring awareness of what’s happening in the real world on a day to day basis,” Pallett said. “That means understanding what data we have, where it’s moving, and the risks associated with it.”
While BioIVT had insight into individual systems, the security team lacked a unified view of sensitive data across the organization. Without a clear way to see how data was classified, where it originated, and how it flowed between systems, it became more difficult to quickly assess risk, investigate incidents, and demonstrate compliance with confidence.
That challenge grew more urgent as BioIVT expanded its use of AI,” he said. “With multiple AI models already in production and others in development, the organization needed a clear understanding of its data before those models were trained or deployed.
“All of the new frameworks are focusing on governance, transparency, and understanding how your data is moving. Especially before you turn on AI models.”
Solution
From effortless deployment to deep data lineage, Cyberhaven transformed how BiolVT detects, investigates, and responds to security events.
Seamless deployment
Implementing DSPM required minimal effort. As an existing Cyberhaven customer, BioIVT expanded visibility by refreshing existing connectors. “Implementing the DSPM features was really just like flipping a switch,” Pallett said.
Full data lineage history
“One of the many things I love about Cyberhaven is the ability to track the lineage and bring that whole history. It’s been life saving on many occasions,” Pallett said.
Context-aware investigations
That lineage and context proved critical during investigations. With Cyberhaven, BioIVT could see not only that an event occurred, but also what data was involved, where it came from, and how sensitive it actually was. In one case, a file that initially appeared low risk based on its name was revealed to contain sensitive credentials and access information once its contents and history were analyzed.
Visibility-driven justification
“Without the additional context and awareness of what was actually in the file, it never would have triggered the need to investigate further,” he said. “Cyberhaven is always an easy justification because of the power it brings from visibility.”
DSPM across systems
Cyberhaven’s data security posture management (DSPM) capabilities also helped BioIVT make sense of data across systems and uncover classifications that had not previously been considered, giving the security team a clearer understanding of the true sensitivity of its environment.
Rationalizing data activity
“DSPM is critical really for any and all cybersecurity or even just frameworks as a whole,” he said. “DSPM is key in the ability to rationalize all of the different elements of what’s happening with your day to day information behind the scenes.”
Exposing real data
Beyond rationalizing data, DSPM also exposed insights BioIVT had not previously been able to see. “The DSPM editions bring us that opportunity to see my real data and to expose what really are the elements or the types of classifications that we should be considering,” he said.
Lineage-linked remediation
That deeper understanding allows insight to translate into action by tying remediation directly to data movement and lineage. “One of the many advantages the DSPM options bring is that ability to now join the remediation efforts and actions along with the lineage,” he said.
One of the many things I love about Cyberhaven is the ability to track the lineage and bring that whole history. It's been life saving on many occasions.
Looking ahead
As BioIVT continues to expand its use of AI, having strong data governance and preparedness remains a critical focus. With multiple AI initiatives in motion, the organization needs confidence that sensitive data is identified, understood, and protected before it is introduced into AI systems.
Data classification
Cyberhaven supports that effort by helping BiolVT identify, classify, and understand the provenance of sensitive data across the environment.
The value of provenance
"The provenance that Cyberhaven provides is critical to building your data program for AI or for any cybersecurity measures," he said.
Strengthening security
Beyond AI readiness, Cyberhaven gives BiolVT's security team clear visibility into data movement and lineage, helping them quickly assess risk and communicate with executive leadership.
Auditing & proactive risk
"This is really the only way we have to effectively audit and track the lineage of activity explains. But beyond that, it allows us to be proactive and quickly identify risks," he said.
Conclusion
For BioIVT, protecting sensitive data and supporting the organization’s mission depend on having clear visibility into how data is created, used, and moved across the environment. Cyberhaven has become a foundational part of building that understanding and advancing a more mature data security program.
“Cyberhaven has been critical in our ability to build a mature cybersecurity program and bring the visibility that other team members need,” he said.
Beyond the technology itself, BioIVT values Cyberhaven as a partner in its security efforts.
“The customer experience team has been top notch.”
For organizations looking to gain a clearer picture of their data and associated risk, Pallett’s advice is straightforward.
“Try it out and take off the blindfold for a couple days. See what’s really happening in your environment,” he said. “You won’t be disappointed.”
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