Protect Your Biotech Breakthroughs with Unmatched Data Security& Control with Bedrock
Biotech businesses thrive on innovation, but protecting intellectual property (IP) and research data is more challenging than ever. Collaboration with partners, CROs, and universities increases the risk of IP leaks, while cyber threats and insider risks put valuable discoveries in jeopardy.
Bedrock ensures that critical assets—gene sequences, molecular formulas, and proprietary research—are consistently secured across all systems. Our advanced Data Lineage technology tracks derivative works, maintaining data integrity and traceability, so every fragment of your protected content is accounted for.
$
5100000
Total cost of pharmaceuticals data breach in 2024
71
Average number that pharmaceutical companies face in cyber attacks each year
2500000
Number of people's clinical test data stolen from Biotech company Enzo Biochem
One platform to secure, govern, and manage all data across SaaS, IaaS, and PaaS platforms
Defend Your IP: Track, Trace, and Protect
Gain full visibility into your data’s origins, movement, and usage with Bedrock’s industry-first comprehensive lineage and origin tracking. By automatically mapping structured, semi-structured, and unstructured data across your ecosystem, we eliminate blind spots, secure intellectual property, and accelerate governance efforts.
Protect your IP: Precise lineage tracking and entitlement chain analysis
Streamline GRC: A single source of truth for compliance analysis
Eliminate Manual Effort: Automated, real-time data movement insights
Keep eyes on your IP
Protect your data and IP with fast and accurate movement tracking, comprehensive entitlement mapping, and automated policy monitoring and validation.
Monitor Data Access: See, Secure, and Control
Eliminate risk blind spots with complete entitlement chain analysis—the most accurate and comprehensive view of data access and usage. Bedrock is the only data security platform that tracks every access point across all platforms, helping you reduce breach risks, detect policy violations, and accelerate governance efforts. With full visibility, you can proactively secure sensitive data, enforce least-privilege access, and slash MTTD.
Generative Al poses a unique data challenge because once data goes into a model, it's challenging to control the output.
Andrew Kuhn, Product Security Engineer, House Rx
Generative AI poses a unique data challenge because once data goes into a model, it’s challenging to control the output. Enterprises need assurances that GenAI models are compliant and secure, and that they will not divulge sensitive information. Bedrock’s ability to automatically learn what data is most material to the business and put boundaries between sensitive data and GenAI models is a game-changer. This capability reduces friction and enables us to safely and responsibly bring GenAI to customers faster.
Suha Can, CISO at Grammarly
I believe that effective security requires looking at the full lifecycle of how customer data is handled. This means getting accurate visibility, enabling data perimeters, and proactively reducing data risk. Bedrock’s innovation excites me and aligns with how I think about protecting data and managing risk effectively.
Mukund Sarma, Sr. Director Product Security, Fastest Growing US Fintech Co.
Dive Deeper
Learn more about how Bedrock is transforming enterprise data management and security in biotech
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