Frictionless data security company Bedrock Security has made a couple of major announcements. Bedrock unveiled its comprehensive data security platform. And the company also announced $10 million in seed funding led by Greylock.
Bedrock discovers, manages, and protects sensitive data, enabling organizations to effectively manage data risk introduced by cloud and generative AI (GenAI). This platform is powered by the industry’s only data AI Reasoning (AIR) Engine. AIR understands what data is essential to an enterprise, effectively protecting the most valuable assets without slowing down data growth and business success.
Bedrock Security was founded by data security experts Pranava Adduri and Ganesha Shanmuganathan. Adduri held executive roles at Rubrik and AWS and identified the critical challenges in enterprise data protection. Shanmuganathan, who has a strong engineering background through experiences at Cohesity and VMware and holds over 50 patents, matched this insight with his system architecture skills. They also developed the Bedrock Platform, a scalable solution to complex data security needs.
AIR empowers companies of all sizes and industries can secure their data and manage risk easily, without compromising scale, speed, or accuracy. No matter where a company is in their data security journey, Bedrock Security helps organizations build a solid data security program designed for exponential data growth and data usage without introducing unnecessary friction.
Through Bedrock’s AIR, companies now have new data classifications that were not possible through rules-based systems. And this approach extends to tracking regulated data and core IP that could be used to train GenAI models. With AIR’s technology, including data similarity, topic detection, and identity and activity analysis, Bedrock offers a clear picture of data usage and risk in one unified platform.
KEY QUOTES:
“We purpose built Bedrock with the imperative understanding that data is foundational to organizational growth, especially with the rapid adoption of generative AI. By fully understanding an organization’s data at the scale and speed demanded by modern enterprises, we are addressing the shortcomings of Data Security Posture Management (DSPM) and legacy data security solutions. Modern LLM architectures like Retrieval Augmentation Generation (RAG) ingest a large volume and variety of data very quickly. Unlike legacy solutions, Bedrock can effectively ensure protected information, such as regulated data and core intellectual property (IP), is not ingested into these AI models. Bedrock’s mission is to empower modern businesses to embrace all data without increasing risk.”
- Pranava Adduri, CEO and co-founder of Bedrock Security
“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, 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
