Laminar, a public cloud security provider, has launched Laminar Labs, the company’s cutting-edge research team designed to help organizations protect their most sensitive cloud data. Led by Laminar CTO and Co-founder Oran Avraham, the team also includes Laminar Chief Scientist Joey Geralnik and Laminar VP of Data Dan Eldad and will be responsible for discovering, analyzing and designing defenses for emerging cloud data security risks. To mark its debut, Laminar Labs has published its first blog post, “Versioning in Cloud Environments: How It Can Cause Shadow Data & How to Mitigate the Risk.” The Laminar Labs Team
The Laminar Labs team has decades of collective experience in the Israel Defense Forces and a combined 40+ years of cybersecurity industry experience. Team lead Avraham identified the first iPhone 3G baseband vulnerability at just 17 and has since gone on to win the annual Google Capture the Flag (CTF) competition five times in the past six years. Most recently, Avraham and several Laminar Labs team members won the AWS Security Jam contest at AWS re:Inforce earlier this year. This expertise will bring red team experience and insights to blue teams around the world.
Laminar Labs has already scanned many petabytes of data in order to provide meaningful analysis and research to Laminar customers to keep customers’ public cloud data safe. The team will continue to publish data-driven industry research to provide guidance on how security teams can protect their cloud data.
“While the cloud offers organizations a host of benefits, it also has come with significant security challenges. It’s become increasingly important for data security professionals to be armed with data-driven research to protect their most sensitive cloud data assets. This is why we created Laminar Labs,” said Amit Shaked, CEO and co-founder of Laminar. “It is our hope that our experienced research team can connect the dots for security professionals to protect organizations’ most precious assets.”
Laminar Labs’ First Research Findings
Versioning in AWS S3 buckets, Azure Blob containers and Google Cloud buckets can also create unknown or “shadow” data. If that shadow data includes sensitive information, it increases its value in the eyes of attackers.
Laminar Labs’ inaugural research, “Versioning in Cloud Environments: How It Can Cause Shadow Data & How to Mitigate the Risk,” provides valuable insights on what shadow data is and its risk to company networks. It also explores how versioning in AWS S3 buckets, Azure Blob Containers and Google Cloud buckets can add to data exposure risk, and how data security professionals can mitigate the risk.