Cutting-edge security research team debuts research on Versioning in Cloud Environments.
Laminar, the leader in public cloud data security, announced the launch of 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 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 has over 32 collective years 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 more than 450 petabytes (PB) 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.”
Versioning in AWS S3 buckets, Azure Blob containers and Google Cloud buckets is an emerging best practice when storing and managing data in the cloud, but it 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 piece of 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.
For more information and to view the team’s debut post, please visit https://laminarsecurity.com/blog/versioning-in-cloud-environments-how-it-can-cause-shadow-data-how-to-mitigate-the-risk/.
Tune in to hear from Chris Brown, Vice President of Sales at CADDi, a leading manufacturing solutions provider. We delve into Chris’ role of expanding the reach of CADDi Drawer which uses advanced AI to centralize and analyze essential production data to help manufacturers improve efficiency and quality.