Laminar 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 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.