Lacework and Snowflake announced an
expanded partnership that advances the future of cloud infrastructure and
further automates cloud security at scale. The extended partnership empowers
security teams with direct access to their Lacework cloud security data through
Snowflake's secure data sharing for unified visibility and custom automation.
As generative AI becomes increasingly more sophisticated and democratized
across industries, so does the frequency and magnitude of cybersecurity risks
as businesses accelerate their development velocity and creation of cloud data.
This new era of cloud security requires a fundamentally new approach, and
Lacework's platform is designed to handle the massive scale of data across an
organization's cloud environment - code, identities, containers, and
multi-cloud infrastructure - leveraging Snowflake as its key platform partner.
With Lacework's security platform and Snowflake's Data Cloud, customers can
bring the value of cloud security data to the rest of the business, helping
organizations holistically measure their security and compliance posture.
"Snowflake has been a committed platform partner as Lacework has scaled our
business to support more than 900 customers - ranging from small, early-stage
startups to some of the most sophisticated enterprises running in the cloud
today - whose operations result in tremendous volume, velocity, and variety of
security-relevant data," said Ulfar Erlingsson, Chief Architect, Lacework.
"Even across such a highly-skewed set of customers, for the last seven years
Lacework has been able to operate timely and efficient data processing by
leveraging the Snowflake Data Cloud. Our expanded partnership with Snowflake
will enable us to better serve our joint customers at cloud scale, whether they
require us to process only a trickle of security data or 10s of gigabytes per
second."
"Cybersecurity is a data problem at its core, and Snowflake's extended
partnership with Lacework makes it easy for joint customers to cover their
critical cloud infrastructure with instant data sharing to their security data
lake," said Omer Singer, Head of Cybersecurity Strategy, Snowflake. "Among the
many potential benefits of generative AI is the ability for enterprises to
deploy new applications faster, which places even more emphasis on the need to
have scalable solutions and infrastructure. The combination of Snowflake and
Lacework will continue to help organizations scale their cloud businesses
securely in this new era."
As
a platform committed to providing customers with flexibility and choice in how
they build out their technology infrastructure, Lacework works seamlessly with
customers that choose to leverage Snowflake as their security data lake. Strategic customers
including Sprinklr and Sigma Computing leverage Lacework and Snowflake together
to supercharge their security operations with an end-to-end view of their cloud
security data.
"As the cybersecurity threat landscape continues to evolve with the rise of
emerging technologies, having all of our data in a place where we can correlate
and analyze effectively becomes evermore critical for analysis and threat
detection," said Gerald Beuchelt, Chief Information Security Officer, Sprinklr.
"Our global customers trust us to help manage their digital channels, and with
Lacework and Snowflake, we gain much deeper insight into everything going on in
our security cloud environment, enabling us to stay ahead of cyberthreats,
automate processes, and conduct investigations with ease."
Joint customers can also leverage Snowflake's collaboration capabilities to tap
into their data from Lacework, and securely unify this information with the
rest of their data stored in the Data Cloud. By aligning security insights from
Lacework with contextual data sets in Snowflake, joint customers can achieve
better visibility for high-risk vulnerabilities, conduct more proactive threat
hunting, enhance team efficiency, and more - without having to use APIs, data
pipelines, or create copies of the data.