Customers can conduct historical
investigations by visualizing and correlating security activity
over a long period of time
SAN
FRANCISCO, Aug. 3, 2023 /PRNewswire/ -- Datadog,
Inc. (NASDAQ: DDOG), the monitoring and security platform for
cloud applications, today announced 15 months of data retention for
Cloud SIEM, with new detection and exploration capabilities so
security teams can conduct historical investigations and uncover
threats hidden within their cloud and IT environments.
Conducting investigations is time consuming as security teams
are constantly importing and archiving older logs to long-term
storage. These logs may be spread across multiple environments and
geographies for compliance reasons and often must be re-indexed
before an investigation can start. Customers may also need to write
complex search queries to correlate user activity with other
security events to uncover a threat.
Datadog Cloud SIEM visualizes security activity across systems
or entities—such as users, devices, IP addresses, apps and network
connections—within the organization's infrastructure for as far
back as 15 months. This new capability enables customers to
correlate and uncover embedded threats without having to write
custom queries or import log data for every investigation.
"Without the ability to retain logs for a long period of time,
companies are at risk of missing deep embedded issues that may
threaten the availability and integrity of systems, apps, services
and data," said Yash Kumar, Senior
Director of Product Management, Cloud SIEM, at Datadog. "With Cloud
SIEM, security teams now have a time machine to discover hidden
threats and malicious activity. They can visualize and correlate
events as far back as 15 months, making historical investigations
faster and easier."
Historical investigations for Cloud SIEM is in public beta for
all Datadog customers. To learn more, please visit:
https://www.datadoghq.com/blog/cloud-siem-historical-investigations/.
About Datadog
Datadog is the observability and security platform for cloud
applications. Our SaaS platform integrates and automates
infrastructure monitoring, application performance monitoring, log
management, real-user monitoring, and many other capabilities to
provide unified, real-time observability and security for our
customers' entire technology stack. Datadog is used by
organizations of all sizes and across a wide range of industries to
enable digital transformation and cloud migration, drive
collaboration among development, operations, security and business
teams, accelerate time to market for applications, reduce time to
problem resolution, secure applications and infrastructure,
understand user behavior, and track key business metrics.
Forward-Looking Statements
This press release may include certain "forward-looking
statements" within the meaning of Section 27A of the Securities Act
of 1933, as amended, or the Securities Act, and Section 21E of the
Securities Exchange Act of 1934, as amended including statements on
the benefits of new products and features. These forward-looking
statements reflect our current views about our plans, intentions,
expectations, strategies and prospects, which are based on the
information currently available to us and on assumptions we have
made. Actual results may differ materially from those described in
the forward-looking statements and are subject to a variety of
assumptions, uncertainties, risks and factors that are beyond our
control, including those risks detailed under the caption "Risk
Factors" and elsewhere in our Securities and Exchange Commission
filings and reports, including the Quarterly Report on Form 10-Q
filed with the Securities and Exchange Commission on May 5, 2023, as well as future filings and
reports by us. Except as required by law, we undertake no duty or
obligation to update any forward-looking statements contained in
this release as a result of new information, future events, changes
in expectations or otherwise.
Contact
Dan
Haggerty
press@datadoghq.com
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SOURCE Datadog, Inc.