Datadog's Cloud SIEM leverages modern
architectures and machine learning to ensure organizations can meet
their security goals without the limitations of outdated
systems
NEW
YORK, Dec. 2, 2024 /PRNewswire/ -- Datadog, Inc.
(NASDAQ: DDOG), the monitoring and security platform for cloud
applications, today announced its modern approach to Cloud SIEM,
which doesn't require dedicated staff or specialized teams to
activate the solution. This approach makes it easy for teams to
onboard, de-risk migrations and democratize security practices
while disrupting traditional models, which can be costly and
resource intensive.
Existing SIEM (security information and event management)
solutions face several significant challenges that put security
teams at risk. Traditional SIEMs often struggle to integrate data
from diverse sources, leading to fragmented visibility and delayed
detection and response. As organizations grow and data volumes
increase, legacy systems and their required dedicated teams become
overwhelmed, resulting in inefficiencies at cloud scale and rising
operational costs. The high amount of false-positive alerts from
these traditional solutions can also lead to alert fatigue, causing
critical threats to be overlooked.
Datadog's Cloud SIEM leverages modern architectures and machine
learning to address these challenges and emphasize agility,
scalability, cost-efficiency and real-time threat detection.
Organizations like Lenovo, FanDuel, Carvana, University of Alabama at Birmingham (UAB) and
Vanilla Technologies rely on this modern approach to rapidly
onboard new sources for threat detection, help them prioritize
security investigations and resolve issues quickly.
"Datadog Cloud SIEM's ability to add custom data sources helps
the SOC at UAB improve our alerts. Using specific facets we are
able to create high fidelity alerts and can pivot into
investigating and responding seamlessly. This overall has improved
our security posture," said Daniel
Studdard, Information Security Engineer at the University of Alabama at Birmingham.
As part of Datadog's unified platform, features of Cloud SIEM
include:
- Risk-Based Insights: Teams can correlate real-time
signals and findings into entities in order to streamline the way
security teams prioritize investigations. Risk scoring includes
Cloud Security Management insights such as misconfigurations and
identity risks, as well as expanded entity types like S3 buckets,
EC2 instances, and SAML and web users, to help teams detect,
prioritize and respond to threats.
- 15-Months Retention: Datadog offers 15-months retention
and Flex Logs with Cloud SIEM to provide customers with a flexible
economic model that delivers powerful threat detection capabilities
without overspending. This flexible approach allows organizations
to scale security operations as needed while optimizing resources,
enabling cost efficiency without sacrificing performance.
- Security Operational Metrics: Cloud SIEM provides deep
insights into the performance of security teams, helping to assess
how effectively they respond to and resolve threats in cloud
environments. These metrics are readily available through pre-built
dashboards and detailed reports, offering valuable data such as
detection rule coverage, alert response times and investigation
outcomes that help teams continuously optimize their threat
response strategies.
- Content Packs and Out-of-the-box Integrations: With
pre-built detection rules, dashboards and workflow automation tools
tailored to integrations with leading technologies, organizations
can leverage out-of-the-box content to accelerate threat detection
and response. More than 30 integrations and Content Packs have been
added in the past six months, including Abnormal Security,
Atlassian Organization Logs, Cisco Secure Endpoint, Cisco Umbrella
DNS, Gitlab Audit Logs, Imperva WAF logs, Lastpass, Mimecast,
SentinelOne, Sophos Central Cloud, Trend Micro Email Security,
Trend Micro Vision One XDR and more.
- Datadog Security Labs: Backed by Datadog's Threat
Detection Research and Engineering team, Cloud SIEM ensures
continuous innovation and momentum in threat detection. With
unparalleled expertise and data insights, Datadog empowers
organizations to not only migrate seamlessly but also stay ahead of
emerging threats in today's evolving security landscape.
"Today's security threats require a modern approach that can
help teams reliably detect, prioritize, investigate and resolve
issues," said Yash Kumar, Senior
Director of Product at Datadog. "Datadog's Cloud SIEM delivers that
modern approach with a unified platform for observability and
security that provides easy onboarding into the product with
out-of-the-box content, deep threat detection, full-stack context
and visualizations."
To learn more about Datadog Cloud SIEM, please visit:
https://www.datadoghq.com/product/cloud-siem/.
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, user experience monitoring, cloud security 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 8, 2024, 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.