Datadog Announces Integration with Amazon Security Lake
Datadog, Inc. (NASDAQ: DDOG) announced a new integration with Amazon Security Lake, facilitating the transfer of cloud security logs with minimal configuration. This partnership aims to streamline log aggregation and improve threat detection capabilities for users. Customers can utilize out-of-the-box detection rules or create custom security rules to analyze data. The integration highlights Datadog's commitment to enhancing cloud security analytics, as emphasized by executives from both Datadog and Amazon Security Lake during its unveiling at AWS re:Invent.
- New integration with Amazon Security Lake enhances user experience by simplifying the transfer of cloud security logs.
- Streamlined log management encourages better threat detection and investigation for customers.
- None.
Integration to provide more seamless correlation and detection of security incidents
NEW YORK, Nov. 29, 2022 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced a new integration with Amazon Security Lake. The integration, announced during AWS re:Invent, makes it easy for Amazon Security Lake users to send cloud security logs to Datadog in a standard format.
Building data pipelines in order to aggregate and route security logs to various security analytics solutions can be a cumbersome and time-consuming process. For Amazon Security Lake customers, Datadog's integration provides an easy way to send security logs to Datadog with minimal configuration required.
Once security logs are ingested into Datadog, customers can analyze and identify threats through out-of-the-box detection rules or by writing custom security rules. They can also do deeper investigations using Datadog's log management tools.
"Amazon Security Lake makes it easier for teams to manage their cloud security data and analyze it with partner solutions of their choice," said Rod Wallace, General Manager for Amazon Security Lake. "Datadog's integration with Amazon Security Lake will allow customers to collect their security logs to improve their cybersecurity posture and send them to Datadog for analysis leveraging an open source schema."
"Security threat detection and investigation is dependent on an effective logging strategy that ensures critical logs are being properly analyzed. However, managing dozens of log integrations from cloud-hosted accounts and entities can be cumbersome and lead to gaps in visibility," said Pierre Betouin, SVP of Security Products at Datadog. "Amazon Security Lake and Datadog are working together to provide an easy way to set up and manage important log integrations for Datadog Cloud SIEM, giving customers deep visibility into their most critical infrastructure."
To learn more about Amazon Security Lake's integration with Datadog's security offerings, please visit: https://www.datadoghq.com/blog/analyze-amazon-security-lake-logs-with-datadog. Or stop by Datadog's Cloud and Application Security booth at AWS re:Invent.
About Datadog
Datadog is the monitoring and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of 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 November 4, 2022, 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.
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