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Datadog Unveils Modern Approach to Cloud SIEM to Deliver Risk-Based Insights, Scalability, Cost Efficiency and Real-Time Detection

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Datadog (NASDAQ: DDOG) has announced a modern approach to Cloud SIEM (Security Information and Event Management) that addresses traditional SIEM challenges. The solution features risk-based insights, 15-months data retention, and security operational metrics, requiring no dedicated staff for activation. The platform leverages modern architectures and machine learning to ensure scalability, cost efficiency, and real-time threat detection.

The system includes pre-built integrations with over 30 new Content Packs added in the past six months, including partnerships with major security providers. Organizations like Lenovo, FanDuel, Carvana, and UAB are already utilizing this modern approach for improved threat detection and security investigations.

Datadog (NASDAQ: DDOG) ha annunciato un approccio moderno al Cloud SIEM (Security Information and Event Management) che affronta le sfide tradizionali del SIEM. La soluzione offre insight basati sul rischio, una retention dei dati di 15 mesi e metriche operative di sicurezza, senza necessità di personale dedicato per l'attivazione. La piattaforma sfrutta architetture moderne e machine learning per garantire scalabilità, efficienza dei costi e rilevamento delle minacce in tempo reale.

Il sistema include integrazioni predefinite con oltre 30 nuovi pacchetti di contenuti aggiunti negli ultimi sei mesi, comprese le collaborazioni con importanti fornitori di sicurezza. Organizzazioni come Lenovo, FanDuel, Carvana e UAB stanno già utilizzando questo approccio moderno per migliorare il rilevamento delle minacce e le indagini di sicurezza.

Datadog (NASDAQ: DDOG) ha anunciado un enfoque moderno para Cloud SIEM (Gestión de Información y Eventos de Seguridad) que aborda los desafíos tradicionales de SIEM. La solución presenta perspectivas basadas en riesgos, retención de datos durante 15 meses y métricas operativas de seguridad, sin requerir personal dedicado para la activación. La plataforma utiliza arquitecturas modernas y aprendizaje automático para garantizar escalabilidad, eficiencia de costos y detección de amenazas en tiempo real.

El sistema incluye integraciones preconstruidas con más de 30 nuevos Paquetes de Contenidos añadidos en los últimos seis meses, incluidas asociaciones con importantes proveedores de seguridad. Organizaciones como Lenovo, FanDuel, Carvana y UAB ya están utilizando este enfoque moderno para mejorar la detección de amenazas y las investigaciones de seguridad.

Datadog (NASDAQ: DDOG)는 전통적인 SIEM의 문제를 해결하는 클라우드 SIEM(보안 정보 및 이벤트 관리)에 대한 현대적인 접근 방식을 발표했습니다. 이 솔루션은 위험 기반 통찰력, 15개월의 데이터 보존 및 보안 운영 지표를 제공하며, 활성화를 위한 전담 인력이 필요하지 않습니다. 이 플랫폼은 현대적인 아키텍처와 머신 러닝을 활용하여 확장성, 비용 효율성 및 실시간 위협 탐지를 보장합니다.

이 시스템은 지난 6개월 동안 추가된 30개 이상의 새로운 콘텐츠 팩과의 사전 구축된 통합을 포함하고 있으며, 주요 보안 공급업체와의 파트너십도 포함되어 있습니다. Lenovo, FanDuel, Carvana 및 UAB와 같은 조직들은 이미 이 현대적인 접근 방식을 활용하여 위협 탐지 및 보안 조사를 개선하고 있습니다.

Datadog (NASDAQ: DDOG) a annoncé une approche moderne du Cloud SIEM (Gestion des informations et des événements de sécurité) qui répond aux défis traditionnels du SIEM. La solution propose des aperçus basés sur le risque, une conservation des données de 15 mois et des indicateurs opérationnels de sécurité, sans nécessiter de personnel dédié pour l'activation. La plateforme s'appuie sur des architectures modernes et l'apprentissage automatique pour garantir scalabilité, efficacité des coûts et détection des menaces en temps réel.

Le système comprend des intégrations prédéfinies avec plus de 30 nouveaux Paquets de Contenu ajoutés au cours des six derniers mois, y compris des partenariats avec des fournisseurs de sécurité majeurs. Des organisations comme Lenovo, FanDuel, Carvana et UAB utilisent déjà cette approche moderne pour améliorer la détection des menaces et les enquêtes de sécurité.

Datadog (NASDAQ: DDOG) hat einen modernen Ansatz für Cloud SIEM (Sicherheitsinformationen und Ereignismanagement) angekündigt, der traditionelle SIEM-Herausforderungen adressiert. Die Lösung bietet risikobasierte Einblicke, eine Datenaufbewahrung von 15 Monaten und betriebliche Sicherheitsmetriken, ohne dass ein dediziertes Personal für die Aktivierung erforderlich ist. Die Plattform nutzt moderne Architekturen und maschinelles Lernen, um Skalierbarkeit, Kosteneffizienz und Echtzeitbedrohungserkennung zu gewährleisten.

Das System umfasst vorgefertigte Integrationen mit über 30 neuen Inhalts-Paketen, die in den letzten sechs Monaten hinzugefügt wurden, einschließlich Partnerschaften mit führenden Sicherheitsanbietern. Organisationen wie Lenovo, FanDuel, Carvana und UAB nutzen bereits diesen modernen Ansatz, um die Bedrohungserkennung und Sicherheitsuntersuchungen zu verbessern.

Positive
  • Platform requires no dedicated staff or specialized teams, reducing operational costs
  • Offers 15-months data retention with flexible economic model
  • Added 30+ new integrations and Content Packs in past 6 months
  • Notable client adoption including Lenovo, FanDuel, and Carvana
Negative
  • None.

Insights

This significant enhancement to Datadog's Cloud SIEM offering represents a strategic pivot in the cybersecurity market. The key differentiator is the platform's ability to operate without dedicated security teams, potentially reducing operational costs by 30-50% compared to traditional SIEM solutions. The 15-month data retention policy and Flex Logs feature introduce a flexible pricing model that could drive higher adoption rates among mid-market enterprises.

The integration of risk-based insights with entity correlation and expanded coverage for cloud assets like S3 buckets and EC2 instances positions DDOG competitively against legacy SIEM providers. The addition of 30+ new integrations in six months demonstrates strong execution in expanding the platform's ecosystem. The emphasis on machine learning for threat detection and automated response capabilities addresses the critical market need for reducing false positives and alert fatigue.

This product enhancement strengthens Datadog's competitive position in the $6.5 billion SIEM market. The modern architecture approach directly addresses pain points of traditional solutions, particularly cost and complexity barriers that have SIEM adoption among smaller enterprises. Customer testimonials from major organizations like Lenovo and FanDuel validate the platform's effectiveness and could accelerate enterprise adoption.

The focus on cost efficiency and scalability aligns with current market demands for optimized security spending. This positions Datadog to potentially capture market share from legacy vendors like Splunk and IBM, particularly in the growing cloud-native segment. The product's integration with Datadog's existing observability platform creates strong cross-selling opportunities across their customer base.

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.

FAQ

What are the key features of Datadog's new Cloud SIEM solution?

Datadog's Cloud SIEM features risk-based insights, 15-months data retention, security operational metrics, and pre-built integrations with over 30 Content Packs. It requires no dedicated staff and emphasizes scalability, cost-efficiency, and real-time threat detection.

Which major companies are using Datadog's Cloud SIEM (DDOG)?

Major organizations using Datadog's Cloud SIEM include Lenovo, FanDuel, Carvana, University of Alabama at Birmingham (UAB), and Vanilla Technologies.

How long does Datadog's Cloud SIEM retain data?

Datadog's Cloud SIEM offers 15-months data retention with Flex Logs, providing a flexible economic model for threat detection capabilities.

Datadog, Inc.

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