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Datadog Announces General Availability of Security Monitoring

Datadog announced the general availability of Security Monitoring, a new product that breaks down silos between security, developers, and operations teams.

With this new product, Datadog extends its monitoring and analytics platform to security engineers in addition to developers and IT operations teams.

Datadog’s Security Monitoring combines and analyzes traditional security signals with performance and environment data from applications to provide unique real-time insights. This allows the security, dev and ops teams to rapidly identify security issues, pinpoint the affected system and perform remediation quickly.

The key features of this new offering include:

- Unified observability and security: By combining data from traditional security logs with over 400 integrations that bring in performance metrics, traces, environment information and more, Security Monitoring detects threats quickly and provides detailed context to pinpoint affected systems

- Real-time, out-of-the-box threat detection: With turn-key threat Detection Rules to flag attacker techniques and misconfigurations, teams can immediately improve their security posture

- Cost-effective data ingestion and analysis: Security Monitoring detects threats in real time across the full stream of ingested data at a fraction of the cost of traditional solutions

- Simple, customizable rule-editing: Anyone can customize out-of-the-box Detection Rules or write their own without needing to learn a proprietary query language

- Powerful, context-rich Security Signals: Datadog retains security signals for 15 months, so teams can easily correlate them and identify trends over time, quickly filter signals by attributes like the MITRE ATT&CK® technique or any associated entities, and seamlessly pivot to other areas of Datadog for further investigation

“Given their complexity and velocity, security teams are looking to partner with developers and operations teams to secure dynamic cloud environments,” said Marc Tremsal, Director of Product Management at Datadog. “We’ve built Datadog Security Monitoring to enable all engineers to cost-effectively analyze detailed observability data for potential threats, and easily collaborate during investigations.”

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Datadog Announces General Availability of Security Monitoring

Datadog announced the general availability of Security Monitoring, a new product that breaks down silos between security, developers, and operations teams.

With this new product, Datadog extends its monitoring and analytics platform to security engineers in addition to developers and IT operations teams.

Datadog’s Security Monitoring combines and analyzes traditional security signals with performance and environment data from applications to provide unique real-time insights. This allows the security, dev and ops teams to rapidly identify security issues, pinpoint the affected system and perform remediation quickly.

The key features of this new offering include:

- Unified observability and security: By combining data from traditional security logs with over 400 integrations that bring in performance metrics, traces, environment information and more, Security Monitoring detects threats quickly and provides detailed context to pinpoint affected systems

- Real-time, out-of-the-box threat detection: With turn-key threat Detection Rules to flag attacker techniques and misconfigurations, teams can immediately improve their security posture

- Cost-effective data ingestion and analysis: Security Monitoring detects threats in real time across the full stream of ingested data at a fraction of the cost of traditional solutions

- Simple, customizable rule-editing: Anyone can customize out-of-the-box Detection Rules or write their own without needing to learn a proprietary query language

- Powerful, context-rich Security Signals: Datadog retains security signals for 15 months, so teams can easily correlate them and identify trends over time, quickly filter signals by attributes like the MITRE ATT&CK® technique or any associated entities, and seamlessly pivot to other areas of Datadog for further investigation

“Given their complexity and velocity, security teams are looking to partner with developers and operations teams to secure dynamic cloud environments,” said Marc Tremsal, Director of Product Management at Datadog. “We’ve built Datadog Security Monitoring to enable all engineers to cost-effectively analyze detailed observability data for potential threats, and easily collaborate during investigations.”

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A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...