Datadog Rolls Out Cloud Security Platform with Observability Capabilities

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Datadog has recently announced the rollout of its Datadog Cloud Security Platform. This new product by Datadog offers organizations to use a single platform to correlate security insights with monitoring data over infrastructure, network, and applications tiers.

Photo Amit Agarwal, Chief Product Officer, Datadog
“Built for cloud scale, the Datadog Cloud Security Platform supports organizations in adopting a modern DevSecOps practice that will enable a more holistic and, ultimately, a more robust approach to security,” said Amit Agarwal, Chief Product Officer, Datadog.

It will deliver visibility to security teams that are required to understand and respond to potential threats quickly. Security attacks have moved their focus to the application level in recent years, making the Security and DevOps teams work more efficiently and induce security in the complete software development cycle, stated Datadog. Regularly, this has been a bit complicated because of the isolated processes and tools. The situation worsened when companies started moving to cloud and security teams and soared even less visibility.

The Cloud Security Platform by Datadog addresses most of the challenges by allowing Security and DevOps teams to use a shared source of truth supported by a common data model. With the help of Datadog, security leaders can also access the underlying infrastructure, application data, and network at the time of an attack. The deeper insights allow them to get highly accurate threat detection and accelerated incident response. The approach used by Datadog’s product makes sure that the data is automatically correlated and present in context, without the need for any manual analysis.

Key features of Datadog Cloud Security Platform include:

Unified Observability and Security Reporting – This enables seamless pivots between security insights and DevOps telemetry. This Unified experience makes security teams understand the operational and business impact of security incidents in a better way. It also allows DevOps teams to see security signals alongside the metrics, logs, and traces of their services.

Security Monitoring – It identifies the threats to your cloud environments by analyzing the security and operational logs. Just like an easy-to-use cloud-native SIEM, Security Monitoring would offer “one-of-a-kind” security integrations and threat detection rules that are easy to customize and expand.

Cloud Security Posture Management (CSPM) – It would make it easy to track compliance of the production environment with the industry standards like PCI DSS, HIPAA, and, SOC 2. It identifies the misconfiguration that leaves an organization vulnerable to potential attacks.

Application Security – It is currently in beta development stage and still provides protection against application-level threats by identifying and blocking attacks that majorly focus on code-level vulnerabilities, such as SQL injections and cross-site scripting (XSS) exploits.

Cloud Workload Security (CWS) – It detects threats to the production workloads by keeping a check on file and process activity over an organization’s environment that aids in catching infrastructure and host-based attacks.

Talking about Datadog, it is a security and monitoring platform for cloud applications. The SaaS platform automates and integrates infrastructure monitoring, log management, application performance monitoring to provide real-time, unified observability of their clients.

“As organizations embark on their digital transformation journey, unifying once disparate security, compliance and engineering practices has become a key requirement to deliver best-in-class customer experiences,” said Amit Agarwal, Chief Product Officer, Datadog. “Built for cloud scale, the Datadog Cloud Security Platform supports organizations in adopting a modern DevSecOps practice that will enable a more holistic and, ultimately, a more robust approach to security, without increasing the operational burden of deploying and maintaining multiple, disconnected point solutions.”

Datadog

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