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By Mallory Mooney
Google Workspace is a popular productivity suite, and its broad collection of apps (such as Gmail, Drive, Calendar, and Docs) can give attackers a central point of entry for accessing sensitive and valuable data if they compromise an account. Learning how to identify malicious activity in your Workspace environment enables you to stop threats before they become more serious. In this post, we’ll look at a few ways attackers gain access to and take advantage of Google Workspace.
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By Nimisha Saxena
A primary goal for security teams is identifying specific threats to their environment, but they often face the daunting task of reviewing vast amounts of log data and alerts. Even with well-crafted detection rules, sifting through irrelevant data to pinpoint essential details for an investigation can be a significant challenge. This not only prolongs investigation times but also increases the risk of overlooking critical information.
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By Jane Wang
Confluent Cloud is a Kafka–as-a-service solution that simplifies the deployment, scaling, and operation of Kafka clusters. A popular feature is its Apache Kafka connectors, which make it easy to connect your Kafka clusters to any of 120+ third-party streaming data sources and destinations.
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By Bowen Chen
The use of version control systems, continuous integration (CI), container services, and other tools in software development have enabled developers to ship code more quickly and efficiently. However, as organizations expand their build and packaging ecosystems, they also increase the number of entry points for malicious code injections that can ultimately make their way to production environments.
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By Mallory Mooney
According to our most recent cloud security report, most cloud security incidents are the result of compromised credentials for either human or non-human identities. Once an attacker successfully controls an identity, such as a highly privileged user account, they can quickly move to other areas of an environment, including prevalent targets like sensitive data stores. This pattern of behavior is similar across all cloud platforms and services.
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By Christine Le
AWS Identity and Access Management (IAM) enables organizations to set up permissions policies for users and workloads that need access to cloud services and resources. But as your cloud environment scales, it can be challenging to create and audit IAM policies that work effectively without compromising security.
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By Thomas Sobolik
As developers increasingly adopt chain-based and agentic LLM application architectures, the threat of critical sensitive data exposures grows. LLMs are often highly privileged within their applications and related infrastructure, with access to critical data and resources, making them an alluring target for exploitation at the client side by attackers. In particular, LLM applications can be compromised to expose sensitive data via prompt injection attacks.
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By Pronoy Chaudhuri
When engineering teams move their workloads to the cloud, it’s often possible that sensitive data—such as credit card numbers, login credentials, and personally identifiable information (PII)—unintentionally moves to the cloud with them. To secure this data, avoid costly breaches, and meet GRC requirements, these teams often catalog where this data is stored and establish the right controls to limit access.
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By Vera Chan
Cisco Umbrella is a platform for monitoring and maintaining the DNS-layer security across your network. It monitors network activity and detects behavior like DNS hijacking, spoofing, and other attacks. It can then reroute or block potentially malicious requests before they reach endpoints. However, while Umbrella’s DNS-layer security blocks malicious domains, the sheer volume of DNS and proxy logs it generates can overwhelm security teams.
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By Vera Chan
Many organizations lack clear visibility into the efficiency of their security processes, making it difficult to accurately assess their security teams’ performance. Without insight into key factors like alert response speed, investigation thoroughness, and the accuracy of detection rules, teams risk operating without a clear view. This can lead to missed threats, inefficient use of resources, and an inability to improve security outcomes.
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By Datadog
Tune in to This Month in Datadog to learn about Kubernetes Active Remediation, which enables you to resolve workload issues with contextual next steps, as well as Datadog IaC Security and a trio of new features for monitoring AWS resources.
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By Datadog
In this special edition webinar you’ll hear from Ami Dave, CISO of Fanatics about how Datadog enables Fanatics to scale securely.
This Month in Datadog: New Cloud SIEM Content Packs, Anthropic integration, Metrics Volume, and more
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By Datadog
Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month, we put the Spotlight on new Cloud SIEM Content Packs..
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By Datadog
In modern dynamic environments there is a requirement to be able to quickly respond to signals and change the configuration of your applications and systems. As Datadog supports an ever widening set of customer use cases, it has become necessary to allow for updates to systems directly from Datadog's platform. In this session, host Rory McCune (Senior Advocate) will be joined by Arthur Bellal (Staff Engineer) and Paul Coignet (Software Engineer II) from the fleet automation team to discuss how Datadog approached the challenge of building out a secure remote update facility.
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By Datadog
Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog App Builder.
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By Datadog
In this video we’ll start looking at how Kubernetes handles authentication with a look at Client certificate auth.
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By Datadog
In this video we’ll continue our look at the details of how Kubernetes secures the various APIs it uses, looking at the Kubelet API.
This Month in Datadog: State of DevSecOps report, Event Management, Container Image Trends, and more
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By Datadog
Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog’s State of DevSecOps report.
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By Datadog
In this video we’ll continue our look at the details of how Kubernetes secures the various APIs it uses, looking at the main Kubernetes API server. For more information, please see our security labs blog Kubernetes security fundamentals: API Security.
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By Datadog
As Docker adoption continues to rise, many organizations have turned to orchestration platforms like ECS and Kubernetes to manage large numbers of ephemeral containers. Thousands of companies use Datadog to monitor millions of containers, which enables us to identify trends in real-world orchestration usage. We're excited to share 8 key findings of our research.
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By Datadog
The elasticity and nearly infinite scalability of the cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived VMs or containers. This has elevated the need for new methods and new tools for monitoring. In this eBook, we outline an effective framework for monitoring modern infrastructure and applications, however large or dynamic they may be.
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By Datadog
Where does Docker adoption currently stand and how has it changed? With thousands of companies using Datadog to track their infrastructure, we can see software trends emerging in real time. We're excited to share what we can see about true Docker adoption.
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By Datadog
Build an effective framework for monitoring AWS infrastructure and applications, however large or dynamic they may be. The elasticity and nearly infinite scalability of the AWS cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived components. This has elevated the need for new methods and new tools for monitoring.
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By Datadog
Like a car, Elasticsearch was designed to allow you to get up and running quickly, without having to understand all of its inner workings. However, it's only a matter of time before you run into engine trouble here or there. This guide explains how to address five common Elasticsearch challenges.
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By Datadog
Monitoring Kubernetes requires you to rethink your monitoring strategies, especially if you are used to monitoring traditional hosts such as VMs or physical machines. This guide prepares you to effectively approach Kubernetes monitoring in light of its significant operational differences.
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Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
See it all in one place:
- See across systems, apps, and services: With turn-key integrations, Datadog seamlessly aggregates metrics and events across the full devops stack.
- Get full visibility into modern applications: Monitor, troubleshoot, and optimize application performance.
- Analyze and explore log data in context: Quickly search, filter, and analyze your logs for troubleshooting and open-ended exploration of your data.
- Build real-time interactive dashboards: More than summary dashboards, Datadog offers all high-resolution metrics and events for manipulation and graphing.
- Get alerted on critical issues: Datadog notifies you of performance problems, whether they affect a single host or a massive cluster.
Modern monitoring & analytics. See inside any stack, any app, at any scale, anywhere.
- AIOps
- Alerts
- Application Security
- Cloud Monitoring
- Container Monitoring
- Dashboards
- Database Monitoring
- Distributed Tracing
- Incident Response
- Infrastructure Monitoring
- Log Analytics
- Performance Monitoring
- Profiling
- SIEM
- Server Monitoring
- Serverless Monitoring
- Synthetic Monitoring
- Threat Detection
- Website Monitoring
- Alternatives to Datadog