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Security

The latest News and Information on CyberSecurity for Applications, Services and Infrastructure, and related technologies.

Better Tools = Better Monitoring

Everyone loves tools. Whether you’re a weekend craftsman, an aspiring chef, or a serious IT professional, the tools you use can make your tasks much easier. Monitoring tools in IT are mainstays when it comes to keeping an eye on network infrastructure and enforcing company security policies. But just like anything in life, not all monitoring tools are built equally—in fact, many can harm your ability to respond to emerging issues within your network.

Understanding The AWS Shared Security Model

Whether you are new to AWS or have been to every re:Invent since 2012 you may have questions about cloud security and how it impacts your valuable technology and data. In particular, you might be wondering where AWS’s security responsibilities end and where yours begin? Which parts of the cloud can you rely on Amazon’s security team and technology to keep safe and which parts must you take care of?

Splunk SOAR Playbooks: Suspicious Email Domain Enrichment

Despite the myriad pathways to initial access on our networks, phishing remains the single most popular technique for attackers. The open nature of email and our reliance on it for communication make it difficult for defenders to classify messages, so it is no surprise that suspicious email investigation is a top use case for automation. Today, we are releasing a new community playbook for Splunk SOAR (previously Splunk Phantom) to help enrich suspicious email events.

Detect application abuse and fraud with Datadog

Protecting your applications from abuse of functionality requires understanding which application features and workflows may be misused as well as the ability to quickly identify potential threats to your services. This visibility is particularly critical in cases where an adversary finds and exploits a vulnerability—such as inadequate authentication controls—to commit fraud.

Datadog on Security and Compliance

At Datadog, customer trust and data security are of the utmost importance. As a high growth company, navigating the tradeoffs of security and development agility are especially critical. Our customers expect us to continually improve our platform, while providing a compliant, secure environment for their most critical data. Balance is key to rolling out features rapidly and keeping systems secure.

Perspectives from the federal public sector: Enable mission success with Elastic

After a year of accelerated change in the federal industry, the Federal Public Sector event focused on the progress you’ve made, the trends demanding your attention, and the Elastic capabilities that continue to guide federal agencies, offices, and departments towards a search-enabled future. With a theme of Accelerate the mission.

Securing AWS Fargate workloads: Meeting File Integrity Monitoring (FIM) requirements

Securing AWS Fargate serverless workloads can be tricky as AWS does not provide much detail about the internal workings. After all… it’s not your business, AWS manages the scaling of underlying resources for you. :) While the security and stability of Fargate’s system is an inherent feature, Fargate follows a shared responsibility model, where you still have to take care of securing those parts specific to your application..

AWS Fargate runtime security - Implementing File Integrity Monitoring with Sysdig

Thanks to serverless you can focus on your apps, instead of your infrastructure. Take AWS Fargate as an example. A service where you can deploy containers as Tasks, without worrying what physical machine they run on. However, without access to the host How can you detect suspicious activity? Like, file changes on your Fargate tasks? Sysdig provides runtime detection and response to secure Fargate serverless containers.

Dynamic Service Graph | Tigera - Long

Downtime is expensive and applications are a challenge to troubleshoot across a dynamic, distributed environment consisting of Kubernetes clusters. While development teams and service owners typically understand the microservices they are deploying, it’s often difficult to get a complete, shared view of dependencies and how all the services are communicating with each other across a cluster. Limited observability makes it extremely difficult to troubleshoot end-to-end connectivity issues which can impact application deployment.