Security teams are in a difficult position: they continue wrestling with persistent problems, such as overwhelming alert volumes and staff shortages, while confronting new ones driven by the abrupt shift to remote work. For instance, attaining real-time, deep visibility into cloud environments may have been on SOC roadmaps before 2020, but the capability is now a pressing need.
Today, AWS has announced AWS Network Firewall: a new managed service that makes it easy to deploy essential network protections for Amazon Virtual Private Clouds (VPCs). As a launch partner, Splunk has worked closely with AWS to provide customers an integration to AWS Network Firewall. In today’s blog, co-authored by my esteemed colleague Anush Jayaraman, we’ll first detail the data flow architecture and your options to ingest the AWS Network Firewall data.
When you take a close look at the Continuous Diagnostics and Mitigation (CDM) function at the heart of a successful cybersecurity program, you quickly realize that it all depends on integration. It isn’t that the individual components of the program aren’t absolutely essential. But with cyber-attacks gaining in number and sophistication, the true power of CDM is in the ability to overlay multiple datasets to create a single lens for tracking, assessing, and responding to threats.
SignalFx was founded in 2013 to enable customers to gather and monitor key information for both their application code and infrastructure. The efficient metrics storage technology enables both high cardinality of metrics as well as the no-sample method of gathering every APM trace. This combination of efficiency and standardization is exposed through the SignalFlow language to allow access and manipulation of the vast amount of metric data.
AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. The rapid adoption of hybrid IT has driven the need for a more consistent and standardized availability of cloud resources and operations so IT teams can rapidly deliver services deployed either on the public cloud or on-premises.
Splunk is a machine data platform with advanced analytic capabilities that allows anyone to get valuable insights from their data. With unlimited use cases, you can leverage SPL to run any analytics you want. SPL has been supporting native machine learning capabilities for some time now. All you have to do is install the Splunk Machine Learning Toolkit (MLTK) and you are good to start predicting !
Application performance monitoring is vital for keeping software and gaming companies at a level above with providing effective data and cloud usage for applications, software, and platforms for their employees and customers. The rise of remote working has coincided with a boom in streaming, gaming, and other virtual activities. This has led to increased usability, and performance management challenges for gaming and software organizations.
As Denmark’s largest power, utility and telecommunications company servicing 1.5 million customers, Norlys understands the need for fast response to security alerts. When the company first started, the Norlys security team built their own log analytics and incident response capabilities from the ground up. This homegrown approach presented challenges, including manual workflows, too many repetitive tasks and difficult-to-maintain processes.
What is the benefit of combining the power of Data Stream Processor (DSP) and Splunk Phantom? I will give you a hint - the answer involves speed and extensibility. In today's security landscape, speed to detect and mitigate security attacks or outages is of the utmost importance. A slow response to a security incident can have a detrimental impact to your organization's bottom line.
