Operations | Monitoring | ITSM | DevOps | Cloud

Azure Active Directory (Azure AD) is Microsoft’s multi-tenant, cloud-based Identity and Access Management (IAM) service. It takes care of authentication and authorization of user and application identities.

With the rising tide of data breach awareness, your senior leadership is asking you to mitigate cybersecurity risk with security analytics. You’ve built up the use cases and started researching different platforms. Then, you realized: you’re not sure you have the budget. The typical security analytics platforms come with upfront technology costs as well as the “hidden fees” associated with training your team members. You know you need to use analytics to help mitigate risk.

On March 29, 2022, a critical vulnerability targeting the Spring Java framework was disclosed by VMware. This severe vulnerability is identified as a separate vulnerability inside Spring Core, tracked as CVE-2022-22965 and canonically named “Spring4Shell” or “SpringShell”, leveraging class injection leading to a full remote code execution (RCE).

Since 2018, General Data Protection Regulation (GDPR) has been on everyone’s lips – and for good reason. It’s the gold standard for consumer protection. While privacy laws present challenges to enterprises big and small, we can’t escape the reality that consumer data is constantly mined and sold.

Gartner recently released a report highlighting the top trends in cybersecurity for 2022. They discuss how businesses must reframe their security practices, rethink their technology, and adopt new responses to modern threats. This is in line with DevSecOps trends that we see in the market and hear about from our customers. Companies that are working in this way are taking a more holistic approach to cybersecurity by adopting tools that speed up and, when possible, automate security.

It’s impossible to ignore AWS as a major player in the public cloud space. With $13.5billion in revenue in the first quarter of 2021 alone, Amazon’s biggest earner is ubiquitous in the technology world. Its success can be attributed to the wide variety of services available, which are rapidly developed to match industry trends and requirements.

It’s common sense. When a logstorm hits, you don’t want to be left scrambling to find the one engineer from each team in your organization that actually understands the logging system – then spending even more time mapping the logging format of each team with the formats of every other team, all before you can begin to respond to the incident at hand. It’s a model that simply won’t scale.

Source-side queueing is a fancy way of saying: You can configure Cribl products to make sure data isn’t lost in the event of downstream backpressure, again. Those familiar with Cribl Stream might be aware of destination queuing or persistent queuing, wherein Stream can write data to the local disk in the event of an issue reaching the destination. Maybe your SIEM is suffering from disk I/O latency. Maybe there is a DNS problem with your load balancer (Hint: It’s always DNS).