If your organization is large enough to have an information security manager or an entire security team, then it’s likely that any security issue or task will be pushed in their direction. That’s why you hired them, isn’t it?
Security is a specialized area of IT and it requires specific skills for a holistic approach. It is also a moving target with many components and attack vectors across your technology stack. A dedicated security team or individual, whether in-house or contracted, can therefore be valuable. But security must be a shared responsibility among every user, no matter their role.
There’s an inherent problem here and its name is Diffusion of Responsibility. When everyone has a stake in security and there are dedicated managers to boot, users could be more likely to engage in risky behavior. After all, it’s taken care of! That’s why we hired that security guy.
It might feel like DevOps is eating the world, but there’s still room for other innovations within and adjacent to IT operations. One such example is the DataOps movement. The general inspiration behind DataOps is similar to DevOps in that is strives to provide higher quality deliverables from shorter cycles by leveraging technology and specific methodologies around it.
DataOps does not boil down to DevOps principles applied to data analytics, however. While both approaches may embrace automation, continuous improvement, and strong communication between departments, DataOps is less of an infinite cycle and more of an injection of agility into a one-way data pipeline.
Let’s explore the roles, strategies, and technologies at play in a DataOps approach to analytics.
A fundamental building block for your successful adoption of cloud services is the organizational hierarchy, a mode of organizing your cloud services, resources, and virtual machines in such a way that you ensure cloud governance and can better resolve billing within your organization.
Cloud governance is the answer to common questions like:
• “How do I keep my data compliant with industry regulations?”
• “How can I implement chargeback within my organization so I know which departments are consuming cloud services and account for that usage?”
• “How can I mandate security and access measures across our cloud environment?”
By implementing a flexible set of controls and overall organizational hierarchy within Azure, you can enable adoption of the cloud services your business units require and avoid shadow cloud use. A well-designed enterprise cloud environment can accommodate modern agile practices alongside traditional workloads.
Here’s how to structure your organizational hierarchy within Azure so you can set governance requirements and encourage speed of delivery for your individual departments and business units.
Whether you use Microsoft Hyper-V or VMware vSphere as your hypervisor, Beekeeper patching automation can help manage the VMs before and after patching. VM validations include:
You can add these validations to your patching process so you are automatically covered when it comes to compliance and VM configuration even after applying patches. Automating these processes is Beekeeper's specialty.
There are two main categories of application security testing: dynamic and static. They can be thought of as testing from the outside-in and from the inside-out, respectively.
Dynamic testing is performed as an application is running and focuses on simulating how an outside attacker might access that application and associated systems. Static testing, on the other hand, examines the code itself and related documentation, often throughout the actual development process, to try and discover potential vulnerabilities before the application reaches production.
Should you use DAST or SAST for your applications? In truth it is not an either/or situation, as DAST and SAST are complementary and evolved indivually. First let's take a look at the key differences between them.