Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

IT risk management and cybersecurity are two essential practices that define the effectiveness and security structure of modern organizations. IT risk management is the process of managing and mitigating risks via careful planning, specialized systems, guidelines, policies, and decisions across various sectors, not just cybersecurity. With IT risk management, the IT staff is focused entirely on IT risk mitigation.

47% of customers prefer web pages that load within 2 seconds. Not only do they expect, but 40% of visitors will also leave your site if it takes more than 3 seconds to load. This makes using the right Content Delivery Network more critical for your startup. It helps to achieve quick and secure content delivery. In the market for a CDN Service? Check out these factors before choosing your CDN service provider.

Enterprises have benefited from encapsulating applications into lightweight, independent units called microservices. By adopting an architectural pattern of loosely coupled and independently deployed services, microservices can rapidly deliver complex applications at scale without the typical technical debt of legacy applications.

First, as not all data is automatically considered to be Large type data, let’s define what “Large Data” is and what makes it “big” before moving on to a more in-depth examination of Large Data analytics. The term “Big Data” describes large quantities of data of any form, including but not limited to the three forms : structured, unstructured, and semi-structured. Such data sets are constantly being produced at a high rate and in a considerable quantity.

As companies grow, they constantly face problems that pose a great risk to it and in some cases the economy itself. With data breaches and data leakages becoming a norm in today’s world, companies are forced to step up to the plate and face the heat. What these companies fail to understand is the fact that there are no exceptions when it comes to malfunctions and insider threats.

Across the globe, we are all now always connected. People now share, upload, and download information from their phones or computers. Cloud-based storage has become incredibly popular because everything is accessible. And with multiple devices synced, you'll never have to worry about forgetting a file again. However, it's not without risks. If someone gets access to your account credentials, they could potentially view all your data stored in the cloud.

In the cloud, securing identities and workloads is both paramount and complex. Inventories of AWS customer security breaches help us learn from publicly disclosed incidents—but until now, not much concrete data has been shared around the usage of security mechanisms that could have helped prevent these incidents. For this report, we examined real-world data from a sample of more than 600 organizations and thousands of AWS accounts that use the Datadog Cloud Security Platform.