Attackers (i.e., threat actors) often reuse techniques or resources, such as IP addresses, hashes, and domains, in multiple attempts to find and exploit vulnerabilities in your systems. Defenders can categorize this data as indicators of compromise (IOCs) and create collections of IOCs in order to look out for potential attacks. These IOC collections are known as threat intelligence.
To enhance and automate your vulnerability analysis, we’re excited to launch the Datadog Vulnerability Analysis GitHub Action. The action enables easy integration between your application, Datadog Continuous Profiler, and Snyk’s vulnerability database to provide actionable security heuristics. The action can be installed directly from the GitHub Marketplace, and does not require you to manage any additional scripts or infrastructure.
Securing access to business resources has always been of high priority for admins and IT teams. In the wake of the pandemic, workforces are more distributed than ever before, and 76 percent of global office workers state that they would like to work from home even when the pandemic is over.
We are about to enter the most wonderful time of the year. As consumers increasingly turn towards online and mobile commerce, are you confident in your card-not-present fraud detection capabilities? 2020 has been a year of great surprise and change. While the global health pandemic has changed how we physically interact with each other, it has also revolutionized how we shop.
From containerized workloads to microservice architectures, developers are rapidly adopting new technology that allows organizations to scale their products at unprecedented rates. In order to make sense of these complex deployments, many teams are abstracting applications away from the environments in which they run. Because of this trade-off, developers and security teams lose the access to the unified context from infrastructure to application needed to fully secure their services.
