Amazon Security Lake allows customers to build security data lakes from integrated cloud and on-premises data sources as well as from their private applications. Directing your security telemetry into a unified data lake makes it easier to manage, analyze, and route security-log and event data to third-party SIEM solutions that leverage that telemetry.

Investigating the origin of activity in cloud-native infrastructure—and understanding which activity is a potential threat—can be a challenging, time-consuming task for organizations. Cloud environments are complex by nature, comprising thousands of ephemeral, interconnected resources that generate large volumes of alerts, logs, metrics, and other data at any given time.

Editor’s note: This is Part 2 of a five-part cloud security series that will cover protecting an organization’s network perimeter, endpoints, application code, sensitive data, and service and user accounts from threats.

OAuth is an authorization protocol that allows apps to securely request user data without requiring the user to enter their sensitive credentials (e.g., API keys, application keys, etc.). Datadog API-based data integrations now fully support OAuth.

Organizations are rapidly migrating their infrastructure to the cloud, enabling them to modernize their applications and deliver more value to their customers. But this transition creates significant security risks that they may be unable to keep pace with. For example, cyber attacks on cloud resources are becoming more sophisticated and prevalent. Additionally, organizations often rely on legacy, disjointed security tools that don’t integrate well with cloud-native infrastructure.

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.

Amazon Virtual Private Cloud (Amazon VPC) is an AWS service that enables you to launch AWS resources within your own virtual network. Because you can deploy VPCs in separate regions and other VPC components themselves are deployable across different Availability Zones, VPC-hosted environments tend to be highly available and more secure.

In part 1 of this series, we looked at the common components of an Amazon VPC including CIDR blocks, subnets, firewalls, and route tables. We also looked at approaches for how to configure those components securely.

The Domain Name System (DNS) is responsible for mapping client-facing domain names to their corresponding IP addresses, making it a fundamental element of the internet. DNS-level events provide valuable information about network traffic that can be used to identify malicious activity. For instance, monitoring DNS lookups can help you see whether a host on your network attempted to connect to a site known to contain malware.

In order to maintain compliance, enforce governance, and build transparency, teams across your organization need deep insight into how their users and automation interact with Datadog. For stakeholders in leadership roles, such as CIOs and CDOs, knowing what actions users took and when is essential for spotting gaps in enablement, budgeting, and reporting, as well as building a modern compliance strategy for the organization as a whole.