Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Snowflake is a fully managed data platform that enables users to store, process, and analyze large volumes of data across their cloud environments. Recently, Datadog’s Security Research Team posted a threat hunting guide to help defenders ensure the security of their Snowflake instances.

APIs can be vulnerable to a wide variety of attacks, such as poor inventory management and access controls, making them a primary target for attackers. Server-side request forgery (SSRF) is one type of attack that has become more prominent with the rising use of public clouds. This is primarily due to new development practices like using Instance Metadata Services (IMDS) to access valuable information about deployed instances, such as credentials.

Cloud security teams are faced with an ever-increasing number of challenges. Attackers are focusing on more cloud-native attacks than ever. Meanwhile, the number of cloud service offerings—and by extension, the number of misconfigurations in them—is only growing. And there is always the risk that a sophisticated adversary could abuse a vulnerability in a cloud service provider to target cloud customers.

Every security engineer has experienced this issue: after spending a lot of time creating a new SIEM alert to catch malicious behavior, you deploy it, only to find there are over 100 service accounts triggering false positives. Your SIEM is suddenly flooded with false alerts, and your team is overwhelmed as a result. You then spend hours or even days investigating these alerts and fixing your detection rule, hoping it will work better next time.

Managing dynamic cloud environments is an ongoing challenge for organizations as they scale and innovate. Protecting assets, data, and reputations is more important than ever, yet detecting insider threats, compromised accounts, and unusual behavior in an environment remains complex. Traditional SIEM solutions often focus on reactive, event-driven insights, but to meet today’s evolving needs, many teams are embracing proactive approaches like user and entity behavior analytics (UEBA).

With the alarming number of data breaches and vulnerabilities today, security is now a primary concern for organizations and their customers, but knowing how to efficiently develop and scale secure applications is still a problem. Tackling this challenge requires considering the potential security risks of a new feature or service much earlier in the development cycle, an idea that is foundational to the Secure by Design approach.

The Domain Name System (DNS) translates domain names (e.g., datadoghq.com) into IP addresses via a process called DNS resolution. This translation facilitates all kinds of network communication, from enabling web browsers to connect to a desired page without requiring users to remember IP addresses, to internal communication across private infrastructure, such as Kubernetes environments.

AWS WAF is a managed web application firewall that monitors network traffic to your AWS applications and resources. As a perimeter-based firewall, AWS WAF is designed to secure the boundaries between your applications and the public internet. This means that it’s capable of protecting all of the various elements of your AWS architecture, including Amazon API Gateways, load balancers, and Amazon CloudFront distributions.