Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security analysts face unprecedented challenges in today's cloud landscape. Security operations center (SOC) teams are chronically understaffed, and cybersecurity threats are skyrocketing—further intensified by GenAI-driven attacks. High false positive rates add to this strain, fueling alert fatigue and delaying the detection of real threats. These hurdles make it harder for analysts to keep pace, which ultimately drives up mean time to resolution (MTTR).

Organizations rely on best-in-class solutions for observability and security, and various teams within an organization often have preferences for different platforms. For example, your security team may use a SIEM platform like Microsoft Sentinel and Google Security Operations (SecOps) to detect and investigate threats, while your DevOps teams use Datadog Log Management for real-time troubleshooting and monitoring.

The shared responsibility model, introduced by AWS in 2011, defines the division of cloud security responsibilities between cloud providers and customers. Cloud providers are responsible for securing their physical infrastructure, while customers are responsible for securing their own data, configurations, and access. Cloud environments have grown and become much more complex since 2011.

Amazon Simple Email Service (Amazon SES) is a cloud-based provider for sending transactional, marketing, and newsletter emails. Because of its role as a source of communication for organizations, Amazon SES has become a primary tool for phishing campaigns. Our latest threat roundup includes a key finding that Amazon SES is a common target in the initial stages of a cloud control plane attack.

One of the primary challenges with developing in the cloud is knowing which areas of your environment are vulnerable to risks. In order to efficiently identify and respond to legitimate risks, you need real-time visibility into security events. But traditional security platforms are costly and often standalone, which means they may create gaps in visibility.

Risk assessment requires context. One of the primary challenges with protecting cloud environments is understanding how certain activity can lead to risk. Risky behavior can be categorized as any activity or action that increases the likelihood of an attack in your cloud environment. While certain activity may not be malicious on its own, it can expand an environment’s attack surface or indicate post-compromise behavior.

Log management becomes more challenging as both log volume and diversity rapidly grow. Yet many companies still rely on legacy log management and SIEM solutions that aren’t designed to cost-effectively or securely handle the large scale of logs today coming from sources both in the cloud and on premises.