CrowdStrike Unveils Real-Time Cloud Detection and Response Innovations

CrowdStrike is announcing new cloud detection and response (CDR) capabilities to help SOC teams reduce mean time to respond (MTTR) and strengthen protection across hybrid and multi-cloud environments. These include new Real-Time Cloud Detections in CrowdStrike Falcon® Cloud Security and Automated Cloud Response Actions.

The need for robust CDR has never been stronger: The CrowdStrike 2025 Threat Hunting Report revealed a 40% increase in cloud intrusions attributed to China-nexus adversaries, indicating cloud targeting continues to be a key focus. For example, the most common tactics, techniques, and procedures (TTPs) used by MURKY PANDA and GENESIS PANDA map to MITRE ATT&CK® framework tactics including Initial Access, Persistence, and Defense Evasion, showing how adversaries are becoming more adept at navigating cloud environments and evading detection.

Most approaches to CDR don’t address the speed of today’s threats. While adversaries move with greater speed and stealth, defenders are constrained by:

• Lagging detection and response: Reliance on slow cloud log processing creates unacceptable windows of exposure. 

• Too many signals, not enough insight: The volume and volatility of cloud telemetry make it difficult to distinguish genuine threats from background noise and allow adversaries to slip through unnoticed.

• Limited response automation: Traditional cloud workload protection (CWP) tools can block or isolate compromised instances but can’t take action across the cloud control plane, leaving defenders to perform containment manually.

The latest adversary trends demand a new approach to cloud detection and response that is real time and harnesses the power of agentic AI.

Introducing Real-Time Cloud Detection and Response

CrowdStrike is introducing new CDR capabilities to help SOC teams respond to these challenges and outpace modern adversaries. The result is a battle-tested, real-time approach to cloud defense centered around three key innovations.

Real time detection engine processes cloud logs in seconds

Falcon Cloud Security has implemented a new approach which processes cloud logs as they stream in and instantly applies detections to reduce the detection latency from minutes to seconds.¹

This approach was invented and developed by the CrowdStrike Falcon® Adversary OverWatch™ threat hunting team, which has battle-tested and refined it over the past decade to improve accuracy, scale, and performance.

By eliminating detection lag and reducing mean time to detect (MTTD) from minutes to seconds, Falcon Cloud Security removes a critical bottleneck in reducing overall MTTR and helps ensure cloud threats are detected and triaged the moment they occur.

New Real-Time Cloud Indicators of Attack Identify Cloud Threats 

CrowdStrike Falcon Cloud Security has expanded its library of out-of-the-box (OOTB) detections to identify advanced cloud-specific adversary behaviors that map to the MITRE ATT&CK® framework in real time. These detections apply deep cloud context, such as asset inventory data, to identify sophisticated threats such as privilege escalation attempts and malicious CloudShell activity the moment they occur. CrowdStrike cloud indicators of attack (IOAs) are seamlessly integrated in a unified view alongside endpoint and identity detections, enabling cross-domain case creation and threat investigations.

Automated, Cloud-native Responses Instantly Disrupt Threats

Traditional CWP solutions stop at the workload. This leaves the cloud control plane exposed — where modern attackers are increasingly focusing their efforts.

CrowdStrike closes this gap with new Automated Cloud Response Actions, which trigger the moment cloud threats are detected. Built on CrowdStrike Falcon® Fusion SOAR and tightly integrated with Real-Time Cloud Detections, these customizable, OOTB response workflows automatically disrupt adversaries targeting the cloud control plane without waiting for SOC triage and investigation.

By automating cloud-native response actions, organizations eliminate the delays adversaries depend on to establish persistence and move laterally, helping to ensure a ready response the moment a threat emerges.

The Future of Cloud Detection and Response

As adversaries move faster with the help of GenAI and blend malicious activity with legitimate cloud operations, traditional CDR tools fall behind, especially when real-time correlation between sensor telemetry and cloud control plane activity is required. Without instantaneous cloud detections, this link breaks down, delaying investigations and widening visibility gaps. 

CrowdStrike solves this challenge with real-time detections and automated cloud-native response actions to prevent adversaries from achieving their objectives in seconds. Additionally, CrowdStrike Charlotte AI™ agentic AI capabilities enable autonomous and contextualized triage and investigation so SOC teams can move from detection to long-term remediation as quickly as possible. 

Additional Resources

• Read more about this announcement in our press release.
• Learn more about CrowdStrike cloud detection and response on this product page.
• See why CrowdStrike was named a Frost Radar Leader for cloud and application runtime security.
• Get a deeper dive with this CrowdCast into how CrowdStrike brings Agentic AI to CDR.

¹ Results are from detection and response workflows in AWS environments. Performance may vary based on customer configuration and cloud platform.