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As adversaries leverage AI to accelerate cloud attacks, traditional security tools that rely on batch processing logs are often too slow to respond. CrowdStrike has unveiled major innovations to its Cloud Detection and Response (CDR) capabilities, designed to stop threats in seconds. Built on a new real-time detection engine using streaming technology, expanded Cloud Indicators of Attack (IOAs), and automated response workflows, these enhancements aim to eliminate detection latency and give security teams the speed needed to halt cloud breaches at the onset.
CrowdStrike launches real-time Cloud Detection and Response (CDR) innovations.
A new streaming detection engine surfaces high-fidelity alerts in seconds, not minutes.
Expanded Cloud Indicators of Attack (IOAs) target stealthy adversary behavior like privilege escalation.
Automated response actions and workflows disrupt attacks without waiting for manual SOC intervention.
The technology is built on event-streaming tech hardened by CrowdStrike's threat hunters.
It addresses the speed gap where traditional log batch processing can take 15+ minutes per detection.
The core advancement is a real-time detection engine built on event streaming technology pioneered and scaled by CrowdStrike's elite threat hunting team, Falcon® Adversary OverWatch. Unlike traditional CDR that processes logs in batches—introducing delays of 15 minutes or more—this engine analyzes cloud logs as they stream in, applying detections instantly. This shift from batch to real-time processing is critical for identifying and stopping fast-moving, AI-augmented cloud attacks before they can propagate.
Elia Zaitsev, chief technology officer at CrowdStrike, emphasized the urgency: "Real-time security is the difference between stopping a breach and needing incident response – every second counts. Today’s adversary moves fast and across domains, and defenders can’t afford to waste time waiting for cloud logs to process or detections to populate. CrowdStrike’s new real-time CDR reduces response time to seconds, stopping cloud threats before they spread."
To complement the speed of the new engine, CrowdStrike has expanded its library of Cloud Indicators of Attack (IOAs). These are behavioral detections engineered specifically for cloud-native adversary tactics, such as stealthy privilege escalation or CloudShell abuse. Leveraging AI and machine learning, these IOAs correlate live activity with rich cloud asset and identity context to expose advanced, multi-stage attacks that might otherwise go unnoticed by rule-based tools.
Recognizing that speed of detection is futile without speed of response, CrowdStrike has integrated automated response actions and customizable workflows via Falcon® Fusion SOAR. These workflows trigger the instant a threat is detected, enabling automated actions to disrupt an adversary's activity—such as isolating a compromised workload or revoking a suspicious identity token—without waiting for manual Security Operations Center (SOC) intervention. This closes the critical gap between Cloud Workload Protection (runtime) and Cloud Security Posture Management (configuration).
These innovations represent a significant evolution in cloud security, moving from a paradigm of periodic scanning and delayed alerting to one of continuous, real-time threat interruption. By applying the principles of real-time streaming analytics and automation to cloud telemetry, CrowdStrike is addressing a fundamental architectural weakness in many security stacks. This approach is essential for defending modern, dynamic cloud environments where attackers operate at machine speed and every second of dwell time increases breach impact and cost.
About CrowdStrike
CrowdStrike, a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk – endpoints and cloud workloads, identity and data.
Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities.
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