What Is ARMO Behavioral CADR?

Mar 20, 2025

Oshrat Nir
Head of Product Marketing

As organizations increasingly adopt cloud-native architectures, they face a sprawling attack surface with novel threats that traditional security measures struggle to manage. ARMO’s Behavioral Cloud Application Detection and Response (CADR) offers the precise solution to these problems. It is designed to address the complexities and challenges of securing cloud-native applications in runtime. ARMO CADR offers a holistic approach that ignores organizational silos in the same way an attacker would, because attacks in the cloud are rarely single-dimensional.

The Evolution of Cloud-Native Security

The transition to cloud-native applications has introduced new cybersecurity challenges. Traditional static monoliths have been replaced by containerized services deployed across numerous surfaces. This transformation creates a tightly bound relationship between applications and infrastructure. Resulting in an expanded attack surface, pushing the different security teams to their limits. Security operations teams find themselves grappling with fragmented alerts from multiple tools. Tools built to target different teams that provide only a partial view of potential threats.

In this new reality, DevSecOps teams are using Cloud-Native Application Protection Platforms (CNAPP), Endpoint Detection and Response (EDR), and Cloud Workload Protection Platforms (CWPP). While Cloud Security teams are relying on Cloud Security Posture Management (CSPM) and Cloud Detection and Response (CDR) tools. Meanwhile, Application Security teams are utilizing Runtime Application Self-Protection (RASP) and Web Application Firewalls (WAF). Each of these tools and teams contributes just a piece of the puzzle. This leads to triggering multiple alerts for a single incident at one extreme or missing incidents altogether at the other.

This fragmented approach leaves SecOps teams struggling to piece together coherent attack stories. They must coordinate with multiple teams to gather information from disparate systems, all while trying to understand what’s happening. By the time they verify anomalous behavior, the attacker may have already moved on to take advantage of the next weakness. This scenario underscores the urgent need for a unified security solution that provides comprehensive, real-time insights across the entire cloud-native stack, enabling teams to respond swiftly and effectively to modern threats.

Introducing ARMO Behavioral CADR

ARMO CADR is designed to overcome these challenges by providing a unified detection and response platform. It combines multiple detection methods, including cloud API events, Kubernetes API events, operating system-level events, container and workload events, and application-level “in-code” insights. This multilayered approach empowers security teams to gain broader detection capabilities, better explainability and traceability of security incidents, with a low rate of false positives. They can easily pinpoint the root cause of security incidents with clear explainability, and respond swiftly and efficiently to threats.

Key Features of ARMO Behavioral CADR

Behavioral-Based Anomaly Detection: ARMO CADR leverages eBPF technology to establish a baseline of normal application behavior. By continuously comparing runtime behavior with this baseline, it identifies anomalous behavior that indicates potential threats. This approach delivers exceptional accuracy in threat detection, minimizing false positives, and ensuring that security incidents are flagged promptly. ARMO CADR also provides Application Call Stack Level Visibility by connecting application behavior with network traffic and infrastructure data, enabling immediate identification of emerging threats. This reduces Mean Time to Detection (MTTD) and Mean Time to Response (MTTR), thus minimizing the impact and potential downtime of security incidents.

Contextual Awareness and Code-to-cloud Traceability: ARMO CADR creates a comprehensive attack story by enriching eBPF data with contextual insights from applications, containers, and cloud infrastructure. This enables Code-to-Cloud Explainability by tracing security signals across the stack. This level of traceability enables quick decision-making. Delivering detailed attack narratives, and mapping out the full scope of an incident across code, containers, clusters, and cloud resources also simplifies cross-team communication.

Advanced Response Capabilities and Automated Mitigation: ARMO CADR enables proactive threat management. Users can define runtime policies that trigger automatic actions to contain or mitigate security threats, without manual intervention. Response options include Notify, Pause, Stop, Kill, or the unique “Soft Quarantine”, which secures suspicious processes or containers without affecting critical production environments. The system also offers Blast Radius Analysis, visualizing the affected resources and interrelationships to help prioritize response actions and prevent further escalation. This combination of automated, context-aware responses contributes to overall system security and compliance while reducing response times.

Why Behavioral CADR Matters

Modern cloud security requires ARMO Behavioral CADR. Traditional security stacks were not built for securing cloud-native applications and the infrastructure they run on. They often resemble a patchwork of disconnected solutions, each built for a different team with different goals. Thus, providing questionable results based on varying integration and visibility, not to mention, no explainability. ARMO CADR solves this problem by providing complete and explainable attack stories from code-to-cloud and reducing the friction between all security stakeholders. It provides comprehensive protection for today’s applications and workloads that run on dynamic and short-lived cloud infrastructure, by combining advanced detection methods and sensors. This unified approach offers continuous, real-time threat detection, adapting quickly to evolving attack strategies and zero-day attacks.

Benefits of ARMO CADR

Enhanced Threat Detection: ARMO CADR’s multilayered approach increases the likelihood of identifying a wide range of attacks, including creating a single, explainable attack story, even when attacks cross between the dimensions of the 4 Cs of cloud security.

Improved Incident Response: Fast identification and full explainability of security incidents lead to quicker and more effective responses.

Reduced False Positives: ARMO CADR utilizes a combination of techniques to connect the dots between seemingly disparate alerts. Thus, minimizing alerts on a whole, as well as cutting down on the time required to coordinate between teams and build a full picture of the incident.

Streamlined Forensics: ARMO CADR facilitates comprehensive forensic analysis by providing detailed context about security incidents, even down to the call stack.

Final words

ARMO’s Behavioral CADR represents a significant advancement in cloud security, offering a holistic, explainable, and traceable attack story. By integrating diverse detection methods and leveraging behavioral analysis, ARMO CADR empowers security teams to proactively identify, investigate, and respond to attacks. As cloud-native architectures continue to evolve, behavioral CADR will become an essential tool for organizations seeking to maintain robust security while driving innovation in their cloud environments.

To learn more about how ARMO CADR can transform your cloud security strategy, book a demo.

Frequently Asked Questions: EDR/XDR and Cloud Security

Why is CADR necessary for cloud-native security?

Traditional security tools are not built for the dynamic and distributed nature of cloud-native applications. These tools often operate in silos, leading to fragmented alerts and incomplete attack stories. CADR bridges these gaps by providing a unified, explainable, and traceable approach to detecting and responding to threats across the entire cloud-native stack.

What is eBPF, and how does it enhance ARMO CADR?

eBPF (extended Berkeley Packet Filter) is a Linux kernel technology that enables efficient and secure monitoring of system behavior. ARMO CADR leverages eBPF to gain deep visibility into application behavior, network traffic, and infrastructure data, enabling real-time threat detection and response.

How does ARMO CADR improve incident response?

ARMO CADR reduces Mean Time to Detection (MTTD) and Mean Time to Response (MTTR) by providing clear, explainable attack stories and automating response actions. This enables security teams to respond swiftly and effectively to threats.

What is “Soft Quarantine”?

Soft Quarantine is a unique feature of ARMO CADR that secures suspicious processes or containers without disrupting critical production environments. It allows security teams to isolate potential threats while maintaining operational continuity.

How does ARMO CADR reduce false positives?

By combining multiple detection methods and leveraging behavioral analysis, ARMO CADR connects seemingly disparate alerts and provides a single, explainable attack story. This minimizes unnecessary alerts and reduces the time required to investigate incidents.

How does ARMO CADR support cross-team collaboration?

ARMO CADR simplifies communication between security teams by providing a unified platform with clear, explainable attack stories. This reduces friction between DevSecOps, Cloud Security, and Application Security teams, enabling better coordination and faster resolution of incidents.

Does ARMO CADR identify zero-day attacks?

Yes, ARMO CADR’s behavioral-based detection and real-time monitoring capabilities allow it to adapt quickly to evolving attack strategies, including zero-day attacks.

What makes ARMO CADR different from other cloud security tools?

Unlike traditional tools that operate in silos, ARMO CADR provides a unified, explainable, and traceable approach to cloud-native security. It combines advanced detection methods, behavioral analysis, and automated response capabilities to deliver comprehensive protection for dynamic cloud environments.