CrowdStrike CNAPP Advances with Adversary-Informed Risk Prioritization

CrowdStrike has announced advancements in its Cloud Native Application Protection Platform (CNAPP) within Falcon Cloud Security. This aims to address critical gaps in cloud risk assessment by incorporating application layer visibility, adversary intelligence, and configuration change tracking. With cloud breaches continuing to rise, even with CNAPP adoption, this update seeks to improve proactive security measures. The new capabilities focus on understanding how applications interact with infrastructure, aligning risks with observed adversary behavior, and identifying the root cause of exposures to accelerate the remediation process. This is crucial for organizations struggling with alert fatigue and the inability to prioritize risks effectively in complex cloud environments, especially with the surge in cloud-conscious intrusions by state-nexus threat actors by 266% year-over-year in 2025.

Attack Chain

1. An attacker identifies a cloud environment with overly permissive access to a storage resource.
2. The attacker leverages publicly available tools or custom scripts to enumerate accessible cloud resources.
3. The attacker uses compromised credentials, or exploits a misconfiguration, to gain unauthorized access to the storage resource.
4. The attacker maps out application dependencies to identify critical business applications connected to the vulnerable resource using techniques aligned with threat actors like LABYRINTH CHOLLIMA or SCATTERED SPIDER.
5. The attacker exploits a vulnerability within the identified application to escalate privileges or gain unauthorized access to sensitive data.
6. The attacker moves laterally within the cloud environment, targeting other interconnected services and resources based on the application's dependencies.
7. The attacker exfiltrates sensitive data, such as customer PII or proprietary information, from the compromised application or related services.
8. The attacker attempts to persist within the environment by creating backdoors or modifying configurations, ensuring continued access for future malicious activities.

Impact

Successful exploitation of cloud misconfigurations and vulnerabilities can lead to significant data breaches, service disruptions, and financial losses. The increase in cloud-conscious intrusions by state-nexus threat actors by 266% in 2025 demonstrates the growing threat landscape. Impacted organizations could face regulatory fines, reputational damage, and loss of customer trust. The compromise of AI-driven applications could expose sensitive data to external AI services, leading to further data leaks and privacy violations.

Recommendation

• Leverage Falcon Cloud Security's Application Explorer to gain unified visibility of application dependencies and infrastructure risks, enabling a better understanding of potential attack paths.
• Utilize the Adversary Intelligence feature in Falcon Cloud Security to prioritize cloud risks based on known adversary profiles and observed techniques. This allows security teams to focus on threats most likely to target their industry and environment.
• Investigate and remediate overly permissive access configurations on storage resources identified by Falcon Cloud Security to reduce the attack surface.
• Deploy and tune the Sigma rule Detect Overly Permissive Cloud Storage Access to identify potential unauthorized access attempts.
• Monitor for unusual network activity originating from cloud applications, especially those connecting to external AI services, using network connection logs and the Detect Suspicious Outbound Connection from Cloud Application Sigma rule.
• Enable detailed logging for cloud configuration changes to facilitate investigations into the root cause of exposures and identify who made the changes.