How We Secured a Leading SaaS CRM: Unmasking Exposed Docker Images with ASM
A $100M revenue SaaS CRM company discovered critical exposed Docker images containing sensitive financial data through Strobes ASM.
The Challenge
Hidden Vulnerabilities in a Complex Environment
Despite a strong security system, the client faced challenges managing their complex digital environment. The growing threat of cyberattacks meant vulnerabilities could be missed. Human error and misconfigurations were potential risks.
During a routine scan, the ASM system identified a critical anomaly: an exposed Docker image containing sensitive financial data.
The Solution
AI-Powered Attack Surface Management
Strobes ASM deployed an automated, AI-powered approach to identify, assess, and prioritize exposed assets.
Automated Discovery
Utilized keyword permutations to systematically search Internet repositories for publicly exposed Docker images.
AI-powered Risk Assessment
Analyzed content of identified images by executing pre-defined commands within the container.
LLM Analysis
AI-powered LLM analyzed extracted data, assessing the risk level associated with each image.
Prioritized Response
Based on the LLM's confidence score, the ASM platform prioritized critical vulnerabilities for immediate action.
“The ASM system identified a critical anomaly that traditional scanning had missed: an exposed Docker image containing sensitive financial data.”
Benefits and Outcomes
Early Threat Detection
Continuous monitoring through ASM allows for early identification and mitigation of vulnerabilities.
AI-Powered Prioritization
Leveraged AI to prioritize critical threats based on objective risk scoring.
Swift Response
Automated notifications and streamlined processes facilitated rapid response to vulnerabilities.
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