Case Studies
Client Profile
The client is a major player in digital transformation, generating $100M in revenue. Their cloud-agnostic AI and machine learning platforms offer a suite of modular SaaS solutions known for their ease of use and integration. They cater to various industries including finance, media, and pharma, offering functionalities across sales, onboarding, servicing, and cross-selling.
The client is a major player in digital transformation, generating $100M in revenue. Their cloud-agnostic AI and machine learning platforms offer a suite of modular SaaS solutions known for their ease of use and integration. They cater to various industries including finance, media, and pharma, offering functionalities across sales, onboarding, servicing, and cross-selling.
Challenges
Despite a strong security system, the client faced challenges. Managing their complex digital environment and the growing threat of cyberattacks meant vulnerabilities could be missed. Human error and misconfigurations were potential risks.
The Discovery
During a routine scan, the ASM system identified a critical anomaly: an exposed Docker image containing sensitive financial data.
Our Solution
- Automated Discovery
Utilizes keyword permutations to systematically search various Internet repositories for publicly exposed Docker images associated with the organization. - AI-powered Risk Assessment
Analyzes the content of identified images by executing pre- defined commands within the container. - Large Language Model (LLM) Analysis
An AI-powered LLM analyzes the extracted data from the commands, assessing the risk level associated with the image. - Prioritized Response
Based on the LLM’s confidence score, the ASM platform prioritizes critical vulnerabilities.Â
Outcome
Early Threat Detection: Continuous monitoring through ASM allows for early identification and mitigation of vulnerabilities, preventing potential security breaches.
AI-Powered Prioritization: Leverage AI to prioritize critical threats based on objective risk scoring, ensuring efficient use of security resources.
Swift Response: Automated notifications and streamlined processes facilitate a swift response to identified vulnerabilities, minimizing the window of opportunity for attackers.
