Vehiqilla's #FleetSOC is a centralized security platform built to monitor and protect the full connected fleet environment including vehicles, backend systems, charging infrastructure, sensors, and cloud services. It is designed to ingest data from multiple fleet-connected sources, normalize it, and continuously analyze it for security threats across the entire operational ecosystem.
At a functional level, the platform connects directly to fleet data sources through configurable connectors. These include systems such as vehicle telematics, EV charging infrastructure, cloud logs network traffic, and backend services. Each connector is configured with source-specific parameters allowing #FleetSOC to begin real-time ingestion of operational and security data. Once connected, these data streams are actively monitored and made available for analysis and alerting.
Real-Time Fleet Visibility and Alerting
#FleetSOC provides a real-time operational view of fleet security through a structured dashboard that provides alerts as they are detected. Alerts are generated based on patterns observed in incoming data and are categorized by severity (Critical, High, Medium, Low), allowing teams to quickly prioritize response.
Each alert is not just a notification but a structured record that includes:
- Alert type and source (e.g., telematics anomaly, network irregularity)
- Affected assets (vehicles, systems, or infrastructure)
- Timestamps (first occurrence, last occurrence, frequency)
- Associated logs and supporting evidence
IoC-Driven Threat Correlation
A key capability of #FleetSOC is its use of Indicators of Compromise (IoCs) to organize and correlate threats across different parts of the fleet ecosystem.
Instead of treating alerts as isolated events, the platform groups them into IoCs based on shared patterns, behaviors, or threat categories. Each IoC acts as a central point of investigation and includes:
- Linked alerts across multiple connectors
- Affected assets and systems
- Threat category (e.g., data breach, vehicle compromise, payment fraud)
- Severity and impact assessment
This structure allows teams to understand not just what happened, but how different events are connected. For example, a network anomaly, a telematics irregularity, and a backend authentication issue can be tied together under a single IoC, revealing a broader attack pattern.
The IoC breakdown view provides relationship mapping between alerts, making it easier to trace attack paths and understand the spread of an issue across the fleet. It also shows how many alerts are correlated and which systems are involved, giving a clear picture of scope and impact.
Monitoring Across Fleet Systems
The Monitoring layer in #FleetSOC provides a continuous, system-wide view of fleet security activity. It aggregates data across asset groups such as vehicles, charging stations, smart infrastructure, and backend services, and presents it in a structured format.
Each asset group can be explored further to reveal detailed security insights, including top alerts, top IoCs, and affected assets. This allows teams to identify which part of the fleet is most at risk and focus their investigation accordingly.
Fleet-Centric Asset Visibility
The Fleet page organizes all assets into a structured hierarchy, allowing teams to move from a high-level overview down to individual asset details.
At the top level, the system shows:
- Total fleet assets
- Active alerts and IoCs
- Risk distribution across asset categories
From there, users can drill down into specific asset types (e.g., electric vehicles, infrastructure systems), then into subcategories, and finally into individual assets.
This structure ensures that every alert and IoC can be tied back to a specific asset, making it clear what is affected and where action is required.
AI-Assisted Analysis and Response
#FleetSOC helps teams understand alerts quickly by providing clear signals such as risk level, confidence, and severity. This makes it easier to decide which alerts need immediate attention and which ones can be reviewed later, without spending time going through raw logs or trying to interpret complex data.
The main value comes from the recommendations. For each alert, the system brings together all related information linked alerts, affected assets, and past activity and provides simple, step-by-step guidance. It explains what to check first, what actions to take right away, and how to prevent the same issue from happening again. This helps teams respond faster, stay consistent, and handle incidents with more confidence.
