Based on what been said above Vigilant platform provides you with the solution for such case scenario, “Threat Map” a feature of Vigilant platform can be proactive prediction approach for security analyst in many ways.

Threat Map delivers comprehensive, context-rich data that allows you to quickly identify the underlying cause of a threat, revealing its context, connections, and actions with just one click. As fresh telemetry data is fed in, Threat Maps is updated in real-time, offering a complete view of activities.

With Threat Map, analysts can gain a complete understanding of the events that took place on an endpoint. It’s designed to simplify, visualize the entire sequence of events, and save valuable time for security teams. This feature allows analysts to quickly piece together an attack’s full context, identify root causes, and make informed decisions, ultimately accelerating response times and improving the efficiency of threat detection.

Threat Map feature within Vigilant platform enhances threat hunting by providing a timeline view of security events. It aggregates and correlates relevant data, which helps security teams visualize complex attacks and track the sequence of events that lead to a breach.

Threat Map offers robust detection features, top-tier visibility, and empowers users to create custom detection rules tailored to emerging or industry-specific threats through Threat Map Active Response (STAR). Using aggregated data, STAR enables customers to integrate personalized detection logic and quickly deploy it across their entire network, or specific segments, to either terminate matching processes or trigger alerts for investigation. STAR can reduce the workload of Security Operations Centers (SOCs) by automatically neutralizing threats and isolating affected endpoints.

Additionally, STAR can introduce an extra layer between threats and EDR data, focusing alerts on a curated set of key events rather than overwhelming the system with the entire dataset. This optimized data can then be seamlessly integrated into a SIEM, lowering the costs associated with EDR data while ensuring that no critical events go unnoticed.

Key Features

• Ease of Use: The graphical user interface of the Management console is intuitive, enabling analysts to construct complex queries without extensive knowledge of query syntax.
• Automated Threat Hunts: Analysts can set up custom threat hunting searches that run on a defined schedule, ensuring continuous monitoring and prompt detection of emerging threats.

By leveraging Threat Maps, organizations can proactively identify and respond to threats, enhancing overall cybersecurity posture.

STAR Rule Lifecycle

The lifecycle of a STAR Rule—Signal detection, Tactic identification, Action designation, and Response automation—in relation to SIEM overload and zero-day attacks transforms telemetry into actionable strategies. By encoding the detection logic of anomalous process spawning or rare API calls alongside predefined response actions like endpoint isolation or user session freezing, security teams can utilize threat intelligence at machine speed due to STAR Rules. This workflow enhances SIEM efficacy by providing low-volume, high-fidelity noise-cutting alerts and preventing zero-day exploit pathways by anticipating adversary tactics like credential dumping and lateral movement. For example, algo-quarantining triggered by STAR Rule crossover of unsigned DLL injection Signal x MITRE ATT&CK T1055 Tactic Action corsets novel malware escalation. These STAR Rules enable teams to shift from manual analysis to automated, scalable defense, enhancing capacity to respond to emerging threats. This impact enables resource-strategically constrained teams to proactively interrupt looming attacks while efficiently managing SIEM activity, since only the most important alerts, rich in context, trigger alarms.