RevSoc User Guide

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Overview Introduction to RevSoc RevSoc Architecture Dashboards Super SOC Team RevSoc AIR Reinvent Security Operations Key Benefits
Overview
Welcome to RevSoc, your comprehensive AI-powered cybersecurity platform. This guide is designed to help you navigate and utilize the various features of RevSoc, ensuring you can protect your digital assets effectively. Whether you're a seasoned security professional or new to the field, our platform offers intuitive tools and robust capabilities to enhance your organization's cybersecurity posture.

Introduction to RevSoc
RevSoc leverages advanced artificial intelligence to provide real-time threat detection, dynamic threat hunting, and automated incident response. Our platform is designed to streamline your security operations, allowing you to focus on strategic initiatives while achieving unparalleled cybersecurity excellence. By integrating AI at the core of our security operations, RevSoc empowers organizations to stay ahead of cyber threats, ensuring proactive and reactive measures are in place to safeguard critical assets.
Key Features:
  • Real-Time Threat Detection: Continuously monitors your network to identify and alert you to potential threats as they occur.
  • Dynamic Threat Hunting: Uses advanced algorithms to proactively search for vulnerabilities and threats within your system.
  • Automated Incident Response: Automatically takes pre-defined actions to mitigate threats and minimize damage, reducing response times and operational impact.
RevSoc Architecture
RevSoc's architecture is built on a robust and scalable framework, capable of processing vast amounts of data seamlessly. It integrates multiple components to deliver comprehensive security coverage, ensuring that every potential threat is identified and mitigated promptly. Our architecture is designed to adapt to the growing and evolving nature of cyber threats, providing a resilient defense mechanism for your digital infrastructure.
Core Components:
  • Data Ingestion Layer: Collects and normalizes data from various sources, including network traffic, endpoints, and cloud services, ensuring a comprehensive view of your security environment.
  • AI Detection Engine: Analyzes the ingested data in real-time, using machine learning models to detect anomalies, patterns, and potential threats.
  • Incident Management System: Orchestrates automated responses and provides a centralized dashboard for managing and investigating incidents.
  • Visualization and Reporting Tools: Offers intuitive dashboards and reports that provide actionable insights and help you make informed decisions about your security posture.
RevSoc's architecture is designed to be flexible and adaptable, supporting seamless integration with your existing security infrastructure and tools. This ensures that you can leverage the full potential of AI-driven cybersecurity without disrupting your current operations.
SOC Dashboard
  1. Understanding SOC Dashboard
    • Alert Overview: Comprehensive view of all security alerts.
    • Incident Overview: Detailed incident reports and statuses.
    • Entity Overview: Monitoring and analysis of key entities.
    • Risk Overview: Assessment and visualization of potential risks.
    • Model Overview: Insights into the performance of security models.
    • Notification Panel: Centralized notifications for immediate action.
    • Data Overview: Summarized data insights.
    • Data Quality: Analysis of data integrity and quality.
    • Data Correlation: Correlation of data points for enhanced threat detection.
  • Incident Overview: Detailed incident reports and statuses.
  • Alert Overview: Comprehensive view of all security alerts.
  • Entity Overview: Monitoring and analysis of key entities.
  • Risk Overview: Assessment and visualization of potential risks.
  • Model Overview: Insights into the performance of security models.
  • Notification Panel: Centralized notifications for immediate action.
  • Data Overview: Summarized data insights.
  • Data Quality: Analysis of data integrity and quality.
  • Data Correlation: Correlation of data points for enhanced threat detection.
Risk Dashboard
  1. Risk Dashboard
    • User with Most Alerts: Identification of users triggering the most alerts.
    • IP with Most Alerts: Monitoring IP addresses with high alert activity.
    • Hosts with Most Alerts: Analysis of hosts with frequent alerts.
    • Top AI Predictions: Insights from AI-driven risk predictions.
    • Risk by Location: Geographical distribution of risks.
    • Risk by Dataset: Categorization of risks by dataset.

  • IP with Most Alerts: Monitoring IP addresses with high alert activity.
  • User with Most Alerts: Identification of users triggering the most alerts.
  • Hosts with Most Alerts: Analysis of hosts with frequent alerts.
  • Risk by Dataset: Categorization of risks by dataset.
CISO Dashboard
  1. CISO Dashboard
    • Data Quality: Ensuring high-quality data for accurate threat detection.
    • Model Coverage: Evaluating the coverage of security models.
    • False Positive Reduction: Strategies for minimizing false positives.
    • True Positives: Tracking actual threats identified.
    • SOC KPI Metrics: Key performance indicators for SOC operations.
    • Risk Overview: Comprehensive risk assessment.
    • Risk Trend: Analysis of risk trends over time.
  1. Identity 360 Dashboard
    • Risk by Department: Assessing risks within different departments.
    • Risk by Title: Evaluating risk levels by job title.
    • Risk by Location: Geographical risk distribution.
    • Privileged Users: Monitoring high-risk privileged accounts.
    • Terminated Users: Tracking risks from former employees.
    • External Users: Assessing risks from external users.
    • Service Accounts: Security analysis of service accounts.
    • User Stats: Comprehensive user statistics.
    • User Categorization: Categorizing users based on risk levels.
System Health Dashboard
  1. System Health Dashboard
    • Disk Utilization: Monitoring disk space usage.
    • Memory Utilization: Analyzing memory usage.
    • CPU Utilization: Tracking CPU performance.
Build a Super SOC Team
Alleviate the burden of your SOC teams and simplify security operations with AI. Companies are vulnerable due to challenges like lack of budget, talent, and expertise to handle complexity. Cyberattacks can cause irreversible damage to businesses and their customers.
RevSoc Autonomous Incident Responder (AIR)
RevSoc AIR is the next-gen platform built using AI to automate detection, response, and threat hunting, allowing companies to safeguard their digital assets. The intelligent platform simplifies security operations and allows SOC teams to be more effective and efficient in handling any cyber threats across the entire attack surface.
Reinvent Security Operations
Data Source Agnostic & Seamless Ingestion
  • Identity
  • SIEM
  • SaaS & Cloud
  • EDR & Network
AI Detection Engine
  • Automatic Investigation
  • Contextual Visual Timeline
  • Automated Incident Management
SOC Analysts Feedback
  • Prioritized Alerts
  • Security Built on Smart Data
Key Benefits
  • Accurate Detection and Rapid Response: Get 24/7 security coverage by automating incident investigation and response powered by self-learning AI. Build autonomous detection models in minutes, prioritize critical alerts, and eliminate false positives.
  • Prepared to Protect: Be proactive in discovering threats and vulnerabilities, anticipating and preparing to tackle future threats from any direction covering the entire attack surface. Use no-code threat hunting to be effective and efficient.
  • Optimize SOC Operations: Enhance SOC operations with intelligent and autonomous threat detection and response.
  • No-Code Approach: Build models quickly and easily without requiring expertise. Simplify threat hunting with a no-code platform and threat intelligence integrations.
  • Intelligence with Context: Get total visibility with visual timelines and associated context for the events. Use connected data sources to create a single timeline with risk scores and trigger auto-remediation with increasing scores.
  • Self-Learning Models/Platform: Save time and effort with self-learning models that use feedback to continuously train themselves.
  • Focus on the Real Threats: Identify high-priority threats by automated risk scoring. Eliminate alert fatigue, reduce false positives, and tackle threats with accuracy and precision.
  • Autonomous Model Creation: Build autonomous models in minutes using AI for comprehensive coverage of the attack surface.
Predict and Prevent Attacks: Utilize an agile threat detection platform.