AI-Powered Security Incident Management

Enhancing Real-Time Threat Detection and Automated Response

Overview
Challenge
Solution
Results
Technologies

Overview

Client, one of Ethiopia’s largest private financial institutions, manages vast digital operations spanning core banking systems, online channels, and cloud integrations. With rapid digital expansion came a surge in network traffic, user activities, and cyber threats that traditional security monitoring tools struggled to analyze efficiently.

To strengthen its cybersecurity resilience and accelerate incident response, the Bank partnered with V-Tech Solutions to deploy the AI-powered Darktrace Security Incident Management platform, designed to autonomously detect, analyze, and respond to threats in real time.

Challenge

  • Prior to the deployment, The Bank’s security operations center (SOC) faced several key challenges:

    • Reactive Threat Management — Security analysts relied on manual log reviews and periodic alerts, delaying detection and containment.

    • Increasing Alert Volume — High false-positive rates overwhelmed the SOC team, reducing focus on genuine threats.

    • Limited Network Visibility — Traditional systems provided fragmented insights across on-premise and cloud environments.

    • Compliance Pressure — Meeting National Bank of Ethiopia (NBE) and international standards required faster incident reporting.

    • Evolving Threat Landscape — AI-driven and insider threats were becoming more sophisticated, demanding adaptive security measures.

Solution

V-Tech Solutions implemented Darktrace Enterprise Immune System and Antigena Response Modules to enable continuous, intelligent monitoring and autonomous response capabilities.

Key solution features included:

  • AI-Based Anomaly Detection — Used unsupervised machine learning to identify deviations from normal network behavior.

  • Real-Time Threat Visualization — Delivered instant, dynamic visual mapping of network and user activity.

  • Automated Response (Antigena) — Contained emerging threats autonomously before they escalated.

  • Email Security Integration — Extended protection to the bank’s email systems, detecting phishing and spoofing attempts.

  • SIEM & SOAR Integration — Streamlined alerts into existing incident response workflows for unified visibility.

  • Continuous Learning Model — Improved detection accuracy as system exposure and data volumes grew.

Results

  • The deployment of Darktrace significantly enhanced the Bank’s cybersecurity posture and operational efficiency:

    • 70% faster detection-to-response time through automation and AI-driven analysis.

    • Reduced false positives by over 50%, enabling analysts to focus on critical incidents.

    • Enhanced compliance readiness for NBE and PCI DSS reporting standards.

    • 24/7 proactive defense with minimal manual intervention.

    • Strengthened overall cyber resilience against evolving internal and external threats.

Technologies

  • Darktrace Enterprise Immune System

  • Darktrace Antigena (Network, Email, Cloud)

  • SIEM & SOAR Integration

  • Machine Learning–Based Threat Analytics

  • Autonomous Incident Response Framework

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