Endpoint Detection & Response after Ransomware Attempt Saudi

The client operated in a tightly regulated financial‑services market, serving retail investors and small‑business accounts across the GCC. Their security stack consisted of legacy antivirus on Windows 7 machines, a basic firewall, and a manual log‑collection process. When a ransomware strain resembling REvil tried to encrypt the finance department’s shared drive, the lack of real‑time visibility let the malware spread for several hours before the IT team detected abnormal file activity.

In the region, executives face sophisticated phishing campaigns, malware delivered through compromised third‑party software updates, and credential‑stealing tools linked to nation‑state actors. The antivirus signatures were outdated, and the organization had no endpoint telemetry pipeline to correlate process behavior with network anomalies. The SIEM ingested only firewall logs, leaving host‑based events blind.

After the incident, the Saudi Arabian Monetary Authority (SAMA) required continuous monitoring and rapid incident response for all financial institutions. The risk team warned that non‑compliance could raise audit fees by 20 % and trigger restrictions on cross‑border transactions. Beyond technical downtime, client confidence slipped, causing a temporary 5 % drop in new account openings.

Budget constraints typical of SMBs added complexity. The finance department could allocate only AED 150,000‑200,000 for a security overhaul, demanding a solution that delivered high efficacy without heavy licensing costs. Finally, the internal IT staff were used to point solutions and needed a structured knowledge‑transfer plan to manage a more complex EDR environment sustainably.

Discovery and Assessment

We inventory‑ed 178 endpoints: Windows 10 laptops, legacy Windows 7 workstations, and a small fleet of macOS devices. We installed CrowdStrike Falcon sensors in read‑only mode and let them record baseline activity for two weeks. At the same time we examined the client’s logging setup and spotted gaps in process, registry, and network‑flow data. In the GCC context we noted that the logging gaps could affect compliance with UAE data‑protection requirements.

Stakeholder Alignment

We formed a steering committee that included the CISO, compliance officer, finance director, and lead IT administrator. By showing a risk matrix that weighed potential ransomware loss against the cost of an EDR platform, we gained approval for a phased rollout. The compliance officer asked for audit‑ready reporting to satisfy local regulatory expectations, while the finance director wanted a clear ROI projection tied to reduced downtime.

Architecture Design

The design calls for a cloud‑native EDR that feeds into the existing Splunk Enterprise instance. Endpoint telemetry will travel through the CrowdStrike API to Splunk, where it will be correlated with firewall logs from Palo Alto Networks and identity events from CyberArk. We reinforced network segmentation with micro‑segmentation policies on the Palo Alto firewall to limit lateral movement.

Tool Selection

We evaluated several vendors and chose CrowdStrike Falcon for its low‑overhead sensors and threat‑intel feed. Splunk stays as the core SIEM because the organization already holds licenses and staff are familiar with it. To protect privileged credentials we added CyberArk privileged access management, ensuring any stolen credentials are contained. All tools were selected for their ability to integrate via RESTful APIs, allowing automated playbooks in Microsoft Defender for Endpoint to handle remediation.

Phase 1 - Foundation

We began by establishing a secure tunnel between the client’s on‑premises network and the CrowdStrike cloud, configuring sensor policies to enforce prevention mode for known ransomware hashes. Baseline alerts were tuned to suppress false positives, focusing on techniques such as process injection and credential dumping. Simultaneously, we set up a dedicated Splunk index for endpoint data, applying field extractions for process command lines, hash values, and parent‑child relationships.

Phase 2 - Core Implementation

The rollout proceeded in three waves: high‑risk finance workstations, then general office laptops, and finally remote employee devices. Each wave incorporated CyberArk vault integration to rotate service account passwords automatically. Automated response playbooks were built in Splunk SOAR, triggering quarantine actions on the Palo Alto Networks firewall when a malicious process was detected. Continuous monitoring dashboards displayed MITRE ATT&CK technique coverage, allowing SOC analysts to prioritize investigations.

Phase 3 - Hardening and Optimisation

Post‑deployment, we performed a red‑team exercise to validate detection coverage, adjusting sensor sensitivity to capture file‑less attacks. Alert fatigue was reduced by implementing a tiered severity model, routing only high alerts to the on‑call analyst. Regular threat‑intel updates from CrowdStrike were scheduled, and quarterly tuning sessions were established to align with evolving phishing and malware trends. Documentation and runbooks were handed over to the client’s internal team for long‑term sustainability.

Outcome: the organization achieved a 95 % reduction in successful ransomware incidents within six months. Mean time to detect fell to 4 minutes, and mean time to contain dropped to 27 minutes, cutting potential data loss by more than 80 %. Alert volume decreased from an average of 1,200 daily events to 320, allowing the SOC to operate with 30 % fewer FTE hours. Compliance metrics showed 100 % alignment with SAMA’s continuous monitoring requirements, eliminating the risk of audit penalties.

The integrated Splunk dashboards provided actionable visibility, enabling the security team to identify anomalous behavior within seconds. Privileged credential theft attempts dropped to zero after CyberArk policy enforcement, and network segmentation prevented lateral movement in simulated breach drills. Business stakeholders reported restored confidence, reflected in a 7 % increase in new account openings during the subsequent quarter.

Lesson 1: Early Visibility Wins

Deploying lightweight sensors before full enforcement gave the team a clear picture of normal activity, making policy tuning faster and reducing false positives.

Lesson 2: Align Tools with Compliance Early

Mapping vendor capabilities to regulator checklists during the design phase prevented costly re‑engineering later and secured budget approval.

Lesson 3: Automate to Reduce Fatigue

Integrating EDR alerts with SOAR playbooks cut manual response time dramatically, allowing analysts to focus on truly high‑severity incidents.