Threat Intelligence Programme Cuts Phishing 78% Saudi Arabia

The client operates in a tightly regulated segment of the financial‑services market and stores sensitive personal and transaction data for more than 10 000 customers. Their threat environment includes credential‑phishing campaigns, business‑email‑compromise attempts and opportunistic ransomware strains that used stolen credentials to move laterally. Existing controls relied on signature‑based anti‑virus and a legacy SIEM that did not pull in external threat data, so alerts arrived without context. When two employees clicked malicious links, attackers harvested valid credentials, entered the internal portal and forced an urgent board‑level review.

Regulators added pressure after the quarterly review flagged “insufficient threat monitoring” as a material weakness. The PCI DSS assessment demanded real‑time detection of credential abuse and proof that threat‑intelligence feeds were integrated. The security‑operations team, made up of three analysts, was swamped by daily alert noise and missed high‑severity events. Their incident‑response plan was documented but rarely exercised, and it did not incorporate actionable intel, which lengthened investigation cycles.

The impact went beyond potential fines. The near‑miss damaged client confidence; several high‑net‑worth customers asked directly about the firm’s security posture. The CISO was asked to deliver a concrete remediation plan within 30 days, while finance warned that budget limits could curb new technology purchases. Network segmentation was adequate, but the absence of a unified threat‑intelligence platform stopped the organization from defending proactively against emerging campaigns that have been targeting the Saudi Arabian and broader GCC financial sector, including recent activity observed in the UAE.

Regulatory scrutiny, operational overload and a real breach event created a perfect storm that required a scalable, intelligence‑driven solution. The client needed a program that could ingest multiple feeds, correlate them with internal logs and deliver actionable insights without adding excessive manual workload. Designing and deploying such a program had to be done within a tight timeline and with limited staffing.

Discovery and Assessment

We conducted a comprehensive inventory of data sources, including email gateways, endpoint detection agents, and the Splunk log aggregation layer. Interviews with the CISO, compliance officer, and SOC analysts identified pain points such as duplicate alerts and lack of attribution. A threat modeling workshop mapped the most common adversary techniques to the organization’s assets, revealing that phishing and credential dumping accounted for 68 % of observed incidents. The assessment also measured current mean time to acknowledge (MTTA) at 22 minutes and mean time to remediate (MTTR) at 48 hours.

Stakeholder Alignment

A steering committee comprising senior management, IT, legal, and risk officers was formed to approve budget and define success metrics. We presented a business case that linked a 30 % reduction in incident volume to potential audit savings of AED 250 000 per year. Clear ownership was assigned: the SOC would own day‑to‑day intel consumption, while the compliance team would validate feed relevance against regulator requirements. Regular status meetings ensured alignment and rapid decision‑making throughout the rollout.

Architecture Design

The design adopted a layered approach. External feeds from Recorded Future and the open‑source MISP platform were normalized through Cortex XSOAR playbooks before being injected into Splunk via the Splunk Add‑on for Threat Intelligence. Enriched events were tagged with MITRE ATT&CK technique IDs, enabling correlation with internal detection rules. A dedicated “Threat Intel” index was created to store raw feed data, preserving provenance for audit trails. Redundancy was built using a secondary cloud‑based ingest node to guarantee availability.

Tool Selection

We evaluated several commercial threat intel platforms against criteria such as API coverage, language support, and cost. Recorded Future was selected for its real‑time feed quality, extensive coverage of Middle‑East threat actors, and seamless integration with Cortex XSOAR. For open‑source augmentation, MISP provided community‑driven indicators relevant to the regional banking sector. The existing Splunk Enterprise deployment was retained, avoiding a costly SIEM replacement, while Cortex XSOAR enabled automated enrichment and response playbooks. All selections were justified with ROI calculations and compliance mapping.

Phase 1 - Foundation

The first phase focused on establishing a reliable ingest pipeline. API connectors were built to pull STIX‑formatted feeds from Recorded Future and MISP into a staging area. Data normalization scripts, written in Python, stripped duplicates and mapped indicator types to Splunk field conventions. A secure TLS tunnel ensured feed integrity, and a daily health check dashboard was added to monitor ingest latency, which remained under two minutes for 95 % of pulls.

Phase 2 - Core Implementation

Next, we integrated the enriched indicators with the existing Splunk environment. The Splunk Add‑on for Threat Intelligence was configured to tag incoming logs with confidence scores and ATT&CK technique tags. Custom correlation searches were created to flag any login attempt from an IP address that appeared on a malicious list within the past 72 hours. When such a condition triggered, Cortex XSOAR automatically opened a ticket, isolated the endpoint, and sent a remediation email to the user. Playbooks also generated a summary report for the compliance officer each week.

Phase 3 - Hardening and Optimisation

In the final phase, we fine‑tuned alert thresholds to reduce noise. Machine‑learning models within Splunk were trained on historic phishing data, achieving a precision of 0.87 and recall of 0.81. Alert fatigue was mitigated by implementing a tiered escalation matrix: low‑confidence alerts were logged for trend analysis, while high‑confidence alerts invoked immediate automated containment. Ongoing tuning sessions, held bi‑weekly, adjusted feed confidence weighting based on false‑positive trends. Documentation and runbooks were handed over to the SOC, completing the knowledge transfer.

The threat intelligence programme delivered measurable risk reduction within the first quarter. Phishing click‑through rates dropped 78 %, moving from 12 % to 2.6 % across the employee base. Mean time to detect credential misuse fell from 48 hours to under 6 hours, cutting potential exposure windows dramatically. Alert volume decreased by 35 %, freeing roughly 120 FTE‑hours per month for proactive threat hunting. Automated enrichment reduced manual investigation steps by 40 %, allowing analysts to focus on high‑impact incidents. Compliance reporting time was trimmed by 40 %, satisfying regulator demands for real‑time intel evidence. Business leadership reported restored client confidence and noted that the programme’s success positioned the firm for future digital expansion.

Lesson 1: Align Metrics with Business Goals

Defining clear, business‑oriented metrics such as phishing click‑through reduction ensured executive buy‑in and provided tangible proof of value.

Lesson 2: Automate Early, Tune Continuously

Early automation of enrichment and containment accelerated response times, while regular tuning prevented alert fatigue and maintained high precision.

Lesson 3: Leverage Existing Platforms

Integrating threat intelligence into the current Splunk deployment avoided unnecessary spend and leveraged familiar tools, easing adoption across the SOC.