A global retail and e-commerce company, with a vast online presence and interconnected supply chain systems, faced escalating cyber threats. The company's reliance on digital platforms for transactions, inventory management, and customer data storage made it a prime target for malicious actors. Frequent cyber threats such as ransomware, credential theft, and payment fraud jeopardised their operational continuity and customer trust.

 

Despite having a dedicated cybersecurity team, the company struggled to address the growing volume of threat data and evolving tactics of adversaries targeting retail operations. The complexity of their infrastructure and the rapid pace of digital transformation added further challenges to maintaining robust cybersecurity defences.
 

The Solution: READ. by Elemendar​

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To tackle these challenges, the company adopted Read by Elemendar, an AI-driven solution designed to automate the ingestion, structuring, and enrichment of threat intelligence in STIX format. Seamlessly integrated into their Security Information and Event Management (SIEM) system, READ. delivered actionable intelligence tailored to retail-specific threats. This transformed the company’s ability to preempt and respond to sophisticated cyber-attacks.

Benefits of READ. in the Financial Sector
 

Cost Efficiency and Resource Optimisation: By automating the ingestion and enrichment of threat intelligence, Read significantly reduced the company’s reliance on manual processes. Cybersecurity staff, who previously spent valuable time analysing fragmented threat feeds, were now freed to focus on strategic initiatives like threat hunting and incident response. These efficiencies allowed the company to reallocate resources toward improving customer data protection and securing its e-commerce platforms without expanding its team.

Faster, More Proactive Threat Response: Read’s threat intelligence was directly linked to indicators and tactics targeting the retail sector, such as phishing attacks, credential stuffing, and point-of-sale (POS) malware. By providing enriched intelligence in real-time, Read enabled the company to identify and respond to threats 70% faster. This proactive approach helped the company mitigate payment fraud attempts, neutralise ransomware threats before encryption, and safeguard its digital storefronts from disruptions during peak shopping seasons.

Improved Data Quality and Contextual Intelligence: Before adopting Read, the company’s threat intelligence data was siloed and inconsistent, making it difficult to correlate potential attacks with specific vulnerabilities in their infrastructure. With Read, the company received high-quality, context-rich intelligence that allowed them to prioritise critical vulnerabilities affecting payment gateways, customer databases, and supply chain systems. This improved data quality strengthened their ability to defend against complex, multi-stage attacks and protect customer trust.

Scalability to Handle Growing Threats: As the company expanded its operations into new regions and integrated additional digital platforms, Read by Elemendar scaled effortlessly to accommodate the growing volume of threat data. Whether addressing regional cybercriminal groups targeting payment systems or mitigating global ransomware campaigns, Read provided the company with consistent and reliable intelligence across its entire operational footprint.

Conclusion

For this retail and e-commerce leader, Read by Elemendar has revolutionised its approach to cybersecurity. By delivering enriched, actionable intelligence directly into their SIEM, Read has empowered the company to protect customer data, prevent payment fraud, and ensure operational continuity. With this scalable and efficient solution, the company is now better equipped to defend against current and emerging threats, setting a benchmark for robust, future-ready cybersecurity in the retail and e-commerce sector.