A healthcare organisation was tasked with protecting sensitive patient data and ensuring uninterrupted medical services faced an increasing wave of cyber threats. With rising incidences of ransomware, data breaches, and phishing attacks targeting patient information and medical device networks, the healthcare provider struggled to keep up with timely threat intelligence and incident response. The cybersecurity team, already stretched thin by limited resources and a high volume of daily alerts, required a more efficient, scalable solution to bolster its defences.

To address these challenges, the healthcare organisation implemented “Read” by Elemendar, an AI-powered tool that automates the ingestion, structuring, and enrichment of threat intelligence in STIX format. This tool was integrated directly into their Threat Intelligence Platform (TIP), supplying the security team with actionable intelligence that enhanced their ability to protect critical patient information and operational continuity.

 

Cost Efficiency and Resource Optimisation​

With the deployment of Read, the organisation was able to reduce its reliance on manual processes for threat intelligence handling, thereby freeing up valuable time and resources. By automating data collection and enrichment, the security team required fewer analysts for routine tasks, allowing them to focus on complex threat analysis and strategic security initiatives. These optimisations enabled the organisation to maximise its limited budget, reallocating resources to improve other critical areas of cybersecurity, such as training and advanced threat detection technologies.

Faster, More Proactive Threat Response
Read integrated seamlessly into the organisation's TIP, enabling real-time contextualisation of threat indicators. By linking threat data to known tactics, techniques, and procedures (TTPs) and attributing attacks to specific threat actors, Read provided intelligence that was immediately actionable. This capability enabled the security team to detect and address threats up to 60% faster, significantly improving their ability to respond proactively to ransomware and phishing attacks that could disrupt patient services or compromise sensitive health data.

Consistent, Reliable Data Quality
Prior to implementing Read, the healthcare provider’s intelligence feeds were disjointed, requiring analysts to manually correlate fragmented data. With Read’s structured and consistent data stream in STIX format, the organisation received high-quality intelligence that was immediately usable in their TIP. This consistency allowed analysts to confidently prioritise and mitigate high-risk threats, ultimately reducing the risk of data breaches and service disruptions. The result was a more resilient security posture that minimised potential attack vectors.

Scalability for Future Threats

With Read integrated into their TIP, the department gained a scalable solution that could accommodate increasing volumes of threat data as the cyber landscape evolved. The AI-driven automation enabled them to handle more data without expanding the team, ensuring they could continue defending national assets effectively, even under tight budgets.

Conclusion

For this healthcare organisation, Read by Elemendar has been a transformative addition to their cybersecurity strategy. By delivering enriched, actionable intelligence to their TIP, Read has empowered the team to enhance their security posture affordably and efficiently. Today, the organisation operates with a proactive stance against cyber threats, ensuring patient data security and uninterrupted healthcare services, setting a standard for modernised, resilient cybersecurity in the healthcare sector.