A national government department responsible for securing critical infrastructure, such as energy, healthcare, and transportation, faced escalating cyber threats. Tasked with maintaining a robust security posture, the department struggled with limited staff and a shrinking budget. The intelligence team’s reliance on manual data collection and analysis made it difficult to deliver the timely, actionable intelligence needed to defend against advanced cyber threats. They required a more efficient, scalable solution.

To meet this need, the department adopted “Read” by Elemendar, an AI-powered tool that automates the ingestion, structuring, and enrichment of threat intelligence in STIX format. Read integrates directly into their Threat Intelligence Platform (TIP), continuously providing fresh, actionable intelligence that strengthens their security posture.

 

Cost Efficiency and Resource Optimisation

With Read, the team dramatically reduced its dependence on manual processes, freeing up time and resources. Automated data collection and enrichment meant fewer analysts were needed for routine tasks, allowing them to focus on high-value threat analysis. These savings enabled the department to stretch its budget further, reallocating resources to fortify other areas of its cybersecurity infrastructure.

Faster, More Proactive Threat Response
The intelligence that Read provided fed directly into the department’s TIP, bringing immediate context to threat indicators. Automated enrichment linked data to known attack patterns, tactics, and threat actors, creating intelligence that was ready for action. This new capability allowed the team to detect and mitigate threats up to 70% faster, reinforcing the department’s security posture by giving them a proactive edge. With earlier detection and response, they were better positioned to prevent threats from advancing within their critical infrastructure.

Consistent, Reliable Data Quality
Before Read, intelligence feeds were fragmented and inconsistent, forcing analysts to piece together information manually. Read’s structured data provided a steady stream of high-quality intelligence in STIX format, tailored for immediate use in the TIP. This consistency allowed analysts to prioritise high-risk threats with confidence, improving the accuracy and efficiency of their responses. As a result, the department’s security posture became more resilient, with fewer gaps for adversaries to exploit.

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 government department, Read by Elemendar has been a transformative force. By feeding enriched, actionable intelligence into their TIP, Read has empowered the team to reinforce their security posture affordably and efficiently. Today, the department operates proactively, ready to defend against future threats and setting a benchmark for effective, modernised cybersecurity in government.