How the NSA Cybersecurity Collaboration Center Boosts Defenses
How a Medical System Builds a Healthier Cybersecurity Program
Large health care systems operate thousands of interconnected endpoints, creating an expansive attack surface area that providers must monitor and protect around the clock, according to Ernst & Young LLP (EY). Safeguarding this infrastructure requires proactive monitoring and swift containment to stop threats before business-critical functions face disruption.
The Tech TL;DR:
- Endpoint Defense: Behavior-based endpoint detection and response (EDR) tools distinguish malignant attacker behavior from risky user habits.
- Automation Integration: Security, Orchestration, Automation and Response (SOAR) workflows cut manual workloads for tasks like password resets and malware removal.
- Managed Threat Operations: Around-the-clock monitoring bridges the gap for in-house teams facing severe cybersecurity talent shortages.
Architecting Real-Time Threat Visibility Across Medical Endpoints
Modern hospital networks encompass everything from standard workstations to specialized patient medical monitors. Securing this distributed device topology demands robust, centralized log aggregation and analytics. According to Ernst & Young LLP, implementing Splunk enabled the health care provider to extend threat detection visibility, sift through massive data sets, and integrate diverse log sources. To streamline this process, engineering teams can configure log shipping via standard forwarding daemons:
[input://syslog_listener]
stream_counter = 514
sourcetype = syslog
connection_host = dns
index = healthcare_sec_ops
By pairing log integration with behavior-based EDR tooling, the organization gains the capability to observe potential cyber threats on user endpoints and servers. Vivek Ashar, Ernst & Young LLP Senior Manager, notes that teams added custom detection logic and proactive, intelligence-driven threat hunting capabilities alongside 24/7 real-time reporting dashboards. This setup provides CISOs and security operations centers (SOCs) with instantaneous insight into active threats.
Automating Incident Response and Mitigating Resource Constraints
Tapan Shah, EY US Cybersecurity Managed Services Leader, points out that the broader cybersecurity talent shortage places heavy burdens on in-house personnel who must fight sophisticated threats with limited staff. To counter this bottleneck, organizations are deploying automated orchestration solutions.
The integration of Splunk’s Security, Orchestration, Automation and Response (SOAR) tool significantly curtails manual efforts in incident response. Routine tasks—including phishing analysis, account disabling, password resets, and malware removal—are automated to expedite attack disruption.
Furthermore, the EY Managed Threat Detection and Response service deploys detection logic directly from its Attack Intelligence Lab into existing enterprise cyber technologies. This configuration delivers continuous monitoring, alert triage, and rapid containment, allowing internal IT personnel to pivot toward long-term, strategic hardening initiatives.
Optimizing Continuous Compliance and Log Pipeline Integration
Jennifer Pope, Ernst & Young LLP Partner and account lead, emphasizes that defense strategies must avoid generic, one-size-fits-all frameworks. Instead, collaborative efforts focus on aligning cyber investments directly with operational realities to protect patient data privacy and uphold overall network resilience.

Editorial Kicker
Protecting patient care and safeguarding critical infrastructure requires moving beyond static defense models toward automated, intelligence-driven managed services. Organizations that successfully optimize their technology stack and integrate robust orchestration tools will remain resilient against evolving threat vectors.
*Disclaimer: The technical analyses and security protocols detailed in this article are for informational purposes only. Always consult with certified IT and cybersecurity professionals before altering enterprise networks or handling sensitive data.*