Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Learn how public sector organizations are using Elastic to identify fraudulent activity with rules and anomaly detection jobs fine-tuned for their specific use cases. Every organization faces the challenge of identifying and combating fraud. In the financial services industry, it might be credit card fraud; in the auto insurance space, staged accident fraud; and in the public sector, unemployment, health insurance, or tax fraud.

For more than 20 years, the US Intelligence Community (IC) and Department of Defense (DoD) have relied on a legacy Host Based Security System (HBSS) to provide basic endpoint security on critical networks. This solution has generally served its purpose by checking the box for endpoint security. However, most agencies still lack a truly integrated cross-operating system and cross-domain solution for endpoint detection and response (EDR).

Public sector organizations face sophisticated, persistent threats — 38% of public sector organizations say their cyber resilience is insufficient compared to 10% of medium to large private businesses. With sensitive data and critical infrastructure at stake, agencies need tools that enable proactive detection and rapid investigation, all while keeping data inside a secure boundary.

Any well-oiled SOC can’t run without its dashboards. From monitoring critical metrics like events and throughput to viewing insights like indicators of compromise (IoCs), dashboards play a key role in day-to-day operations.

In today’s enterprise environments, endpoints are more than just laptops and desktops. They are the critical bridge where people, applications, and data intersect. While much attention is given to malware prevention and threat detection, one security layer is often underestimated: device control.

It’s rare to find a security professional who enjoys the security information and event management (SIEM) migration process. Security teams are often diverted from actively defending their environment to tend to the long, manual, and error-prone migration process.

For organizations in air-gapped environments with no external network connection, implementing the latest search and AI technology can be challenging, often to the point of impossibility. However, Elastic’s customers in highly sensitive industries, such as national security and defense, have relied on Elastic’s agile technology for over a decade, trusting it for mission-critical use cases in air-gapped environments or even on tech kits.

In a rapidly evolving digital landscape, organizations must continuously adapt their security operations to keep pace with new threats and business needs. For the team at Airties, a global leader in Wi-Fi mesh technology and access point solutions, this meant rethinking their legacy security information and event management (SIEM) platform. Airties is a manufacturer of access points, primarily serving large telecom operators. Its solutions power the Wi-Fi networks in millions of homes worldwide.

Agentic AI in cybersecurity promises to transform workflows as we know them, enabling a new level of personalization, automation, efficiency, and innovation. It’s already being deployed by security teams for use cases like autonomous threat detection and response, advanced threat hunting, automated incident investigation, real-time fraud protection, and more. So, how is agentic AI working overtime to help security analysts build a more resilient security posture?

Enhance your threat detection, investigation, and response capabilities by integrating Jamf Protect macOS data within Elastic Security. Security teams often struggle to detect and respond to macOS threats with endpoint data alone. The integration with Jamf Protect changes that. Jamf Protect delivers rich macOS telemetry and built-in protections like Threat Prevention and Network Protection, powered by Jamf Threat Labs.