Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Protecting mission-critical Linux machines is essential for any business. Sophisticated cyber attacks can start from a low-value target machine and pivot into high-value servers filled with sensitive information. However, many organizations face challenges when their infrastructure includes older Linux kernels that do not support modern tracing technologies.

The Arizona Department of Homeland Security (AZDOHS) operates in an environment that requires a robust cybersecurity strategy to protect against ever-evolving threats. With a mission to safeguard state and local infrastructures, the team at AZDOHS faced the daunting task of monitoring an expansive array of data points and potential vulnerabilities.

In addition to Splunk’s recognition as a 10-time Leader in the 2024 Gartner Magic Quadrant for Security Information and Event Management (SIEM), we are extremely proud to announce that Splunk was ranked as the #1 SIEM solution in all three Use Cases in the 2024 Gartner Critical Capabilities for Security Information and Event Management report.

The threat of phishing attacks looms larger than ever. The LA County Department of Public Health recently announced that 50 employees fell victim to phishing attacks, compromising sensitive patient data. These deceptive schemes have become a staple in the cyberthreat landscape, targeting individuals and businesses of all sizes. For every employee, understanding the signs and consequences of a phishing attack is crucial to safeguarding their organization.

Managing vulnerabilities can feel like the end of the first act of Les Misérables as you sing to yourself, “one day more, another day another vulnerability.” Like Jean Valjean, you attempt to put up barricades to protect your environment from attackers exploiting these security weaknesses. Keeping pace with the number of vulnerabilities and threat actor activities becomes overwhelming, leaving you to feel outnumbered and outmanned.

Every security engineer has experienced this issue: after spending a lot of time creating a new SIEM alert to catch malicious behavior, you deploy it, only to find there are over 100 service accounts triggering false positives. Your SIEM is suddenly flooded with false alerts, and your team is overwhelmed as a result. You then spend hours or even days investigating these alerts and fixing your detection rule, hoping it will work better next time.

Managing dynamic cloud environments is an ongoing challenge for organizations as they scale and innovate. Protecting assets, data, and reputations is more important than ever, yet detecting insider threats, compromised accounts, and unusual behavior in an environment remains complex. Traditional SIEM solutions often focus on reactive, event-driven insights, but to meet today’s evolving needs, many teams are embracing proactive approaches like user and entity behavior analytics (UEBA).

Bolster your organization’s observability and security capabilities on one platform with AI, anomaly detection, and enhanced attack discovery Organizations in today’s digital landscape are increasingly concerned about service availability and safeguarding their software from malicious tampering and compromise. The traditional security and observability tools often operate in silos, leading to fragmented views and delayed responses to incidents.