Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We’re excited to share that Splunk Attack Analyzer recently introduced the ability to translate content and achieved SOC 2 Type II certification.

“CISOs and SOC analysts are fighting the same war, but too often, one’s answering to the board while the other’s drowning in alerts.” Security teams rarely fail because of a lack of skill or commitment. They fail when the coordination layer between the boardroom and the SOC starts to unravel.

Whether you’re an Apple fan or not, one of the reasons people buy into their ecosystem is ease of setup across different devices. In a world where people customize the applications on their laptops to cross over with their mobile phones, an easy setup is a key to getting the most value from their devices. However, in the world of security information and event management (SIEM) solutions, the time to value often takes longer than most security teams want to admit.

We’re honored to share that Splunk has been named a Leader in The Forrester Wave: Security Analytics Platforms, Q2 2025. Splunk is committed to power the SOC of the Future by providing a unified threat detection, investigation, and response (TDIR) experience — no matter their deployment requirements.

“Too many alerts mean missing the real threats.” Alert fatigue is one of the top threats to a SOC’s performance. When everything looks like a threat, nothing does. The tradeoff is disabling rules, overly tuning rules, or simply ignoring alerts just to stay afloat. The risk? High-value, low-noise threats slip through the cracks.

Large Language Models (LLMs) provide strong reasoning and data summarization capabilities, making them valuable proxies for a variety of cybersecurity operations tasks. However, their performance can decline when applied to highly specific or enterprise-contextual tasks, particularly if the models rely solely on public internet data.

Alert fatigue is a common phenomenon in Security Operations Centers (SOCs). It’s the digital equivalent of crying wolf. As SOCs are flooded with a relentless stream of alerts—many of which are low priority or false positives—it becomes increasingly difficult to identify truly critical security threats. Analysts are stuck spending countless hours verifying, contextualizing, analyzing, and acting on information, often at the cost of missing out on critical alerts.

For many Security Operations Center (SOC) teams, every day feels like a balancing act just shy of burnout. The alerts don’t stop. The tooling gets in the way more than it helps. And analysts—the people at the heart of security operations—are left trying to untangle signals in a sea of noise, pressure, and constant escalation. This isn’t just a tooling issue. It’s a deeper misalignment: the gap between what SIEM was supposed to be and what security teams actually need.

Think back to being in high school and wanting to leave the room during class. Your teacher would give you a hall pass to show anyone monitoring the halls that you had permission to walk around. Your behavior, walking around during the class period, was suspect unless you followed the rule, getting a hall pass. For security teams, rule-based intrusion detections are the hall monitors that look for behaviors that indicate a problem.