SOC teams across businesses, industries, and geographies share the same goal: Stop cyberattacks before damage is done. But for those with legacy SIEMs, this goal is nearly impossible to achieve. While powerful, legacy SIEMs demand an overwhelming investment of time, resources, and expertise to set up and maintain.
Legacy SIEMs force SOC teams to manually define every possible attack scenario and ingest massive amounts of data to detect threats, driving both complexity and costs. Next, they must build thousands of rules to cover every attack scenario, from malware to insider threats, across every stage of the kill chain. Although most SIEMs provide default correlation rules, detection engineers must customize these rules for their unique environments and update them to keep pace with evolving threats and changing log formats.
Despite the massive effort poured into building correlation rules, SIEMs still flood analysts with low-fidelity alerts. Analysts spend up to two hours every day investigating false positives, increasing burnout and delaying response. The traditional SIEM model isn’t just inefficient — it’s broken. Teams need a new approach.
Mehmet Halit Sumen, Head of IT for Domino’s Pizza Eurasia, faced this precise challenge: “Our biggest challenge was false positives,” he said. “Any policy we enforce within our network might cause an outage. And since we operate 24/7, any outage can result in revenue loss … so it’s important our SOC operates efficiently and effectively.”
Detection Powered by Data, AI, and Deep Adversary Insights
Next-gen SIEM reimagines threat detection by applying threat intelligence, AI, and analytics to security telemetry. The goal is simple: to deliver accurate, up-to-date detections that work from the start and offer maximum coverage with minimal tuning. This empowers teams to adapt at the pace of the adversary, an evolution that sets next-gen SIEM platforms apart from their predecessors.
These platforms are built for faster threat detection. They collect and process data quickly, avoiding the ingestion bottlenecks of legacy tools. Often tightly integrated with SOAR, threat intelligence, and endpoint security on a single platform, next-gen SIEMs swiftly detect attacks without waiting for data handoffs or separate tools to trigger alerts and start triage workflows. This eliminates minutes or hours of delays and ensures teams are always a step ahead of threats.
For full visibility, organizations route logs from countless sources into their SIEM, building and fine-tuning thousands of correlation rules. However, most detections come from just a few key sources. Next-gen SIEM simplifies security by focusing on these critical data sources and delivering thousands of prebuilt, high-fidelity detections — ready to go on Day One, no rule-building required.
CrowdStrike Falcon® Next-Gen SIEM takes this further by integrating industry-leading endpoint detection and response, identity protection, and cloud security into a single platform. With over 10,000 indicators of attack (IOAs), customers see immediate value and streamlined rule management. A U.S. pharmaceutical company, for example, deprecated 60-70% of its correlation rules by switching from a legacy SIEM to Falcon Next-Gen SIEM and leveraging the endpoint detections already in the platform.
By unifying security operations, next-gen SIEM reduces complexity and costs. Teams save on detection engineering while avoiding redundant ingestion and storage of key data sources, boosting efficiency and improving return on investment.
Detecting Advanced Attacks with AI and Crowd-Sourced Data
Next-gen SIEM systems unlock the full potential of AI by combining cloud-scale processing with a deep understanding of key data sources such as endpoint, cloud, and identity data. They apply machine learning to massive volumes of events to power AI-driven detections that identify attacks with laser precision. They can also interpret scripting languages and commands to expose malicious behaviors that legacy SIEMs miss.
These tools automatically update their detection capabilities to identify new attack techniques and behaviors. Unlike legacy SIEMs with static, noisy correlation rules, next-gen SIEMs’ AI-powered detections evolve to counter evolving threats, eliminating the inefficiencies of manual rule maintenance. This is more than an improvement — it’s a fundamental shift in how security operates at scale.
Extending Industry-Leading Detection to All Data Sources
Attacks can come from anywhere — network devices, email gateways, user credentials, IoT, and more — and target anything. To deliver complete visibility and protection, next-gen SIEMs connect the dots to correlate data and uncover the stealthiest attacks.
They detect techniques across the entire cyber kill chain with out-of-the-box correlation rules mapped to both specific adversaries and the MITRE ATT&CK® framework. Hundreds of precision-engineered correlation rules, combined with thousands of AI-powered IOAs for key data sources like endpoint data, empower teams to detect nearly any type of attack.
