How Artificial Intelligence Transforms Security Operations Security Operations Centers (SOCs) face a growing operational challenge: overwhelming alert volumes. Modern enterprise environments generate thousands of security notifications daily across endpoint, network, identity, cloud, and application layers. This continuous stream of alerts creates what the industry describes as alert fatigue, a condition where analysts are overwhelmed by
Cybersecurity Awareness plays a critical role in today’s highly interconnected digital environment. Organizations allocate significant resources to advanced security technologies such as firewalls, endpoint detection solutions, cloud security frameworks, and AI-powered threat monitoring systems. However, despite these sophisticated defenses, attackers continue to breach organizations—frequently by targeting the weakest point in the security architecture: This is
When “Secure by Design” Fails at the Edge Firewalls are still widely treated as the first and final line of defense. Once deployed, configured, and updated, they are often assumed to be a stable control that quietly does its job in the background. Recent ransomware incidents suggest that the assumption is becoming dangerous. In early
Email attachments remain one of the most trusted entry points into enterprise environments. Despite years of awareness training and secure email gateways, attackers continue to rely on documents because they blend seamlessly into everyday workflows. New reporting from The Hacker News details how APT28, a Russia-linked threat actor, is actively exploiting a newly disclosed Microsoft
One vendor. Many engines. The same security problems. In boardrooms across the globe, a compelling narrative dominates enterprise security strategy: consolidate the security stack to reduce complexity, lower costs, and improve operational efficiency. Fewer vendors promise simpler management, cleaner procurement, and a stronger security posture through tighter integration. On paper, the logic is difficult to
AI dominates headlines, yet one cornerstone of security operations keeps evolving to meet today’s threats. Security Information and Event Management (SIEM) has come a long way from basic logging. Modern platforms unify threat detection, investigation, and response with automation, context, and AI, so analysts can act faster and with confidence. That is the focus of our new Next-gen SIEM Buyer’s Guide.
Why this guide now
Many teams are still wrestling with legacy SIEMs that were built for storage and compliance, not for today’s hybrid environments or AI-enabled adversaries. The market is crowded and the language is inconsistent, which makes evaluation tough. This guide cuts through the noise with a practical definition of next-gen SIEM and a clear set of evaluation criteria grounded in outcomes, not buzzwords. It explains how a SIEM should help you see more, decide faster, and respond with precision, by pairing analytics with automation and exposure context.
In this guide you will learn the core capabilities that define a next-gen SIEM, including high-fidelity data ingestion, curated detections, AI-assisted triage, automation, and integrated exposure context. Next, you’ll better understand how to assess platforms for usability, scalability, and total cost of ownership without sacrificing effectiveness. Finally, we will offer some questions to ask vendors so you can separate claims from proof and align the solution to your team’s workflows and maturity. The guide also highlights where SIEM sits alongside adjacent tools and why data quality, context, and integrated workflows matter more than feature lists.
Who should read it
Security leaders and practitioners who are evaluating SIEMs, planning a modernization, or looking to improve analyst efficiency and overall SOC performance will find practical guidance they can use in vendor conversations and internal planning. If your goals include reducing false positives, accelerating investigation and response, and tying detections to business risk, this guide will help you level set your needs with the right requirements.
How Rapid7 approaches next-gen SIEM
Rapid7’s approach brings detection and response together in a single, streamlined experience that helps analysts identify, investigate, and contain threats faster. Rapid7’s next-gen SIEM delivers curated detections mapped to attacker behavior, reducing false positives and surfacing high-priority alerts with clear context. Integrated investigation and response workflows guide analysts from alert to action within one interface, linking threat intelligence, identity, and asset data to drive faster, more confident decisions. Built on the Rapid7 Command Platform, this unified approach consolidates visibility across endpoints, networks, cloud, and SaaS environments, enabling coordinated detection and response without tool sprawl.
Get the guide
Download Rapid7’s Next-Gen SIEM Buyer’s Guide to learn how to evaluate platforms that deliver measurable detection and response outcomes, not just more data. If you want to see how these principles show up in the product, explore the Rapid7 Command Platform.
Security teams have long depended on SIEM tools as the backbone of threat detection and response. But the threat landscape, and the technology required to defend against it, has changed dramatically.
Rapid7’s new whitepaper, The End of Legacy SIEM and the Rise of Incident Command, examines why legacy SIEM models can no longer keep up with the scale and complexity of modern attacks, and why next-gen SIEMs (like that offered by Rapid7) combined with exposure management capabilities is the better choice in combatting modern enemies.
A turning point for the SOC
When SIEM first emerged, it was a breakthrough. For the first time, organizations could centralize log data, generate compliance reports, and detect threats from a single pane of glass. But two decades later, that approach is showing its age.
Today, data is distributed across cloud, on-prem, and hybrid environments. Adversaries are using artificial intelligence to automate and accelerate increasingly complex attacks that are escaping detection. Analysts are overwhelmed by alert fatigue and unpredictable costs that hamper visibility.
Legacy SIEM tools were built to collect data. They rely on rigid pricing models, static correlation rules, and constant manual upkeep. These systems slow down investigations and prevent analysts from focusing on the alerts that truly matter. Modern attackers exploit exposures faster than human teams can respond. Without automation, context, and clear prioritization, organizations remain in a reactive state.
What comes after SIEM?
The whitepaper outlines how the security industry is shifting toward a unified approach that combines SIEM, Security Orchestration and Automation (SOAR), Attack Surface Management (ASM), and threat intelligence in one platform, augmented by artificial intelligence.
This new model emphasizes automation, machine learning, and contextual awareness while collecting data from a wider variety of sources than SIEMs were originally designed for. It gives security teams the ability to identify and act on high-impact threats quickly. It also changes how organizations think about risk, focusing less on collecting alerts and more on understanding exposure across assets, identities, and vulnerabilities.
Introducing Rapid7 Incident Command
At the center of this shift is Rapid7 Incident Command, a unified platform that redefines modern detection and response. Trained on trillions of real-world alerts from Rapid7’s 24/7 Managed Detection and Response (MDR) service, Incident Command can accurately classify benign activity 99.93 percent of the time. This precision saves hundreds of analyst hours each week and drastically reduces noise.
Incident Command connects exposure data directly to detection logic, helping analysts see which threats are most likely to impact their organization. Built-in automation enables teams to isolate hosts, revoke credentials, or run response playbooks, while keeping humans in control of every action.
With asset-based pricing and a fast, cloud-based deployment model, organizations can scale visibility and response without the fear of surprise costs or drawn-out implementations.
A new chapter for defenders
Legacy SIEM served its purpose, but it was built for a different era. The modern SOC requires a platform that is unified, intelligent, and focused on outcomes.
The End of Legacy SIEM and the Rise of Incident Command explores how this transformation is reshaping detection and response for security teams everywhere.
Read the full whitepaper to learn why the future of SIEM is already here and how you can take command of what comes next.
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