The reality is that cybersecurity threats are becoming more advanced and more persistent. This demands an incredible amount of effort by security analysts to sift through countless incidents.
IBM Security® QRadar® SIEM applies machine learning and user behavior analytics to network traffic alongside traditional logs, providing analysts with more accurate, contextualized and prioritized alerts. QRadar SIEM makes threat detection smarter so you can remediate faster while maintaining your bottom line.
Explore the integration of QRadar SIEM and X-Force® Threat Intelligence
Download the 2022 Gartner Magic Quadrant for SIEM
Use near real-time analytics to intelligently investigate and prioritize high-fidelity alerts based on the credibility, relevance and severity of the risk.
Machine-learning based analytics identify anomalies as potential threat actors against a baseline determined by both individual activity and that of a learned peer group.
QRadar SIEM augments traditional log data by monitoring key network flow data so you increase the scope of protection provided.
Get all the benefits of QRadar SIEM without needing to invest in hardware and software.
License flexible consumption of the full suite of capabilities.
Features
Get a deeper view into your network with supported external flow protocols.
Access more than 450 device support modules (DSM) and more than 370 applications to capture activity across your environment.
Utilize deep integration with 10 AWS native services to ingest a broad spectrum of AWS logs and network flows into QRadar SIEM.
QRadar SIEM seamlessly incorporates network behavior data into threat analysis to correlate and detect threats.
UBA provides greater visibility into insider threats to uncover anomalous behavior, quickly identify risky users and generate meaningful insights.
The latest malicious IP addresses, URLs and malware file hashes from X-Force® Threat Intelligence and other threat intelligence sources help you find threats quickly.
Complex algorithms calculate a magnitude score that is used to prioritize alerts so you can focus on the most critical alerts first.
Machine learning analytics identify anomalous user behavior and will provide an aggregated ranking of users in your environment.
Responding to advanced threats is resource intensive, time consuming and time sensitive. Accelerate detection with visibility and AI.
Generate comprehensive intelligence and help your analysts hunt for cyberthreats in near real time by turning disparate data sets into action.
Fast ransomware attacks demand faster responses. With attackers moving faster, organizations must take a proactive, threat-driven approach to cybersecurity.
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"We wanted a tool that was easy to use and didn't require substantial amounts of training for users to be able to pivot and search through data to both see event logs and do network traffic analysis,” says Andrew Frank, Manager of IT Security Services, Mohawk College.
“We implemented IBM QRadar SIEM in a week’s time, with the QRadar Advisor component requiring under a day to get up and running,” says Ramprasath R, founder and Director of Secbounty Services.
“IBM did exactly what we were expecting. They were super flexible. They listened to our demands. And they came up with the right solutions,” says Thomas Strieder, VP Group IT Security and Operation Services, Andritz.
IBM consulting services help you assess your threat strategies, unite security operations and response, improve your security posture and migrate to the cloud with confidence.
Explore the full QRadar Suite
Detect and eliminate threats faster with a modernized product suite designed to unify the security analyst experience.
QRadar EDR, formerly ReaQta, provides security analysts with deep visibility across the endpoint ecosystem. You can integrate QRadar EDR with QRadar SIEM with no impact to your EPS count.
QRadar Log Insights helps ease the security analyst’s workload with a cloud-native log management and security observability solution that can handle an enterprise workload.
QRadar SOAR orchestrates and automates responses to the high-fidelity alerts that SIEM identifies and provides actionable insight on remediating threats.
Footnotes
*The Total Economic ImpactTM of IBM Security QRadar SIEM is a commissioned study conducted by Forrester Consulting on behalf of IBM, April, 2023. Based on projected results of a composite organization modeled from 4 interviewed IBM customers. Actual results will vary based on client configurations and conditions and, therefore, generally expected results cannot be provided.