Editor's note
Security information and event management technology has traveled a long and winding road, but today enterprise SIEM technology is as functional, manageable and affordable as it's ever been. Yet many enterprises haven't implemented a modern SIEM product, and others that have aren't taking full advantage of the advanced capabilities of contemporary products. In this Essential Guide, learn to develop or refresh your enterprise SIEM strategy to set the stage for SIEM success today and tomorrow according to how you best define SIEM for your business.
1SIEM operational best practices
Explore SIEM's role in rapid attack detection. Learn how to succeed with SIEM intrusion monitoring.
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Article
SIEM best practices for advanced attack detection
SIEM struggles are common, but Mike Rothman explains why SIEM products are critical for advanced attack detection, and describes the SIEM tuning process step by step. Read Now
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Article
Why focus on SIEM integration, coverage maximizes anomaly detection
Reliable anomaly detection using a SIEM hinges on collecting a wide range of security events. Andrew Hutchison covers SIEM integration best practices. Read Now
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Article
Should IDS and SIM/SEM/SIEM be used for network intrusion monitoring?
Is it enough just to monitor log data, or does that data need to be fed into a SIM/SEM/SIEM product in order to ease the data analysis process? Network security expert Mike Chapple weighs in. Read Now
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Article
Securing the SIEM system: Control access, prioritize availability
The prospect of a SIEM system crash should scare any enterprise. Guard against a compromised SIEM system to protect the security nerve center. Read Now
2SIEM 2.0: Emerging security data strategies
Prepare for what's next for SIEM and related technologies; assess the growing importance of big data for security analysis.
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Article
SIEM vendors make the case for extending SIEM product capabilities
Advanced features reduce the threat of wire fraud. New rule sets can be shared among banks and credit unions. Read Now
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Article
A framework for big data security
Organizations are entranced with big data but need to acknowledge the security risks and plan accordingly. Read Now