Are Traditional Security Management Systems State-of the Art to Tackle Cyberattacks such as IoT Botnets and Ransomware? | Events | IDC CEMA

Security organizations already find themselves overwhelmed with the volume, variety, and velocity of security data alerts. It is not uncommon for a large organization to receive over 10,000 security alerts per day. Resulting from a combination of duplicate information, false alerts from faulty intelligence data, and the limited capacity of security analysts, only a small portion of alerts are even investigated.  As a result, new approaches to security management incorporating security analytics, machine learning, and automation are required. Multi-dimensional security analytics which correlate data from multiple domains helps identify anomalies that might be suspicious, malicious, or inadvertent and help provide context intelligence regarding the nature of the threat, threat vectors used, associated business risk and recommended mitigation.

Combined with threat intelligence data, security analytics helps answer these questions to more effectively detect threats and to prescribe the appropriate response – strategic threats require strategic mitigation.Security operations workflow automation and orchestration are at the heart of the transition from static defense to agile and adaptive response. Automation is the process executing repeatable actions without human intervention while orchestration is the concept chaining these automated tasks into executed playbooks to perform workflows to accelerate both investigation and mitigation.

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