The recent large-scale cyberattacks have shown that any organization, regardless of size or industry, may be targeted at any time. Despite deploying multiple tools, security teams struggle to pinpoint relevant threats, wasting time sifting through incoming data and false positives and cannot act swiftly to real threats facing their business.
A recent Dark Reading study revealed that while many organizations have improved their threat detection capabilities over the last few years, they lack threat visibility and are still reliant on too many manual processes. These shortcomings in combating cyber threats result in alert fatigue, smoldering fires, and siloed threat intelligence.
The question then becomes:
“How can my organization optimize its threat detection system?”
Threat Detection as Process
There are multiple ways to detect a potential threat. These can include global threat intelligence, human expertise in threat identification, and advanced tools for identifying malicious activity. While all are essential elements, they need to working effectively to create an optimized security program. Too often, the security process goes in one direction, from threat intelligence gathering to analysis and monitoring by the security operations center (SOC) and then on to security engineering to prioritize remediation.
Creating a collaborative system with feedback loops between security teams and other key stakeholders is a much more effective way to avoid siloed intelligence and rapidly identify relevant threats. In this security ecosystem approach, the threat intel team automates intelligence gathering, prioritizes against intelligence initiatives, and incorporates any new requirements coming from security engineering. The SOC then monitors and prioritizes the continually updating threat requirements to help the threat team find relevant attacks. Security engineering prioritizes remediation and then feeds ..
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