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Source Anomali.webp Anomali
Identifiant 3357142
Date de publication 2021-09-09 14:00:00 (vue: 2021-09-09 14:05:37)
Titre Optimizing Your Cybersecurity with Intelligence-Powered Detection
Texte 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 the revised intelligence requirements back to the SOC, reflecting any changes in vulnerabilities. Intelligence-Powered Threat Detection Implementing an effective collaborative system with two-way fluid communication requires intelligence-powered threat detection. Detection enables intelligent orchestration through your security organization and ensures that the global intelligence is relevant. Machine learning is leveraged to make sure severity scoring is conducted quickly and effectively. An intelligence-driven platform can process millions of indicators of compromise (IoCs) and billions of internal log entries, operationalizing threat data and automatically showing security teams what is relevant to them and which data are actionable intelligence. The identified indicators of interest can then be fed directly to the endpoints and firewalls for blocking.   Extended Detection and Response or XDR Extended detection and response or XDR is a security framework that unifies threat detection and response into a single platform. It collects and correlates data automatically from disparate security components installed in a customer's environment. XDR can provide better security than isolated tools by reducing the complexity of security configuration and incident response.  For example, you can extinguish smoldering fires using XDR, as big data support on the backend enables quick indexing and searches going back years. Alert fatigue is relieved by the automated updating of IRs and allowing threat intelligence teams to focus on relevant IoCs. And, because it bridges different tools and systems, XDR can also facilitate feedback loops between cybersecurity teams and stakeholders. Vendor-agnostic XDR platforms
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