INDUSTRY VIEW

GABRIEL LIMA , SALES ENGINEER AT HILLSTONE BRAZIL

Gabriel Lima , Sales Engineer at Hillstone Brazil , explains how AI can enhance and speed up threat detection and response .

In the context of APTs , traditional security measures such as signature-based protection are no longer sufficient to combat evolving threats . That ’ s where the AI-driven Network Detection and Response ( NDR ) strategy comes into play . This approach elevates the digital maturity of the organization .

AI and Machine learning join forces

AI-based NDR solutions use Machine Learning algorithms to continuously monitor network traffic and detect anomalies . By establishing a foundation of normal traffic patterns , these solutions are able to identify deviations that may indicate potential threats . This advanced threat detection capability is crucial for identifying and mitigating criminal actions before they can cause significant damage .

The visibility provided by AI-based NDR solutions is another critical component of this picture . These platforms provide deep visibility through comprehensive monitoring dashboards , displaying real-time information about risk trends , IOC events and geographic distribution of threats . This granular visibility enables security teams to quickly identify and address potential threats while maintaining a strong security posture . Detailed monitoring of server traffic , threat intelligence and vulnerabilities ensures that security professionals have the information they need to make informed decisions .

Analytics capabilities are also a highlight of AI-based NDR solutions . These solutions provide rich data for analysis , including

detailed threat intelligence , Packet Capture ( PCAP ) analysis , and recommended strategies for remediation of detected threats .

This data is used to understand attack vectors and identify compromised endpoints – even if the endpoint does not have defense solutions implemented on the computer or smartphone . By mapping threats to the MITRE ATT & CK framework , security analysts can better understand the techniques used by attackers and trigger appropriate mitigation actions .

Integration with other security platforms

Integration with other security solutions , such as Next-Gen firewalls and XDR platforms , further enhances threat responsiveness . The goal is to ensure continuous monitoring and protection of companies ’ digital environments .

In this model , Machine Learning algorithms perform the analysis of huge amounts of data . The goal is to speed up the identification of patterns and anomalies that indicate potential threats . With real-time monitoring and detailed dashboards , the CISO can identify and block threats , protecting their organization ’ s business processes . •

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