Once YARA identifies a malicious file, ChatGPT enriches the alert with details about the detected threat, helping security teams better understand and respond to the incident. Log analysis and data enrichment: Trained LLMs like ChatGPT can interpret the output of other security solutions after they detect patterns or signatures of malicious activities. Wazuh can integrate with various LLMs to assist security operations in building a cybersecurity assistant for security professionals. Contextual remediation recommendations: Given its ability to understand security-related queries, LLMs could suggest remediation steps based on the context of security incidents. They can provide summarized contextual insights by translating unstructured data from forums and dark web chatter, making threat intelligence data more digestible to security teams. LLMs can enrich security data within a Security Information and Event Management (SIEM) or Extended Detection and Response (XDR) platform. Despite certain limitations, LLMs provide value to security operations by reducing manual effort and offering valuable assistance to security analysts. The blog post Nmap and ChatGPT security auditing with Wazuh shows another use case for improving an organization's security posture by enriching security alerts. Wazuh is an open source security platform that helps organizations detect and respond to security threats by monitoring system activities. These activities are managed within a Security Operations Center (SOC), where a dedicated team analyzes security alerts, investigates possible incidents, and responds to threats in real-time. Traditionally, security operations analysts rely on their teams' research, experience, and collective knowledge to detect and respond to cyber threats. In this proof of concept, the Wazuh Active Response module uses ChatGPT to enrich the YARA scan results, providing additional information about the detected threat. They can also enrich security alerts and analyze text descriptions to help analysts triage and summarize incidents. Such integration can support professionals in handling tasks such as log analysis, incident triage, custom rule creation, and improving overall security insights. LLMs can enrich alerts generated by other threat detection solutions, such as YARA, an open source tool for identifying and classifying malware. Security Operations (SecOps) involves identifying, addressing, and overseeing the reduction of cybersecurity risks within an organization's IT systems. Integration with email security solutions can help prevent sophisticated Business Email Compromise (BEC) and spear-phishing attacks in real-time. This will make it easier for security analysts to understand and act on remediation steps without deep expertise. Security analysts use various tools, including SIEM and XDR, to assist with these tasks. LLMs such as GPT-4 and the Claude 3.5 Haiku are designed to understand, generate, and manipulate human language. Threat intelligence integration: LLMs can assist by processing and summarizing external reports or correlating Tactics, Techniques, and Procedures (TTPs) from threat feeds. In this article, we explore the benefits and capabilities that security professionals can gain by implementing an LLM-powered security assistant.
This Cyber News was published on www.bleepingcomputer.com. Publication date: Thu, 20 Feb 2025 15:05:18 +0000