AI-Based Tools You Can Use for Network Data Analysis and Cyber Security
Artificial intelligence (AI) has revolutionized the way in which networked systems are protected against cyber attacks. AI-based applications, powered by advanced chatbots, are now prevalent in various industries such as healthcare, retail, and finance.
The introduction of ChatGPT by OpenAI paved the way for the development of several AI chatbots catering to diverse applications. Some notable releases post ChatGPT include Gemini, Perplexity, Chatpdf, Bolt, and Lovable, with many more currently in the pipeline for various domains.
The global market size of AI surpassed US$ 200 billion in 2023 and is anticipated to grow at a CAGR of approximately 36% from 2023 to 2030. AI not only aids in content creation but also finds extensive applications in digital forensics and network management, encompassing cyber forensics, network analytics, and information security.
Key Applications and Use Cases of AI in Cybersecurity and Network Management
Several AI-based open source tools have gained popularity for cyber forensics and network analytics. Here are a few noteworthy tools:
Wazuh
Wazuh is an open source monitoring tool that integrates AI-powered endpoint security, log analysis, and evaluations. It offers a unified platform for comprehensive protection, leveraging extended detection and response (XDR) and security information and event management (SIEM) capabilities.
Wazuh's features include malware detection, configuration assessment, file integrity monitoring, regulatory compliance, incident response, IT hygiene, log data analysis, threat hunting, vulnerability detection, and cloud security mechanisms like posture management, container security, and workload protection. It is ideal for securing multiple endpoints and digital infrastructure with high-performance security and privacy-focused applications.
MISP
MISP is a high-performance platform that utilizes AI for threat intelligence, analytics, and detection and correlation of cyber threats. It is extensively used for storing, sharing, and collaborating on malware and cyber security operations, focusing on preventing cyber frauds, threats, and attacks.
Zeek
Zeek serves as an AI-integrated traffic analysis and network monitoring tool, predicting malware and suspicious network traffic in digital infrastructure.
Snort
Snort is an intrusion detection system (IDS) that aids in network threat detection, offering AI-based models for enhanced network management and analytics.
Suricata
Suricata is an open source IDS/IPS tool equipped with threat detection features, integrating AI for deep data analytics and digital infrastructure evaluation.
Yara
Yara specializes in malware detection and classification of attacks based on specific network signatures, facilitating effective attack assessment through rule-based programming.
OpenVAS
OpenVAS is a multifaceted scanner designed to identify various vulnerabilities and attacks in network environments, enabling protocol evaluation and prioritization.
ClamAV
ClamAV is a high-performance platform utilized for detecting and evaluating malware, viruses, Trojans, and other malicious threats, with a focus on file scanning and signature analytics.
osquery
osquery emphasizes testing, analytics, and endpoint security, prioritizing thread safety and memory leak prevention. It facilitates querying systems to capture crucial data for forensic analysis and predictive analytics.
These tools and frameworks cater to a wide range of security issues such as malware, Trojans, vulnerabilities, log files, and more, making them invaluable assets for cyber security professionals and network administrators.
