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Top 10 list of AI tools for network security and monitoring

Top 10 AI tools for network security and monitoring in 2024, along with their key features, pros, cons, and ideal user scenarios.

This article presents a curated list of the top 10 AI tools reshaping how organizations protect and oversee their network infrastructures.

From advanced threat detection platforms like Check Point Software Technologies and Fortinet FortiGuard to predictive AI technologies that forecast cybersecurity trends, these tools offer comprehensive solutions tailored to meet evolving security challenges.

Top 10 list of AI tools for network security and monitoring

top 10 list of AI tools for network security and monitoring
  1. Check Point Software Technologies: Known for its ThreatCloud AI platform and Quantum security features, it’s best for data loss prevention and protecting against Gen V cyberattacks. Ideal for organizations needing advanced threat prevention across multiple domains. However, it might be pricey and has a steep learning curve​
  2. Fortinet FortiGuard: Offers AI-powered threat intelligence and real-time analysis. It’s suited for preventing zero-day threats and integrates well across Fortinet’s security solutions. Despite its rich feature set, some users report a steep learning curve and customer support issues​​.
  3. Fortra Intermapper: An on-premises network monitoring tool that runs on macOS, Windows, and Linux. It’s a cost-effective choice for small to medium businesses, offering automated monitoring and live throughput graphs. The free version is limited to monitoring five devices​​.
  4. ExtraHop Reveal(x): Uses AI to identify illogical behavior and potential security threats, making it suitable for mid-sized to large companies. It offers UEBA, multi-site operations, and device discovery. However, its complexity may not suit small businesses​​.
  5. Aryaka: Predicts consolidation in tech stacks and increased reliance on MSPs for AI implementation in network security. It suggests a shift towards more integrated security solutions combining stateful inspection and proxy technologies​​.
  6. TechTarget Predictions: Highlights the importance of endpoint-based enforcement for network security and anticipates major acquisitions in the network security market in 2024. It also suggests AI will reset the cybersecurity insurance industry​​.
  7. Gartner: Foresees generative AI (GenAI) disrupting cybersecurity positively, though not without challenges. It emphasizes the evolution of AI in security products to improve efficiency and usability​​.
  8. SolarWinds Security Event Manager: A log-based SIEM tool that runs on Windows Server, offering UEBA and anomaly detection. It covers all elements of IT infrastructure but lacks a SaaS version​​.
  9. Intruder: A cloud-based security tool that performs constant vulnerability checks. It’s adaptable for businesses of various sizes but may be costly for small businesses. It offers regular or monthly scans and emergency checks​​.
  10. Predictive AI in Cybersecurity: AI is expected to enhance real-time network security by providing advanced monitoring, analysis, and error detection capabilities, particularly through MSPs​​.

These tools represent a blend of AI-driven security and monitoring solutions that cater to various organizational needs, from advanced threat detection to vulnerability scanning and network monitoring.

Businesses should consider their specific security challenges, budget, and technical capability when selecting the most suitable AI tool for enhancing their network security and monitoring efforts.

Author

  • Fredrik Filipsson

    Fredrik Filipsson brings two decades of Oracle license management experience, including a nine-year tenure at Oracle and 11 years in Oracle license consulting. His expertise extends across leading IT corporations like IBM, enriching his profile with a broad spectrum of software and cloud projects. Filipsson's proficiency encompasses IBM, SAP, Microsoft, and Salesforce platforms, alongside significant involvement in Microsoft Copilot and AI initiatives, enhancing organizational efficiency.