What are the most effective AI tools for detecting phishing attacks?

What are the most effective AI tools for detecting phishing attacks?

October 10, 2024·İbrahim Korucuoğlu
İbrahim Korucuoğlu

In 2024, the landscape of phishing attacks has evolved significantly, with cybercriminals leveraging artificial intelligence (AI) to create more sophisticated and convincing scams. To combat these threats, several advanced AI tools have emerged that enhance detection and prevention capabilities. Here are some of the most effective AI tools for detecting phishing attacks:

1. Graphus

Graphus employs a patented TrustGraph algorithm that analyzes email communications using over 50 points of comparison, including sender behavior and established communication patterns. This AI-driven solution is reported to be up to 40% more effective than conventional security systems in stopping phishing attempts. Key features include:

    - ***Automated Quarantine*** : Malicious messages are automatically quarantined based on their analysis.
    • EmployeeShield Alerts : Provides alerts for suspicious emails from unexpected sources, allowing users to classify messages easily.
    • Continuous Learning : The system improves over time as it learns from detected phishing attempts and user interactions[1].

    2. Lepide Data Security Platform

    Lepide utilizes machine learning techniques to establish a baseline of normal user behavior. It can identify anomalies such as unusual email volume or sending patterns, which helps detect potential phishing attempts. Features include:

      - ***Real-Time Alerts*** : Sends notifications to relevant personnel when suspicious activities are detected.
      • Sensitive Data Discovery : Monitors and classifies sensitive data to prevent exfiltration through phishing attacks[2].

      3. Perception Point

      This solution combines advanced AI-powered threat prevention with managed incident response services. It uses large language models (LLMs) to identify signs of generative AI in phishing messages, making it effective against highly personalized attacks. Key capabilities include:

        - ***Multi-Layered Architecture*** : Intercepts various types of threats, including social engineering and file-based attacks.
        • Dynamic Scanning : Provides real-time analysis and detection across different platforms[3].

        4. VISUA’s Visual-AI

        VISUA employs computer vision technology to analyze emails and web pages at machine speed, flagging high-risk elements based on visual signals rather than just code analysis. This approach allows for:

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