Authors: Lampis Alevizos, Martijn Dekker

Published on: March 05, 2024

Impact Score: 7.2

Arxiv code: Arxiv:2403.03265

Summary

• What is new: Exploring the integration of AI into CTI for automating and enhancing tasks, and providing a blueprint of an AI-enhanced CTI processing pipeline.
• Why this is important: Traditional Cyber Threat Intelligence methods are struggling to keep up with the evolving complexity of cyber threats.
• What the research proposes: An AI-enhanced CTI processing pipeline that collaborates AI and human expertise for timely, high-fidelity cyber threat intelligence and automated mitigation recommendations.
• Results: The paper highlights the potential for AI to automate and enhance CTI tasks, though it also notes challenges such as ethical dilemmas and biases that need addressing.

Technical Details

Technological frameworks used: AI-enhanced CTI processing pipeline

Models used: Advanced AI models for cyber defences and human-AI collaboration optimization

Data used: Cyber threat intelligence data

Potential Impact

Cybersecurity firms, IT departments across various industries could benefit; potentially disrupts traditional CTI solutions.

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