Cyber Threat Intelligence (CTI) has become a critical component of modern cybersecurity by enabling organizations to proactively identify, analyze, and mitigate emerging cyber threats. The growing volume, diversity, and sophistication of cyberattacks—including ransomware, Advanced Persistent Threats (APTs), phishing campaigns, zero-day exploits, supply chain compromises, and AI-enabled attacks—have made traditional threat analysis methods increasingly inadequate. Artificial Intelligence (AI), particularly machine learning, deep learning, natural language processing (NLP), large language models (LLMs), and graph-based analytics, is transforming cyber threat intelligence by automating threat detection, accelerating intelligence analysis, correlating heterogeneous data sources, and enabling predictive threat assessment. AI-powered CTI enhances situational awareness, improves decision-making, and strengthens the ability of organizations to anticipate and respond to evolving cyber threats.

The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites original research contributions on Cyber Threat Intelligence Using AI. This track provides an interdisciplinary forum for researchers, cybersecurity professionals, AI scientists, threat analysts, industry practitioners, and policymakers to present innovative research and practical solutions for AI-driven cyber threat intelligence. Contributions addressing intelligent threat collection, automated intelligence analysis, AI-assisted malware analysis, predictive cyber analytics, adversarial AI, secure information sharing, and real-world cyber defense applications are particularly encouraged.

1. AI-Driven Threat Intelligence

• AI-Based Cyber Threat Intelligence

• Machine Learning for Threat Intelligence

• Deep Learning for Cyber Threat Detection

• Large Language Models (LLMs) for Threat Intelligence

• Generative AI for Cyber Threat Analysis

• Natural Language Processing (NLP) for Threat Intelligence

• Knowledge Graphs for Threat Intelligence

2. Threat Detection and Prediction

• AI-Based Threat Detection

• Advanced Persistent Threat (APT) Detection

• Zero-Day Attack Detection

• Emerging Threat Prediction

• Threat Attribution Using AI

• Cyber Kill Chain Analysis

• AI-Based Threat Prioritization

3. Malware and Ransomware Intelligence

• AI-Based Malware Detection and Classification

• Ransomware Detection and Prevention

• Malware Behavior Analysis

• AI-Assisted Reverse Engineering

• Malware Family Classification

• Fileless Malware Detection

4. Network and Endpoint Threat Intelligence

• AI-Based Network Traffic Analysis

• Network Anomaly Detection

• Endpoint Threat Detection and Response (EDR)

• Extended Detection and Response (XDR)

• User and Entity Behavior Analytics (UEBA)

• Insider Threat Detection

5. Threat Hunting and Incident Response

• AI-Assisted Threat Hunting

• Automated Incident Response

• Security Orchestration, Automation, and Response (SOAR)

• AI for Security Information and Event Management (SIEM)

• Threat Intelligence-Driven Incident Response

• AI-Based Digital Forensics

6. Vulnerability Intelligence

• AI for Vulnerability Discovery

• AI-Assisted Vulnerability Assessment

• Common Vulnerabilities and Exposures (CVE) Analysis

• Vulnerability Prioritization

• Exploit Prediction Using AI

• Patch Management Intelligence

7. Threat Intelligence Sharing

• Threat Intelligence Platforms (TIPs)

• Threat Intelligence Sharing and Collaboration

• STIX/TAXII-Based Threat Intelligence

• Cyber Threat Knowledge Graphs

• Secure Threat Information Exchange

• Blockchain for Threat Intelligence Sharing

8. AI Security and Adversarial Threats

• Adversarial Machine Learning

• AI Model Poisoning Attacks

• Evasion Attacks Against AI-Based Detection Systems

• AI Model Robustness for Threat Intelligence

• Explainable AI (XAI) for Threat Intelligence

• Trustworthy AI for Cyber Defense

9. Domain-Specific Threat Intelligence

• Cloud Threat Intelligence

• IoT and Edge Threat Intelligence

• Industrial Control Systems (ICS) Threat Intelligence

• Operational Technology (OT) Threat Intelligence

• Critical Infrastructure Threat Intelligence

• Mobile and Wireless Threat Intelligence

10. Privacy, Governance, and Compliance

• Privacy-Preserving Threat Intelligence

• AI Governance for Threat Intelligence

• Ethical AI in Cyber Threat Intelligence

• Regulatory Compliance for Threat Intelligence

• Threat Intelligence Risk Assessment

• AI Security Standards

11. Emerging Technologies

• Autonomous Cyber Threat Intelligence

• Multi-Agent AI for Threat Intelligence

• Federated Learning for Threat Detection

• Quantum-Aware Threat Intelligence

• Digital Twins for Threat Analysis

• AI-Driven Cyber Deception Technologies

12. Evaluation, Benchmarking, and Case Studies

• Threat Intelligence Evaluation Metrics

• AI Benchmarking for Threat Detection

• Cyber Threat Intelligence Datasets

• Real-Time Threat Intelligence Systems

• Threat Intelligence Visualization

• Case Studies in AI-Based Cyber Threat Intelligence

• Threat Intelligence for Security Operations Centers (SOCs)