The increasing complexity and sophistication of cyber threats have made cybersecurity a collaborative effort between human expertise and Artificial Intelligence (AI). While AI technologies have significantly enhanced threat detection, malware analysis, vulnerability assessment, incident response, and security automation, human analysts remain indispensable for strategic decision-making, contextual reasoning, ethical judgment, and handling complex cyber incidents. Effective collaboration between humans and AI enables Security Operations Centers (SOCs) to improve threat awareness, reduce response times, minimize analyst fatigue, and enhance the overall resilience of cybersecurity operations. Achieving this synergy requires the development of transparent, trustworthy, explainable, and human-centric AI systems that complement rather than replace human expertise.

Advances in machine learning, Large Language Models (LLMs), generative AI, explainable AI (XAI), reinforcement learning, and intelligent decision support systems are transforming the way security analysts interact with AI-powered tools. However, challenges such as AI transparency, trust calibration, cognitive workload, adversarial manipulation, bias, privacy, accountability, and regulatory compliance remain critical barriers to effective human-AI collaboration. Addressing these challenges is essential for building secure, reliable, and responsible AI-assisted cybersecurity systems capable of defending against evolving cyber threats.

The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites original research contributions on Human-AI Collaboration in Cybersecurity. This track provides an interdisciplinary forum for researchers, cybersecurity professionals, AI scientists, human-computer interaction (HCI) experts, cognitive scientists, industry practitioners, and policymakers to present innovative research on collaborative intelligence for cyber defense. Contributions addressing AI-assisted decision support, explainable security analytics, human-centered AI design, adaptive automation, collaborative threat hunting, AI governance, and real-world applications are particularly encouraged.

1. Human-Centered AI for Cybersecurity

• Human-AI Collaboration in Cyber Defense

• Human-Centered AI Design

• Human-in-the-Loop (HITL) Security Systems

• Human-on-the-Loop AI

• Human-AI Teaming for Cybersecurity

• Collaborative Intelligence for Security Operations

• Human Factors in AI-Driven Cybersecurity

2. AI-Assisted Security Operations

• AI-Assisted Security Operations Centers (SOC)

• AI-Augmented Threat Hunting

• AI-Assisted Incident Response

• AI-Powered Security Analytics

• AI-Driven Security Automation

• AI for Security Decision Support

• AI-Based Alert Prioritization

3. Explainable and Trustworthy AI

• Explainable Artificial Intelligence (XAI) for Cybersecurity

• Trustworthy AI for Security Operations

• Transparent AI Decision-Making

• AI Explainability for Security Analysts

• Fairness and Bias in AI Security Systems

• AI Accountability and Governance

4. Large Language Models and Generative AI

• Large Language Models (LLMs) for Cybersecurity

• Generative AI for Security Operations

• AI Copilots for Security Analysts

• AI-Assisted Security Reporting

• AI-Powered Knowledge Management

• Prompt Engineering for Cybersecurity Applications

5. Threat Detection and Intelligence

• AI-Assisted Threat Detection

• Collaborative Threat Hunting

• AI-Based Cyber Threat Intelligence

• User and Entity Behavior Analytics (UEBA)

• Network Anomaly Detection

• AI-Based Malware Analysis

• AI for Vulnerability Assessment

6. Incident Response and Digital Forensics

• AI-Assisted Incident Response

• Human-AI Collaboration in Digital Forensics

• AI-Based Root Cause Analysis

• Automated Evidence Collection

• AI-Assisted Attack Attribution

• Post-Incident Analysis and Learning

7. Adaptive Automation and Decision Support

• Adaptive Security Automation

• Context-Aware Cyber Defense

• AI-Based Risk Assessment

• Cognitive Decision Support Systems

• Interactive Security Dashboards

• AI-Assisted Cyber Risk Management

8. Privacy, Ethics, and Governance

• Ethical AI in Cybersecurity

• Privacy-Preserving AI Systems

• AI Governance Frameworks

• Regulatory Compliance for AI

• Responsible AI for Cyber Defense

• Human Oversight of Autonomous Security Systems

9. Adversarial AI and Resilience

• Adversarial Machine Learning

• Human-AI Collaboration Against Adversarial Attacks

• AI Robustness and Resilience

• Secure AI Model Deployment

• AI Model Validation and Verification

• Defensive AI Strategies

10. Cybersecurity Education and Training

• AI for Cybersecurity Education

• AI-Assisted Cyber Range Training

• Intelligent Security Simulations

• Human-AI Collaborative Learning

• AI-Based Skill Assessment

• Gamification for Cybersecurity Training

11. Emerging Technologies

• Multi-Agent AI for Cyber Defense

• Autonomous Security Agents

• Federated Learning for Collaborative Security

• Blockchain and AI Collaboration

• Digital Twins for Cybersecurity

• Edge AI for Human-AI Collaboration

• AI Agents in Security Operations

12. Evaluation, Benchmarking, and Applications

• Human-AI Collaboration Evaluation Frameworks

• Usability Studies for AI Security Tools

• AI Performance Benchmarking

• Security Analyst Experience and Productivity

• Case Studies in AI-Assisted Cybersecurity

• Industrial Applications of Human-AI Collaboration

• Best Practices for Human-AI Teaming