AI-powered threat detection and incident response

AI-powered threat detection and incident response

AI-powered threat detection and incident response is revolutionizing modern cybersecurity by enabling organizations to identify, analyze, and mitigate cyber threats with greater speed, accuracy, and intelligence than traditional security approaches. As cyberattacks become increasingly sophisticated, leveraging Artificial Intelligence (AI), Machine Learning (ML), deep learning, and behavioral analytics has become essential for detecting advanced persistent threats (APTs), zero-day exploits, ransomware, phishing campaigns, insider threats, and AI-driven cyberattacks. Intelligent security platforms continuously analyze vast volumes of network traffic, endpoint activity, cloud workloads, and user behavior to identify anomalies, prioritize critical alerts, and automate response actions in real time.

The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites researchers, academicians, cybersecurity professionals, industry experts, government agencies, and technology innovators to present cutting-edge research, practical solutions, and emerging technologies in AI-powered cyber defense. This track focuses on intelligent threat detection, automated incident response, security orchestration, AI-enhanced Security Operations Centers (SOCs), predictive threat intelligence, malware detection, intrusion detection and prevention systems, Extended Detection and Response (XDR), Endpoint Detection and Response (EDR), Security Information and Event Management (SIEM), Security Orchestration, Automation and Response (SOAR), adversarial machine learning, explainable AI (XAI), digital forensics, cloud security, IoT security, and autonomous cybersecurity systems.

Participants will explore the latest advances in AI-enabled cybersecurity frameworks, resilient security architectures, privacy-preserving AI, cyber threat intelligence, and responsible AI for security applications. The track aims to foster interdisciplinary collaboration between academia, industry, and government while addressing the challenges of securing critical infrastructure, enterprise networks, cloud environments, and next-generation digital ecosystems. Through keynote presentations, technical sessions, and interactive discussions, ICCSAI 2027 provides a premier platform for sharing innovative research, exchanging best practices, and shaping the future of intelligent, adaptive, and automated cybersecurity solutions in an increasingly connected world.

Subtopics

  1. AI-Based Threat Detection and Prevention

  2. Machine Learning for Cyber Threat Intelligence

  3. Deep Learning for Malware Detection

  4. Intelligent Intrusion Detection and Prevention Systems (IDS/IPS)

  5. AI-Driven Security Information and Event Management (SIEM)

  6. Security Orchestration, Automation, and Response (SOAR)

  7. Extended Detection and Response (XDR)

  8. Endpoint Detection and Response (EDR)

  9. User and Entity Behavior Analytics (UEBA)

  10. Predictive Cyber Threat Analytics

  11. AI for Advanced Persistent Threat (APT) Detection

  12. AI-Powered Phishing and Social Engineering Detection

  13. Intelligent Ransomware Detection and Mitigation

  14. Zero-Day Attack Detection Using AI

  15. Automated Incident Response and Recovery

  16. AI-Based Threat Hunting

  17. Autonomous Security Operations Centers (AI-SOC)

  18. Explainable AI (XAI) for Cybersecurity

  19. Adversarial Machine Learning and AI Security

  20. AI Model Poisoning and Evasion Attack Detection

  21. AI-Driven Vulnerability Assessment

  22. Intelligent Security Automation

  23. Digital Forensics with Artificial Intelligence

  24. AI-Assisted Cyber Attack Attribution

  25. Real-Time Network Traffic Analysis

  26. Behavioral Biometrics for Threat Detection

  27. Cloud Security Monitoring Using AI

  28. AI for Multi-Cloud Security

  29. Edge and Fog Security Analytics

  30. AI-Based IoT Threat Detection

  31. AI for Industrial Control Systems (ICS) and SCADA Security

  32. Cyber Threat Intelligence Platforms

  33. Security Analytics Using Big Data

  34. Federated Learning for Cybersecurity

  35. Privacy-Preserving AI for Security Applications

  36. Generative AI in Cyber Defense

  37. Large Language Models (LLMs) for Security Operations

  38. AI-Enhanced Security Automation and Orchestration

  39. AI-Based Identity and Access Management (IAM)

  40. Zero Trust Security with AI

  41. AI for Insider Threat Detection

  42. AI in Email and Web Security

  43. AI for Mobile Device Security

  44. AI-Driven Cloud Workload Protection

  45. Autonomous Incident Investigation

  46. AI-Powered Risk Assessment and Prioritization

  47. Intelligent Security Dashboards and Visualization

  48. Cybersecurity Knowledge Graphs

  49. AI for Critical Infrastructure Protection

  50. AI-Driven Compliance Monitoring and Governance

  51. Ethical, Responsible, and Trustworthy AI in Cybersecurity

  52. Human-AI Collaboration in Security Operations

  53. AI for Cyber Resilience and Business Continuity

  54. Secure AI Systems and Model Protection

  55. Quantum-Resistant AI Security Strategies

  56. AI for Threat Intelligence Sharing

  57. Case Studies and Industrial Applications of AI-Powered Cyber Defense