Future Trends: Quantum, AI & Cybersecurity
Trends at the intersection of quantum-safe cryptography, AI, and autonomous defense.
AI in Identity & Access Management (IAM)
Adaptive authentication, risk-based access, and continuous verification.
AI for Zero-Day Detection: Promise & Limitations
Capabilities, false positive risks, and explainability limits for zero-day detection.
Reviewing AI Threat Intelligence Platforms
Comparative criteria, integration tips, and evaluation metrics for TIPs.
AI + IoT Security: Safeguarding Smart Devices
Edge intelligence, anomaly detection at device level, and privacy-aware IoT monitoring.
Reinforcement Learning for Adaptive Defense Systems
RL approaches for policy learning and adaptive controls in automated defense.
Role of Federated Learning in Security Models
Federated learning use-cases, privacy-preserving training, and coordination patterns.
AI Adoption in Security Operations Centers (SOC)
Covers triage automation, analyst workflows, and human-in-the-loop validation.
Detecting Botnets Using AI & Graph Analysis
Graph-based detection, community detection, and sinkholing strategies.
Cloud Security & AI: Challenges & Solutions
AI-driven cloud threat detection, misconfiguration detection, and policy enforcement.