Cloud Security & AI: Challenges & Solutions
AI-driven cloud threat detection, misconfiguration detection, and policy enforcement.
Cybersecurity × AI
AI in Endpoint Protection: Best Practices
AI enables faster detection, context-aware response, and dynamic adaptation to unknown attack vectors in endpoint protection.
Detecting Botnets Using AI & Graph Analysis
Graph-based detection, community detection, and sinkholing strategies.
Ethical & Privacy Concerns of AI in Security
Covers explainability, bias, privacy tradeoffs, and governance when deploying AI in security.
AI Adoption in Security Operations Centers (SOC)
Covers triage automation, analyst workflows, and human-in-the-loop validation.
Using GPT‑style Models for Malware Code Generation
Technical overview of generative models used maliciously and defenses.
Role of Federated Learning in Security Models
Federated learning use-cases, privacy-preserving training, and coordination patterns.
AI for Insider Threat Detection
Discusses behavior baselining, graph analysis, and predictive risk scoring.
Reinforcement Learning for Adaptive Defense Systems
RL approaches for policy learning and adaptive controls in automated defense.
How to Harden AI Models Against Poisoning Attacks
Techniques include robust training, anomaly detection in datasets, and secure aggregation.