Tag: machine-learning
-
Transforming Threat Modeling: How AI and Automation Are Making Security Scalable
Introduction In today’s fast-paced development environments, security can no longer be an afterthought or a manual checkpoint at the end of the development cycle. Traditional threat modeling approaches, while valuable, struggle to keep pace with modern software delivery speeds. Security teams find themselves conducting time-consuming manual workshops that don’t scale, while developers face disruption from…
-
AI-Powered Credential Stuffing: From Prevention to Detection and Response
Credential stuffing is one of the most prevalent cyberattacks today, fueled by billions of stolen username and password pairs from data breaches across the internet. It exploits a simple but dangerous human tendency: reusing the same credentials across multiple sites and services. But in 2025, credential stuffing has evolved into a far more sophisticated threat,…
-
“Security for AI” and “AI for Security”: The Dual Frontier of Cyber Defense
Artificial Intelligence (AI) is no longer just a tool – it’s the foundation of modern enterprise transformation. From revitalizing legacy IVR systems with conversational agents to deploying digital twins and enterprise-grade AI assistants, organizations are rapidly embedding AI across every business function. But as AI’s footprint grows, so too does its threat surface. When every…
CYBERSECURITY AI & RISK MANAGEMENT 