Agentic AI in Healthcare: From Assistance to Autonomy
Healthcare is one of the most data-rich and complex industries in the world. With electronic health
records (EHRs), medical imaging, genomics, wearable devices, and clinical trial data, the
challenge lies not in scarcity of information but in making sense of it at scale. Traditional AI
systems have shown promise in diagnostics, drug discovery, and patient management, but they
largely function as reactive systems providing outputs only when prompted.
Building Next-Generation Intelligent Intrusion Prevention Systems
The convergence of traditional IDS/IPS technologies with AI-based systems will mark a major paradigm shift in the continuously evolving field of Cybersecurity.
Snort3 (the third version of the world’s most broadly adopted Open-Source IDS/IPS) was architected to provide extensibility and intelligence.In this article, we will explain how the modular architecture of Snort3 can synergize with today’s AI and Agentive AI Systems for Threat Detection, Response, and Autonomous Security Operations.