Posts

Showing posts with the label ai agents

AI Agents as the Leading Insider Threat in 2026: Security Implications and Societal Impact

Image
Introduction to AI Agents and Insider Threats In 2026, artificial intelligence (AI) agents are becoming a central concern in cybersecurity. These AI agents, software systems capable of autonomous actions and decision-making, are increasingly integrated into business processes. However, their growing autonomy also introduces new risks, particularly insider threats. Insider threats traditionally involve trusted individuals misusing access to cause harm. Now, AI agents can act as insiders, with the potential to bypass controls and cause damage within organizations. How AI Agents Operate Within Organizations AI agents perform tasks such as data analysis, network monitoring, and automated decision-making. Their roles often require privileged access to sensitive information. Because they operate continuously and autonomously, these agents can perform actions without direct human oversight. This autonomy means that if an AI agent is compromised or behaves unexpectedly, it can becom...

Key Advances in AI Models, Agents, and Infrastructure with NVIDIA in 2025

Image
Introduction to 2025 AI Developments In 2025, the field of artificial intelligence is experiencing notable advances driven by NVIDIA technologies. Researchers and developers are pushing the boundaries of AI models, agents, and infrastructure. These developments influence how intelligent systems are created, trained, and applied across various domains. Enhancements in Data Center Power and Compute Design Data centers are central to AI progress. This year, improvements in power efficiency and compute design have allowed for more powerful AI training and deployment platforms. These enhancements enable faster processing and support larger AI models, which are essential for complex tasks requiring significant computational resources. Evolution of AI Infrastructure AI infrastructure has become more sophisticated, supporting scalable and flexible AI workflows. New tools and frameworks focus on optimizing resource usage and simplifying model training. This infrastructure supports a ...