Agentic Creates

• The rise of agentic AI is shifting the cybersecurity landscape from human-centric defense to a paradigm of AI vs. AI. • Traditional security frameworks are becoming obsolete because they rely on human decision-makers to investigate alerts and validate threats. • This shift matters because autonomous AI attacks significantly compress the timeline between initial detection and full exploitation, outpacing human response speeds.

• Enterprises are facing escalating costs and governance gaps as thousands of agentic AI agents are deployed across multiple corporate systems to work alongside human staff. • To address these challenges, Kong is developing a new system that matches specific AI workloads with the most appropriate models based on the complexity of the task. • This initiative aims to help organizations optimize operational expenses and maintain consistency across their various AI deployments.

• Enterprises are shifting from AI experimentation to the deployment of "agentic AI," where thousands of autonomous agents operate across multiple systems alongside human staff. • This transition is creating significant operational challenges, specifically regarding rising costs and critical governance gaps in enterprise environments. • While previous industry focus remained on Large Language Models (LLMs) and generative AI, the priority is now moving toward the infrastructure needed to manage these agents.