4 core insurance functions primed to benefit from agentic AI
Agentic AI in insurance has potential to transform insurance. Read four use cases.
Tag: agentic AI
Building trust: A principled approach to ethical AI agent development
AI agents are no longer confined to labs and prototypes. They’re shaping how we live, work and make decisions. From customer service bots and self-driving cars to robotic surgical assistants and virtual companions, these systems now influence real outcomes in society. This is the first blog post in a series
Threat modeling for agentic systems
As agentic AI systems evolve through protocols like MCP and A2A, traditional security practices must be adapted to address new risks such as goal misalignment and tool instruction abuse. This article explores practical threat modeling strategies, including goal alignment cascades and distinguishing between parameter-only vs. instruction-enabled tool calls.