AI agents, tasked with activities like shopping and booking on behalf of users, require robust systems to ensure their legitimacy and determine their permissible actions. AI agent authentication is crucial for confirming an agent's identity, while authorization governs the scope of their actions. These components are essential for the security infrastructure of the emerging agentic era. The implementation of standard protocols such as OAuth 2.1 and mTLS is vital for secure machine interactions, with the Model Context Protocol (MCP) gaining traction for agent interactions. Traditional human-centric security models fall short for autonomous agents, necessitating new frameworks like Agent Trust, which emphasize least-privilege access and real-time behavioral verification to effectively manage agent permissions.