Know your agent: building the foundation of autonomous commerce (www.techradar.com)

Artificial intelligence is making a significant leap from analysis to action, as organizations increasingly embrace AI agents—autonomous systems capable of executing complex tasks and automating workflows. A McKinsey study highlights that 62% of companies are currently experimenting with these AI agents. However, this shift into agentic AI introduces new digital risks, primarily concerning identity verification and trust. As these AI systems gain autonomy, the need for a robust trust layer becomes crucial to prevent potential security breaches, such as prompt injection, where malicious commands can manipulate AI agents into executing harmful actions within an enterprise. To ensure safe and effective deployment of AI agents in commercial settings, it is essential to establish a framework that addresses three pivotal questions: the agent's identity, authorization for tasks, and its reputation. This trust framework, which integrates standards from organizations like FIDO and W3C, will facilitate secure transactions between consumers, businesses, and agents. As the agent economy evolves, continuous monitoring of agent behavior will be vital to identify anomalies and mitigate risks. By embedding trust measures into AI systems, businesses can harness the benefits of agentic AI, driving innovation and efficiency while safeguarding against the hazards of unchecked autonomy.