LambdaTest Inc. has introduced a private-beta version of Agent-to-Agent Testing, which it calls the world’s first platform designed specifically to validate autonomous AI agents. The launch, announced on 19 Aug., targets enterprises that are embedding conversational and task-oriented agents into customer-facing and back-office workflows without a reliable way to vet their behaviour. The multi-agent system leverages multiple large language models and 15 specialised testing agents—ranging from security researchers to compliance validators—to generate and run context-aware simulations. According to LambdaTest, the approach expands test coverage by five to ten times and surfaces issues such as bias, hallucinations and data-privacy gaps. Executions run inside the company’s HyperExecute cloud, which it says shortens test cycles by as much as 70 percent compared with conventional automation grids. Chief Executive Officer Asad Khan said the platform “thinks like a real user,” providing repeatable scenarios that mimic unpredictable real-world interactions. The release comes as businesses race to deploy agentic AI but cite governance and reliability as top concerns, creating demand for dedicated validation tools before large-scale rollouts.