In the financial sector and others, autonomous agents can be used to detect fraudulent activities. They can analyze vast amounts of transaction data in real-time to identify patterns that signify potential fraud. These agents can also learn from past incidents, improving their detection capabilities over time. This leads to quicker responses to fraud and reduces financial and reputational damage.
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