Abstract: A data security system uses API connections to heterogeneous collaboration platforms to analyze elements of conversations to identify regulatory, security, and privacy risks and take corresponding actions to limit and remediate risks in real-time. In some embodiments, the data security system can use API event triggers to determine when an action is taken, apply a machine learning-based detections to identify relevant risks, and take a corresponding remedial action such as removing a user from a conversation.