Aspects of the disclosure relate to systems and methods for maintaining situational stability at a target location. The systems may include a database of machine-learning (“ML”)-derived event profiles. The systems may include a plurality of edge-nodes that are proximal to the target location. Each edge-node may generate a data stream of situational data pertaining to the target location. Each edge-node may transmit its data stream to the other edge-nodes. Each edge-node may conglomerate its own data stream with the data streams received from the other edge-nodes to create a conglomerated data stream. Each edge-node may monitor its conglomerated data stream for data that matches one of the event profiles. When a consensus is determined among the edge-nodes that a match occurred, the systems may execute a pre-determined response.
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