Identify CSAM on images and videos that have never been hashed
Analyzes 1 TB in approximately 20 minutes;
Average of 3 seconds to analyze a full video
Protects investigators from exposure to traumatizing harmful materials
Digital devices seized in CSAM cases contain massive volumes of data that must be analyzed to locate evidence
Investigators are forced to rely on hash identification and sort through all seized media manually, which can take days
The algorithm enables law enforcers to sweep through the entire media copied from confiscated devices in record time, with unprecedented accuracy
Netspark’s AI-based CaseScan auto-identification platform is patent protected
The technology is easily integrated in accordance with customer's requirements
Netspark AI solution protects investigators from traumatizing exposure to massive amounts of harmful materials
Netspark technology is easily deployed in accordance with the customer’s needs
Based on Netspark’s registered patent, CaseScan was developed in collaboration with world-leading law enforcement officials, including Commander (ret.) Meir Hayun, former head of unit 105, the cyber unit in the Israeli Police which tracks and captures pedophiles
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