Tools like the Proactive Monitoring Tool (PMT), which was developed by CDAC Mumbai, are being fine-tuned to detect Child Sexual Exploitation Material, while AI systems monitor dark web activity and scam networks, it noted, while adding that AI is also applied in facial recognition, vehicle’s registration number plate recognition and counter-terrorism intelligence. This AI model is being further fine-tuned, and it is proposed to be extended to crawl the open web to proactively identify CSEAM content.
The MHA’s I4C also uses AI-based tools to monitor the dark web, scam websites and fraud networks for tracking cybercrime discussions, phishing campaigns and suspicious financial transactions.
Meanwhile, Surakshini, a centre run by the MHA, keeps an eye on crimes related to children and women and helps remove vulgar content, with the I4C sharing a ‘hash’ value. “Currently, the Online Cyber Crime against Women and Children (OCWC) team under I4C identifies complaints related to Child Sexual Exploitation and Abuse Material (CSEAM) and Non-Consensual Intimate Imagery (NCII) received through the National Cybercrime Reporting Portal (NCRP),” it said.
The SURAKSHINI dashboard will also provide end-to-end visibility into complaint status, takedown timelines, and FIR registration, helping improve coordination and accountability across platforms and law enforcement agencies. The Parliamentary Committee appreciated these initiatives and encouraged the continued use of AI.
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