How machine learning does image tampering detection
Date Published
“More than 90% of commercially captured and published digital photographs, if not tampered with some ulterior motive, are at least retouched” as per a Cornell University study.
With digital documentation becoming the new norm, governments, the media, and organizations worldwide are grappling with this new wave of tampered images. Here’s how machine learning systems can detect tampered images and protect your organization from fraud.
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Fraudsters are slipping through the cracks in the banking system. This is because banks are playing catch up to the fraudster’s playbook instead of one-upping them. There is, of course, light at the end of this fraud tunnel for banks. It involves working smarter rather than harder.
The DPDPA states that data fiduciaries must obtain ‘verifiable parental consent’ from the parent before processing children's personal data.
Just two operational segments in banking contribute to a whopping 95% of all banking frauds. That’s right — Advances and Cards/Internet banking — together account for 95% of all banking frauds. All other operational segments like forex, deposits, cash, cheques, and clearing accounts are tiny problems, in comparison, accounting for less than a percent of total banking frauds.
Who is a Data Protection Officer (DPO)? What are their responsibilities under the DPDP Act? Read a blog to learn more!