Scam Prevention
Protecting web users from scam websites with Scam Analytics and Tactical Intervention System (SATIS) and the recursive Machine-Learning Site Evaluator (rMSE)
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SATIS is a platform that supports SPF in combatting scam websites and protects citizens from scammers.
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rMSE is an in-house, AI-powered classifier that can evaluate potential scam sites at scale.
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Together, they continuously review over 100,000 websites scanned daily for potential scams.
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<0.1% false positives through a combination man and machine!
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Users can contribute to data collection by reporting suspicious sites through ScamShield.
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Disrupted scam websites may display warnings from Google and/or SPF, protecting citizens from accessing malicious websites.
With the proliferation of scam websites, there is a need to step up our cybersecurity measures and protect users, especially the ones who are less savvy. That is why we have worked with SPF to develop Scam Analytics and Tactical Intervention System (SATIS). Powered by artificial intelligence (AI), this platform hunts, analyses and disrupts malicious websites such as bank phishing sites and job scam sites.
SATIS is powered by an in-house AI/ML technology developed by GovTech —recursive Machine-Learning Site Evaluator (rMSE). This technology alone achieves an accuracy well in excess of 90% and is used to flags scam sites for the Singapore Police Force (SPF) and/or Google to take further action.
What are the benefits of SATIS?
SATIS provides three key benefits, as follows.
How to use SATIS?
Like all good cybersecurity measures, SATIS works in the background and does not require any additional action on your part. Here are two things you can do to maximise its usefulness.
1. Contribute by reporting
Heighten its efficiency by reporting any suspicious web activities via the ScamShield app.
2. Look out for sites disrupted by SATIS
If you land on a SATIS-disrupted scam website, you may see either:
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A red warning screen from Google,
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A message from SPF,
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or a disconnected site (e.g. 404 error)
In some cases, scammers may find excuses to send you a different link – please disengage with them!