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[SITUATION] · [QUIET] · [TECHNOLOGY]
2 clusters · 4 sources · 27 days · First seen · Last updated
AI integration in cybersecurity and messaging
Overview
Messaging platforms are increasingly utilizing artificial intelligence and machine learning to combat digital scams, spam, and phishing. Unlike traditional rule-based filters, these AI-driven systems analyze behavioral patterns to identify abnormal activities, such as accounts sending identical messages repeatedly or making an unusual volume of calls.
With SMS-based phishing, known as ‘smishing’, accounting for approximately 35% of global phishing scams, specialized security services are providing targeted protections. These tools aim to intercept dubious messages, direct them to spam folders, and monitor for data leaks on the dark web to prevent users from clicking malicious links.
Entities
Timeline
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[TECHNOLOGY] 2 sourcesAI and specialized tools combat rising digital spam and phishing
Messaging apps are adopting AI and machine learning to detect behavioral patterns and combat rising SMS-based phishing scams and automated spam.
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[TECHNOLOGY] 2 sourcesAI in digital marketing raises ethical and privacy concerns
Researchers examine ethical challenges in AI-driven digital marketing, focusing on privacy concerns and data usage within the mobile communications industry.
Sources
au.pcmag.com · ijar.ut.ac.ir · indiaobservers.com · jibm.ut.ac.ir