The objective of phishing emails is to mislead recipients into downloading malicious attachments or disclosing personal information. Checking the email address of the sender is a simple method to identify a fake.
Using AI-powered mobile device intelligence, user behavior analysis, and dynamic trust score, mobile fraud can be prevented.AppAuth uses state-of-the-art AI and machine learning technology, device intelligence, and behavior analysis to offer complete fraud prevention solutions.
Strong password usage guidelines,Create distinct passwords for every account.Use a minimum of twelve characters that combine symbols, numbers, and letters.Whenever possible, enable multi-factor authentication.To protect and arrange credentials,think about utilizing a password manager.
Using machine learning techniques, other sophisticated algorithms, or intelligent software solutions, artificial intelligence (AI) in cybersecurity entails continually monitoring network environments and preventing cyber threats.
AI is used in phishing attacks to create false emails and identify potential targets. Patterns are prepared for brute-force password cracking (trial-and-error hacking method that cracks encryption keys, login credentials, and passwords).
Never click on an attachment or link that you receive via text or email.Are there any attachments, QR codes, or links in the message? If so, there may be phishing attempts or malware in these. When you click or scan them, avoid entering any personal information and avoid downloading any software from unauthorised sites.
According to government data, there has been a significant increase in cybercrime cases in India, with scammers defrauding people out of Rs 33,165 crore over the past four years, including Rs 22,812 crore in 2024. Several Tier 2 and Tier 3 cities have been recognized as hotspots for cybercrime.
Any malicious attempt to enter a computer, computing system, or computer network without authorization with the intention of causing damage is referred to as a cyber attack.
In recent years, financial sexual extortion, often known as sextortion, has become a more common scam. Most of the time, the scammers pose as young girls or women who are looking for love. They might deceive victims into sharing obscene images or videos and send obscene or artificial intelligence-generated images.
Nigerians are becoming known for their role in romance or dating scams. Scammers pose as possible partners in order to take advantage of those who are looking for romantic relationships, usually through dating apps, websites, or social media.