Vision: Anti-Scam AI-scam detection and prevention

Example

Detection of phishing links in emails

Scenario

When a user receives an email containing a link, the AI Detective analyzes the URL to check for signs of phishing such as newly registered domains or known malicious servers. If detected, the user receives a warning not to click on the link, with a detailed explanation of the risk involved.

Example

Blocking fraudulent SMS messages

Scenario

The AI automatically filters incoming SMS messages, using pattern recognition to detect common scam tactics. For instance, messages claiming large sums of money can be won or alarming users to fake account problems. These messages are either blocked or marked as suspicious, with an explanation sent to the user on how to handle such texts.

Example

Preventing scam calls

Scenario

Utilizing real-time data on scam activities, the AI blocks calls from numbers reported for scam activities or from numbers that follow typical scammer behavior patterns. The user receives an alert about the blocked call along with information on why it was blocked, enhancing awareness and protection.

Example

Alerting users about personal information leaks

Scenario

The system continuously scans the dark web and other suspicious data sources for the user's personal information. If the user’s details appear in such a context, an immediate alert is issued, advising on the next steps to secure their information and prevent misuse.

Example

Guarding against newly created risky websites

Scenario

When a user attempts to visit a new website which the AI identifies as potentially dangerous based on certain criteria like the domain's age or registration details, the user is immediately warned not to proceed, highlighting the risks of engaging with ephemeral domains.