Open Text Shield-text analysis for risk detection.

Example

Analyzing a suspicious email link for potential phishing, and identifying if the URL matches known phishing domains.

Scenario

A user receives an email claiming to be from their bank, asking them to click a link to 'verify their account.' OTS detects that the link is associated with a phishing campaign by comparing it to a database of known phishing URLs and warning the user.

Example

Recognizing common spam keywords or patterns in unsolicited marketing messages.

Scenario

A user is flooded with promotional SMS messages offering unrealistic discounts. OTS scans these texts for spam indicators such as excessive promotional claims, suspicious URLs, or repeated keywords like 'limited time offer.' The system flags the message as likely spam and suggests the user block the number.

Example

Evaluating the credibility of business emails to determine if the sender’s identity is authentic or potentially fraudulent.

Scenario

A business owner receives an email from an unknown vendor offering a large supply deal. OTS analyzes the language used, the sender’s domain, and other contextual clues to assess whether the offer is legitimate or potentially a scam. The system would check domain reputation and look for signs of fraud, such as inconsistent contact information or mismatched company names.