Automate Online Brand Protection to Take Down More Malicious Brand Content in Less Time
Attempts to fraudulently use or impersonate a brand is an extensive and severe problem for brands. Most brands have abuse inboxes for the public to report suspicious communications. This is a complex and manual operation for global brands that require brand protection teams to sort through thousands of malicious and benign emails daily, gather forensics evidence, and send take-down requests to the domain or other organizations hosting the malicious content.
To that end, when it comes to detecting phishing and social engineering threats, slow response times are detrimental. Additionally, the process can be frustrating if you’re leveraging threat intelligence riddled with false positives and inconclusive results that is often the case with static threat feeds and many URL lookup services. A real-time threat intelligence service that uses AI and ML can provide accurate, definitive results and enrichment to speed the identification and remediation of malicious attempts on your brand, giving you a fighting chance against the exponential increase in phishing this year.
Fully automating the process of reviewing suspicious emails sent by customers and the public to online brand abuse inboxes the only way to quickly identify phishing threats and take them down expeditiously.
SlashNext’s Online Brand Protection Detection and Response playbook recently won the Palo Alto Networks Automation Rising Hackathon for best security playbook. This playbook automates the detection of brand impersonators and malicious URLs using deep inspection of website content. It packages everything required to request a take-down (IOCs, forensics, and screenshots) into an email sent to the abuse department to simply forward to the domain registrar. This playbook leverages SlashNext’s AI phishing threat defense technology that uses mature machine learning (computer vision, NLP, and OCR) and virtual browsers to dynamically inspect page and server behavior with 99.07% accuracy. This speeds-up the process of taking down malicious sites targeting your organization right now and in the past. With this playbook, teams will save hundreds of hours spent per week managing corporate brand abuse inboxes.