Use Case - Digital Risk Protection

Phishing & Brand Impersonation Prevention

Protect your digital assets and brand from phishing attacks before they compromise credentials or reputation.

The Growing Threat of Phishing

Phishing is the #1 attack vector for enterprise breaches, with credential compromise causing the majority of incidents. Brand impersonation campaigns put sensitive customer and enterprise data at risk while damaging reputation.

Without proactive detection and takedown, phishing attacks can spread rapidly across email, web, and social channels.

Digital Risk Protection Capabilities

EnterpriseGrade

Fraudulent Website Takedown

Identify and remove malicious websites impersonating your brand.

emailscan

Email Phishing Detection

Enriched CTI feeds to catch suspicious emails before they reach employees.

PhoneScam

Brand Abuse Monitoring

Continuous surveillance of domains, apps, and social channels.

DarkWeb

Dark Web Asset Tracking

Detect compromised credentials or leaked corporate data.

theft

Credential Theft Prevention

Real-time alerts for compromised accounts or targeted phishing campaigns.

integrated

Threat Intelligence Integration

Easily integrate our threat intelligence into your SIEM, EDR, Firewall, and more.

Enterprise Security, Measurable Impact

Protecting your brand and users requires more than generic monitoring. ThreatBook provides unified protection across email, web, and endpoints, backed by verified intelligence and automated action.

 

Battle-Tested Defense You Can Count On

We’ve helped defend enterprise networks at scale:

  • 99.9% accuracy on verified IOCs, minimizing false positives.
  • Global intelligence coverage with an APAC persepctive, including on rare regional threat actors.
  • Real-time takedown of phishing and fraud domains protecting enterprise brands globally

Ready to Stop Phishing and Brand Abuse?

Protect your enterprise from credential theft, fraud, and impersonation with ThreatBook’s unified detection, intelligence, and automated response platform.