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Detect. Takedown. Protect.

AI Phishing Detection &
Brand Protection Takedowns

AI-powered phishing detection, typosquat monitoring, and coordinated takedown workflows for security, fraud, and brand protection teams.

Continuous AI phishing detection across domains, social, ads, and search — visualized as a 360° radar sweep catching lookalike URLs, typosquat hosts, malware infrastructure, and brand-abuse alerts.

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PhishEye is digital risk protection software for phishing detection, typosquat and lookalike domain monitoring, brand abuse response, and coordinated takedowns. Built for security, fraud, threat intel, and brand-protection teams that need one operational picture across web, ads, social, and app stores.

AI Phishing Detection With Real-Time Risk Scoring

PhishEye analyzes signals across domains, URLs, and infrastructure, then scores risk in real time so your team can focus on high-impact threats and move faster with confidence.

Explore dark web and AI monitoring

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Operational clarity

Evidence, status, and next actions are documented so teams can brief leadership and external providers.

Program fit

Start with free monitoring and scale into coordinated takedown workflows as your risk program matures.

Buyer validation

Compare options with case studies, reports, and practitioner resources before choosing your approach.

Threat response queue

How high-risk items surface for your team - status, context, and next step in one view.

  • secure-login.banc0-verify.net

    Credential phishing · EV certificate spoof

    Takedown sent2m ago
  • cdn-assets.ph1sheye-app.io

    Lookalike host · typosquat on brand

    In progress18m ago
  • payroll-portal.internal-acme.xyz

    Malware landing · suspicious redirect chain

    Escalated1h ago

Frequently Asked
Questions

PhishEye focuses on phishing and impersonation - lookalike URLs and scam pages, typosquat and confusing domains, and related web infrastructure tied to your brand. The aim is to prioritize what harms customers and trust, not to flood your queue with noisy lists.