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PhishEye

Dark web monitoring

Position AI where it truly helps triage noisy sources; avoid generic “AI” claims without transparent methods.

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Concept view of monitoring and response workflows in PhishEye - replace with a product screenshot when available.

Coverage areas

Domains, social, app stores (scoped to your program)

Delivery

Platform workflows + optional managed services

Outputs

Prioritized queues, evidence, takedown tracking

Coverage

Threat patterns programs typically monitor

Programs are tuned to your marks and channels; the list below reflects common categories teams prioritize.

  • Leaked credentials and account dumps

    Customer and employee credentials surfacing in stealer logs, breach combolists, and underground marketplaces.

  • Underground chatter staging campaigns

    Pre-incident signals on Telegram channels, hacker forums, and access-broker listings that name your brand or surface.

  • Stealer-log activity referencing your domains

    Hits in stealer-log streams that include customer browser sessions or employee tokens for your authentication surfaces.

  • Marketplace mentions of your assets

    Listings of accounts, data, or access tied to your organization on the markets where that inventory turns over fastest.

  • Coordinated actor pattern signals

    Cross-source correlation that links chatter, infrastructure, and identifiers to the same actor or campaign cluster.

  • AI-triaged surfacing with citations

    Models summarize and tag findings, but every claim ships with a verifiable source — no opaque scoring black box.

What belongs on this page

Credential leaks referencing your domains, chatter about upcoming scams, and recycled phishing kits-each should map to a response play.

Illustration: scattered signals that need clear scope and response mapping.

People-first content

Describe which sources are monitored, how findings are validated, and when customers get notified. Search and AI systems reward specificity over hype.

Illustration: clear stages from validation through customer-ready communication.

Protect revenue and customer trust

See how PhishEye centralizes detections, evidence, and takedowns so security, fraud, and brand teams share one operational picture.

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FAQs

Common questions

What should dark web monitoring actually deliver?
Validated findings with enough context to act - credential reuse risks, scam tooling chatter, or brand mentions tied to fraud - not an unreadable feed of noise.
Where does AI fit responsibly?
Use AI to triage and summarize noisy sources with human review on high-impact alerts. Disclose limitations; do not claim omniscient coverage.
How do we validate a leak references our organization?
Corroborate with internal telemetry, rotate credentials where appropriate, and document the chain of evidence before external comms.
When should a dark web finding trigger full incident response?
When validated data implies active abuse, live credentials, internal tooling, or customer PII, not when the source is unverified chatter. Define escalation tiers with security and legal so high-severity signals get a runbook without alert fatigue.

Explore further

Related pages

Ready to scope a program for your marks and channels?

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