A trust layer for the browser, built to warn before harm

GhostGuard helps people avoid phishing and impersonation at the exact moment risk appears — on page load, before passwords or payments happen. Privacy-first by design, with AI-assisted risk explanations that make warnings clearer and more actionable.

GhostGuard provides risk warnings to support safer choices — the final decision always stays with the user.
Real-time warnings

Stop the “one wrong click” moment

Most incidents happen after the click. GhostGuard adds a lightweight browser layer that surfaces risk immediately, before users enter sensitive data — with AI-assisted explanations that help them verify fast.

GhostGuard warning example
Privacy-first

Signals without invasive access

Designed to work without inbox scanning and without collecting sensitive content. URL/domain signals plus AI-assisted interpretation can be enough to warn clearly — without reading private messages or forms.

GhostGuard privacy-first illustration

Protect your business before one wrong click causes damage

Tell us what you want to protect — employees, customers, or your brand. We’ll suggest the safest and fastest way to start, usually within one business day.

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What makes GhostGuard different

Security that users understand, privacy teams approve, and businesses can roll out fast.

Real-time, on-page detection

Checks risk when a page loads using domain patterns, redirects, and reputation signals — then explains the warning in plain language.

Privacy-first by design

No inbox scanning. No access to accounts or payments. Built to minimize data surface while still producing useful, explainable warnings.

Warn-only UX (user stays in control)

Clear prompts and explanations instead of hard blocks. Users decide whether to continue — no forced redirects.

Easy to pilot and roll out

Deploy like a standard extension. Lightweight setup, fast feedback loops, and minimal operational friction.

What GhostGuard prevents

High-impact scenarios where trust is exploited and losses start with human clicks.

Look-alike login & checkout traps

Warnings for fake sign-in, booking, payment, and verification pages that mimic real brands — including look-alike domains and visual deception patterns.

Malicious redirect chains

Detects suspicious navigation and “clean-looking” links that silently route users to dangerous landings — a common pattern in ad-driven scams.

High-risk domains & infrastructure signals

Flags risky domains using reputation, age, SSL signals, and infrastructure patterns that often correlate with phishing campaigns.

Privacy-first by design: warnings can be produced from URL/domain risk signals + AI-assisted interpretation — without reading inbox content or collecting sensitive data.
Pilot & rollout

A simple path from trial → rollout

Keep it lightweight: validate impact quickly, then scale with confidence.

1
Step 1
Align on goals

Pick the scenarios you want to reduce (credential theft, payment traps, impersonation) and define simple success metrics.

2
Step 2
Run a low-risk pilot

Roll out to a small group or a target segment, measure warning quality and incident reduction, and collect feedback on clarity of AI-assisted explanations.

3
Step 3
Scale deployment

Expand via standard extension management with clear messaging, minimal training, and privacy concerns addressed upfront.

Ready to try GhostGuard?
Install in seconds or reach out for a business rollout discussion.
No inbox access. No passwords. No payment data. Just clear warnings with explainable risk context.