Never trust a link.
Verify every signal.
ZeroTrust One is an AI cyber defense platform that treats every URL, email, document and media file as untrusted — then runs it through seven layers of analysis before you interact with it.
Dangerous. Newly registered domain impersonating a payment brand. Login form posts to an unrelated origin. Recommend blocking.
Seven layers. One verdict.
Every scan flows through the same disciplined pipeline. You see the recommendation — the platform handles the arithmetic.
Static Analysis
Header, DOM, form target and script provenance checks before AI touches the payload.
Threat Intelligence
Known malware, scam and phishing signatures cross-referenced in milliseconds.
Behavior Analysis
Redirect chains, form actions, download patterns and urgency language.
AI Detection
Fine-tuned transformer classifies content with token-level attribution.
LLM Consensus
Multiple frontier models cross-validate. One unified verdict, no noisy scores.
Zero Trust Policy
Identity, risk and context evaluated against explicit allow rules.
Risk Engine
Final score, severity, MITRE mapping and analyst-grade recommendation.
A cyber analyst, alongside every tab.
The ZeroTrust One extension inspects pages as you browse — surfacing risk, highlighting dangerous elements and answering your questions in a sidebar.
- Live page risk overlay with severity band
- Right-click: analyze image, link, selection or PDF
- AI sidebar that explains why a page is risky
- Phishing form and fake login detection
Domain registered 4 days ago. Login form posts cross-origin. Urgency cues detected.
Deterministic on the outside. Adaptive on the inside.
- Input→
- Zero Trust→
- Static→
- Threat Intel→
- Behavior→
- AI→
- Consensus→
- MITRE→
- Risk→
- Report
Findings surface as a single, calibrated verdict — Safe, Low, Medium, High, or Critical — with a written explanation, MITRE ATT&CK mapping, and recommended next action. Per-model scores stay internal so decisions read like an analyst wrote them.