On-Device AI
Detects malware, phishing, and exploits entirely offline, directly on the user's device.
Avantr detects malware, phishing and exploits with machine learning that runs on your phone. Your files, images and messages are scanned on the device and never leave it. Only anonymised threat signals reach the network.
120,000,000 AVN, 20% of total supply, allocated to the public sale for initial fundraising and onboarding.
Avantr is a privacy-first cybersecurity ecosystem powered by blockchain. It delivers on-device threat detection for non-technical users, so protection reaches the people most exposed to digital attacks.
Democratize cybersecurity for everyone — regardless of technical skill, device, or geography.
Build a decentralized, user-friendly defense network that protects without compromising privacy.
On-device analysis means your files, images and messages never leave your phone. Only anonymized threat metadata is ever shared with the network — never personal content.
Scanned by an ML model that already sits on the phone. The file is never uploaded.
Analysed locally by the same model. Nothing is uploaded.
Read and classified on the device. The content never goes anywhere.
Checked against a third-party reputation service to see whether the destination is known to be malicious. That data changes too often to keep on the phone, so the URL goes out for the check.
A hash and a category, with nothing attached that identifies you or your device. It is what lets one phone's detection help the next one.
If a link is private, like a password reset or an unlisted document, assume the reputation provider has seen it too.
Cloud scanners upload your files to be analysed
A local ML model scans them in place; the file is never uploaded
Security tools assume a technical user
Built for people who have never configured a firewall
Protection is priced for enterprises
Tokenized incentives fund protection for everyone
Each vendor's intelligence stays in its own silo
Every device contributes to a shared, anonymised defense
Avantr integrates AI-driven local threat detection with decentralized intelligence sharing. The architecture is built around four core components that work together to deliver protection without ever exposing personal data.
Detects malware, phishing, and exploits entirely offline, directly on the user's device.
Shares only anonymized threat metadata — never personal files, images, or messages.
Validates threat signals securely across the network before they inform protection updates.
A simplified interface built for non-technical users, removing friction from staying protected.
Files, photos and messages are analysed on the device and never uploaded. What crosses the dashed line is a threat signal: a hash and a category, with nothing attached that identifies a person or a device.
Avantr's decentralized intelligence network ensures global protection without exposing personal data — every device contributes to collective defense while keeping individual privacy fully intact.
600,000,000 AVN, minted once at deployment and never again. Four buckets, no emissions curve, no hidden mint.
Vesting & ecosystem growth
Initial fundraising & onboarding
Liquidity & emergency scaling
Incentives for reporting threats & staking
Fixed at deployment, with no mint function and no inflation schedule.
Validate anonymized threat signals.
Earn tokens for verified intelligence.
Unlock premium protection features.
Vote on upgrades and fund allocation.
The global cybersecurity market exceeds $250B in 2026, growing at a 12% CAGR. Mobile users are the most targeted yet least protected segment. Avantr bridges this gap with local AI protection and tokenized incentives.
| Year | Users | Revenue | Key drivers |
|---|---|---|---|
| 2026 | 1M | $5M | App launch, staking |
| 2028 | 10M | $50M | Partnerships, governance |
| 2030 | 50M | $250M | Enterprise adoption |
Ship protection to real devices first, then widen the network that validates what those devices see. Each phase below is what the whitepaper commits to for that year.
Avantr redefines cybersecurity through AI-driven local protection, decentralized intelligence, and token-based incentives. With its privacy-first architecture and sustainable tokenomics, Avantr stands as a transformative force in digital safety — empowering users, protecting data, and rewarding participation.
The commitments below are how the product is built. The risks after them are the ones no design decision removes, so they are named here rather than left for you to find.
Files, images and messages are analysed by a local ML model and never transmitted. Links and QR codes are the stated exception: those go to a third-party reputation service.
600,000,000 AVN, fixed at deployment with no mint function and no inflation schedule.
Every risk below is real today. The control beside it is what we hold ourselves to, not a claim that the risk is gone.
| Risk | Control |
|---|---|
| Regulatory treatment of the token | Legal review per jurisdiction before any sale. Nothing on this site is an offer to sell securities. |
| Impersonation and fake presales | Contract addresses and sale links appear on this domain first. Anything else is a scam, including anything claiming to sell AVN today. |
| Detection is never complete | On-device AI reduces exposure. It does not eliminate it, and no security product catches everything. |