CHECKLINK AI
Transparent roadmap

CheckLink Research Roadmap

From practical risk signals to future trust intelligence.

What CheckLink does today

URL normalization
HTTPS signal
Redirect analysis
Final domain comparison
Punycode/unusual encoding signal
Lookalike/domain pattern signal
Deep subdomain signal
Email/link extraction tools
Manual review workflow
Static trust pages

What CheckLink does not claim today

No guarantee of safety
No production ML classifier currently claimed
No automatic malware sandbox
No full brand-monitoring automation yet
No stored scan history
No enterprise SIEM integration yet

What is planned next

More structured risk signal mapping
User-reported suspicious link review
Manual report improvements
Official Links profiles
Brand monitoring workflow
API beta
Optional operational tooling only if demand exists

Future research-inspired directions

Reputation feeds
Domain age / RDAP / WHOIS context
DNS/email authentication context
Screenshot/content review
ML-assisted scoring
Explainable signals
Graph/network analysis for brand impersonation
Human-in-the-loop feedback
Enterprise integrations

Philosophy

Transparent signals beat fake certainty.
Manual review reduces overclaiming.
Privacy-first tools are useful even before automation.
Automation should be added only when real usage justifies it.

Use what exists today

CheckLink is useful today because it shows practical risk signals, privacy-first tools, and manual review paths without pretending to know everything.