AI in Phishing Detection: What It Can and Cannot Do
A clear explanation of where AI can help phishing detection and why signals and manual review still matter.
AI can help prioritize signals
AI systems can help summarize patterns, classify text, and support triage. They are useful when paired with structured URL, domain, and context signals.
AI cannot guarantee safety
No automated system can guarantee that every malicious link is caught or every safe link is cleared. Attackers adapt, and context changes risk.
Transparent signals matter
Users need to know why something is risky: redirects, domain mismatch, punycode, raw IP host, or unusual sender patterns. Explainable signals help people act.
Manual review still matters
Business decisions involving money, customer data, or account access need human judgment. A tool should support that workflow rather than replacing it with certainty.
What CheckLink does today
CheckLink currently uses available link and domain signals plus manual review paths. Future ML-assisted review is planned, not promised as a guarantee.
Checklist
FAQ
Does CheckLink rely on AI today?
The current scanner focuses on heuristic link and domain signals. Future ML-assisted review is listed as planned.
Can AI replace security review?
No. It can support triage, but context and manual judgment remain important.
Related guides
Use CheckLink before the next click
CheckLink provides risk signals and review paths. It does not guarantee that a website is risk-free.