Guides and case studies on detecting AI-generated voices, and on the scams that use them.
Vishing is a scam call or voicemail that impersonates someone you trust to take money or credentials. How the attacks work, real examples, how AI voice cloning changed them, and how to stop them.
Seven signs, five live tests and how to check a recording for AI voice conversion.
The vocal tells, the artist checks and a free AI song checker, combined.
Twelve documented attacks, from the 2019 cloned-CEO wire fraud to 2026 jury duty calls, each with its source.
Defences that do not depend on spotting a fake voice: callback rules, code words, and what to do if you already paid.
Phishing by voice and phishing by text, side by side, and how attackers chain the two.
Vishing for security teams: where it sits in CISA guidance and MITRE ATT&CK, eight attack types, and controls.
Deepfakes are three problems, not one. How to choose a detector for voice, image, and video.
Executive-impersonation fraud in the CEO's real voice, and the controls that stop it.
A cloned voice makes an old con new. The red flags, and how to protect older relatives.
A fast checklist, the tells to listen for, and how to confirm with a detector.
What "best" really means in voice detection. The 10 criteria to compare detectors by.
From CEO ransom scams to election interference. Real categories of harm AI voices already enable.
Plain-English explainer of what the detector is, why it exists, and how it works.
The 2024 election cycle was the first where AI-generated robocalls reached voters at scale.
The most common voice-scam patterns. What attackers say, what they ask for, how to verify.
What still gives synthetic voices away on close listen, even with the latest generators.
The fundamentals: what an AI detector is, what it measures, and our approach.
A field note on a category of use we did not predict. Synthesized voices in religious settings.