CYBERSECURITYTRACKER
TRACKING7,811 stories in this site build1,697 vulnerability news stories in this site build
Permanent story citation

Product showcase: Is this image real? Slop or Not investigates

This page keeps the story as Cybersecurity Tracker first published it. If the tracker later corrects it, the correction appears below the original and never replaces it.

Back to newsStory 4345

As cited

Copy frozen at (site build).

ai security

Product showcase: Is this image real? Slop or Not investigates

Slop or Not is an iOS and macOS application that detects artificial intelligence-generated text and images using on-device models powered by Apple's Neural Engine, requiring no internet connection or user account. A recent survey found that 85 percent of respondents struggle to distinguish authentic content from AI-generated material, and half reported encountering AI-driven scams including deepfakes and voice cloning.

Why it matters: Practitioners responsible for incident response and user security should evaluate this tool as a potential control for organizations where staff encounter deepfakes, cloned media, or AI-generated phishing content in email and messaging.

Source published
First seen by Cybersecurity Tracker

Source attribution

Correction

Correction recorded as of .

ai security

Product showcase: Is this image real? Slop or Not investigates

Slop or Not is an iOS and macOS application that detects artificial intelligence-generated text and images using on-device models powered by Apple's Neural Engine, requiring no internet connection or user account. A recent survey found that 85 percent of respondents struggle to distinguish authentic content from AI-generated material, and half reported encountering AI-driven scams including deepfakes and voice cloning.

Why it matters: Practitioners responsible for incident response and user security should evaluate this tool as a potential control for organizations where staff encounter deepfakes, cloned media, or AI-generated phishing content in email and messaging.

VendorsApple
Source published
First seen by Cybersecurity Tracker

Source attribution

Glossary