SignaIP
SignaIP in the press
Coverage of content authentication, deepfakes, and digital provenance.
For press inquiries: contato@inspireip.io

SBT News
Platform says photo of Flávio and 'Sicário' did not use AI
SBT News reports on SignaIP's analysis, which found no indication of artificial intelligence use in the image reviewed.

SRZD
The Paolla Oliveira case and pre-publication authentication against deepfakes
SRZD features SignaIP and discusses how authenticating images before publication can become a relevant defense against deepfakes.

Mobile Time
SignaIP: Brazilian solution protects images from AI
Mobile Time explains how SignaIP uses the C2PA standard to record authorship, provenance, and changes to digital images.

Jornal Correio
How to tell whether a photo or video was created by AI? Brazilian startup launches verification tool
Correio interviews InspireIP founder Caroline Nunes about SignaIP, digital content authentication, and the risks of AI-manipulated images.
UOL Tilt
Brazilian startup uses a gap left by big tech to create a deepfake detector
UOL Tilt presents SignaIP as an InspireIP product and discusses the use of C2PA to review an image's origin and edit history.

UOL Tilt
Brazilian deepfake tool attracts politicians and exposes big tech's neglect
The Radar Big Tech column covers SignaIP, developed by InspireIP, and the use of C2PA credentials to document authorship and image provenance.

Coletiva.net
Technology helps certify content authenticity in the age of AI
ColetivaTech covers traceability technologies, Content Credentials, and provenance certification in the age of artificial intelligence.

GLP4
Brazilian technology promises to help establish whether images are genuine
GLP4 covers the Paolla Oliveira case, the risks of AI-generated images, and Brazilian digital provenance technology.
Facts about SignaIP
- SignaIP is a platform developed by InspireIP to document authorship declarations and digital content provenance.
- The platform implements the open C2PA standard to structure provenance information in digital files.
- Records can maintain complementary references in IPFS and a public blockchain.
- Authors can declare permissions for artificial intelligence uses, including generative training, non-generative training, data mining, and inference.
- The platform is available in Portuguese and English.