Canary monitors piracy-related platforms and ecosystems for suspected exposure of books, chapters, journal articles and DOIs, providing publishers with structured evidence, reporting and ongoing visibility.
Canary is designed for publishers who need a structured way to identify, review and report suspected piracy exposure across scholarly and publishing assets.
Search individual DOIs and review suspected availability across supported piracy-related sources.
Upload and assess DOI samples or title lists to understand exposure across a wider portfolio.
Review suspected matches and supporting data before reporting or escalation.
Produce clear summaries for rights, legal, information security and leadership teams.
Choose a structured 90-day pilot, an ongoing anti-piracy monitoring service, or a fully managed service covering the publisher’s Crossref DOI catalogue.
A structured pilot using real publisher assets to validate Canary’s monitoring, evidence gathering and reporting before wider adoption.
Continuous publisher-level anti-piracy monitoring, evidence gathering and reporting across supported piracy-related platforms and ecosystems.
A fully managed service in which Canary automatically identifies and searches the publisher’s Crossref DOI catalogue and provides structured weekly reporting.
Many publishers do not yet know the scale of their piracy exposure or whether ongoing monitoring is justified. Canary’s pilot option is designed to answer that question with evidence rather than assumptions.
This gives legal, rights, information security and leadership teams a clearer basis for deciding whether wider monitoring should become part of their anti-piracy or risk management process.
A structured trial using real publisher assets.
Ongoing monitoring and reporting for publisher teams.
The example below uses fictitious publisher data and dummy book titles to illustrate the type of evidence-led reporting Canary can provide.
Publisher
Assets Reviewed
Sites Checked
Suspected Exposure
| Title | Fictitious DOI / Identifier | LibGen | Sci-Hub | Anna's Archive | PDFDrive | Z-Library | Risk |
|---|---|---|---|---|---|---|---|
|
Foundations of Digital Scholarship Northbridge Academic Press |
10.0000/nap.demo.001 | Found | Not found | Found | Not found | Claimed | High |
|
Research Methods for Open Knowledge Northbridge Academic Press |
10.0000/nap.demo.002 | Not found | Found | Claimed | Not found | Not found | Medium |
|
Machine Learning in Modern Publishing Northbridge Academic Press |
10.0000/nap.demo.003 | Found | Not found | Found | Claimed | Found | High |
|
Ethics, Archives and Public Memory Northbridge Academic Press |
10.0000/nap.demo.004 | Not found | Not found | Claimed | Not found | Not found | Low |
|
Applied Cybersecurity for Libraries Northbridge Academic Press |
10.0000/nap.demo.005 | Found | Not found | Not found | Found | Claimed | High |
In this fictitious example, Canary identifies suspected exposure across multiple piracy-related sources, with several titles appearing on more than one target site.
Results can help legal, rights, information security and publishing teams understand where further review, escalation or monitoring may be appropriate.
A 90-day pilot can expand the sample size, track repeat findings, and help determine whether full enterprise monitoring is justified.