HOW IT
STARTED
HOW IT
STARTED
HOW IT’S
GOING
CuratedPDF® The welfare of a 'word' can now be protected
on a need-to-know basis
ZERO-TRUST Targeted In-Document Protection
A body of evidence shows that a significant proportion of PDF documents will be the subject of some form of selective content disclosure control
AS WE ALL KNOW
It is becoming increasingly necessary to share specific parts of a document, drawing, or photo while keeping other parts private for reasons such as Governance, Privacy, Proprietary concerns, Cultural Taboos, or sensitivities related to Abuse, sparking controversy. However, currently, we are unable to do this effectively at scale, and demand is set to rise further as we become increasingly "content" interconnected.
As a priority, in response to the rapid proliferation of AI-generated content and the vast amounts of readily available PDF content, both positive and negative, societal expectations (and laws) are swiftly moving towards embracing a new concept of digital Content Accountability.
A primary challenge faced by AI is exacerbating the situation by circulating even more copies of sensitive information, now at risk of surviving in multiple locations. Content Guardrails are a priority, designed to limit the circulation of sensitive information in a controlled dynamic manner.
To this end, rich Content Guardrails will become indispensable. However, the question arises: how do we build them to protect and curate sensitive content from being publicly or commercially disclosed, depending on the reader and business circumstance?".
OUR BLUEPRINT
01 / Vast Amounts of Readily Available PDF Content...
02 / Rapid proliferation of AI-Generated Content...
03 / Redaction
in its present form cannot scale...
WHAT WHERE WHY
The undeniable truth persists that protecting selected content is an immensely challenging task. Sometimes we are required to split even a single sentence into privileged and non-privileged portions, depending on the business and readers’ circumstances, and this dynamic serves as a vivid reminder of the difficulties and scale.
AI FUTURE... IN LOCKSTEP WITH
a) Content Protection​
b) AI Government Regulations
Increasing exponentially, Al is presenting security, privacy, and execution risks due to sensitive content disclosures sparking controversy and this risks slowing Al adoption.
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As the scale of incoming and existing content is just too large and too varied, it means automatic and manual redacting processes are highly likely to classify things inconsistently over time, and disclosure mistakes will happen.
As a result, it raises new security concerns about protecting sensitive wording. Therefore we must still rely heavily on ‘human honour’ as a form of protection, not to disclose unauthorised content encountered, and this workaround is a misguided aim.
OUR INVENTION CHANGES THE MINDSET OF HOW A DOCUMENT WORKS.
It is well understood that staff cannot directly protect sensitive content, notably protecting only the document-file itself. As a protection workaround, one-sided redaction techniques are employed, which is a misguided aim for safeguarding enterprise-level data.
Redaction won't scale to the overlapping protection obligtions required, depending on the reader and the always evolving business circumstances.
​
HOW MANY TIMES?
Yet another case of the
not-so-redacted... redactions... have emerged... highlighting the ongoing technical and scalling issues.
We find ourselves BOXED IN; Spending more money.... won't improve protection.
04 / ...what is your answer to... Content Accountability?
THE HOW
WE NEED CONTENT GUARDRAILS
Building rich Content Guardrails is essential across the spectrum of legal, healthcare, education, and various government and business enterprises to protect and curate overlapping personal, proprietary, and sensitive information, from being publicly or commercially disclosed depending on the readers' circumstances.
02
AI MODELS NEED RICH DATA... AT SCALE
Today, AI and Large Language Models (LLM) SCALE-OUT TO THE ENTIRE DOCUMENT and, therefore, lack the requisite granular detail for AI-LLM to make meaningful use of for enterprise content protection purposes; as contextually, a single word may have multiple valid uses within the same document. Automatically applying protection to all occurrences of the same word or leaving them entirely untouched is a clear illustration of the issue.
Recent advances have shown that machine learning AI systems trained on huge CuratedPDFs datasets will become adept at recognising the protection objects in those sentences and therefore rich content guardrails can be built to deliver contextual protection precision. This is so powerful.
03
WHY?
BECAUSE IT WILL GIVE A RICH UNDERSTANDING OF
CONTENT PROTECTION
Building rich Content Guardrails requires the integration of AI, Large Language Models (LLM), and CuratedPDF repositories, all of which can harness curated datasets to leverage this granular detail of word/page protection accuracy and learning rhetoric precisions.
04
PROSPER - HOW BIG
Words... hold more wealth and power!
Data is one of the most valuable assets for any organisation, but sensitive data is the most valuable and with this great PROTECTION insight comes great responsibility and wealth.
AI trained on billions of CuratedPDF words learn the meaning of these words in various contexts. AI/LLM can now adjust mathematical understanding of the relationship between words and the readers' authorisation level. This is so powerful.
Without the said hybrid AI and CuratedPDF integration, content leaks will occur. This AI and PDF re-calibration is therefore essential to accelerate AI adoption in business.
Conclusion
CURATE... CURATE... CURATE... AI and PDF
If you don't... you won't survive
LLM Transfer Learning: Because it will give a rich understanding of
Content Accountability and Content Protection
​
'Words' hold more wealth and power!
​
Content Accountability and Content Protection is non-existent today. File/Record and redaction protection is a misguided aim.
​
Sensitive data is the most valuable asset for any organisation, therefore AI can now leverage this word-curation awareness to build rich Content Guardrails with a greater scalable protection precision. This is achieved by developing the ability to identify patterns in the data and understand the relationships between words.
​
AI models trained on the contents of the internet have become our magical ChatGPT tools. In the same way, AI/LLM models trained on the contents of CuratedPDFs will become those magical Content Guardrails designed to regulate and recognise word-level protection.
As a priority, we give AI access... to the vast store of CuratedPDFs to train.
​
​
On track to being the most powerful.
BLUE PRINT - HOW BIG
Trusted by Jemena
www.jemena.com.au
CuratedPDF® is used by Jemena and Zinfra in its Gas and Electricity Distribution and Gas Pipeline businesses across Australia.
Our Curated data is called by SAP, GIS, and mobile applications (so it is big!)
We have the data curation technology and patents
PATENT PROTECTION – United States, UK, France, and Germany
CuratedPDF® - Registered Trademark USA – Australia
www.CuratedPDF.com - Registered
* Opportunity, we would love to hear from you, especially if you share an interest in expanding this initiative on a global scale.... as protection is the greatest differentiator!
ANDREW PLUMMER
FOUNDER, INVENTOR, PATENT-HOLDER
​
CONTACT
E: patent [at] curatedpdf [dot] com