Artificial Intelligence safe by design

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The on-premise solution for monitoring and protecting web services

Compatible, flexible, non-invasive
100% Made in Europe

The free service
for safe Internet browsing

Stop Malware, Ransomware, Scam
Phishing, Banners, Ads





Read more about the next editions

Tutorial on the security of Machine Learning

Attack Prophecy

Changes dress but not its temper

New look, same accuracy, improved effectiveness:
unparalleled protection of web services and applications

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Trustworthy AI

Pluribus One is a research-intensive company that turns basic research results into commercial products and provides innovative AI based solutions and Secure Machine Learning products that are the strongest link in the Cybersecurity chain and not the weakest one.

Adversarial ML Pioneers

Pluribus One is a spin out of the PRA University Lab with more than 25 years of experience in world-class research on Adversarial Machine Learning and in providing solutions based on Pattern Recognition and secure Machine Learning technologies.

Secure your business

Pluribus One develops customized solutions and other data-driven applications to secure your business and your devices. Our customers safely enjoy our products in these fields: Public Administration, Healthcare, Finance, Defence, Education, E-commerce.
Pluribus One Web Application Security® is an on-premise solution for monitoring and protecting web services, designed to ensure the security of critical web applications.

Thanks to Pluribus One WAS®, it is possible to:
- Monitor and protect the infrastructure in a few steps
- Make web services safe, through a customized model
- Keep full control of data and privacy
Non-invasive structure and highly compatibility: Pluribus One WAS® is designed to work in parallel with the existing infrastructure and to exploit existing solutions as data sources.

Protect your business. Web services and
applications finally protected with Pluribus One WAS®

The best teams have the best defenses.
Together we will be a great team.

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To stop cyber threats you
don't need a number of tools

You just need the right numbers

Smart technologies solve problems 
Effective technologies prevent them
Pluribus One Internet Security® is a free service for safe Internet browsing. It deals with preventing and detecting several typologies of cyber attacks, such as malware, ransomware, phishing and scam. It also blocks and hides banners and unwanted advertisements that slow and clog web pages during web browsing.
Pluribus One Internet Security® is easy. Simply set on your device the secure DNS numbers provided by Pluribus One:
- Primary DNS:
- Secondary DNS:

Protect your devices. Web pages finally
finally safe and ads-free with Pluribus One IS®

Our Partners

Leading Research

The founders of Pluribus One have a large experience in leading R&D projects in computer security, pattern recognition, machine learning and related research areas, funded under the European Research Framework Programmes (FP6 - FP7 - Horizon2020)
Funded by EU under the H2020 Programme.
The project will deliver to LEAs a descriptive and predictive data analytics platform and related tools which will prevent, identify, analyse and combat cybercrime and terrorist activities. The platform is based on the fundamental technology applied to Big Data analytics provided with Artificial Intelligence and Deep Learning techniques.
Funded by EU under the H2020 Programme.
The main goal of ALOHA is to facilitate implementation of Deep Learning algorithms on low-power embedded systems and heterogeneous low-energy computing platforms, providing automation for optimal algorithm selection, resource allocation and deployment.
Funded by EU under the H2020 Programme.
SIMARGLE's main goal is to combat the pressing problem of malware. It aims to tackle the new challenges in the cybersecurity field, including information hiding methods, network anomalies, stegomalware, ransomware and mobile malware.



Steganalysis and Machine Learning: a European answer
An article from our blog. Steganography is a secret mechanism for encoding information by any means of transmission. Its use has been known since ancient Greece and defined in the glossaries towards the end of the fifteenth century. Both encoding and medium of transmission are secret, that is, known only to the parties who intend to communicate in an occult way.
Steganography differs from cryptography, in which encoding of information and medium of transmission are generally known (think for example to the HTTPS protocol used by this site)
Machine learning may represent a sophisticated weapon at the service of those who intend to unmask steganography. ...


Secure ML Demo - Deep Learning Security
This web demo allows the user to evaluate the security level of a neural network against worst-case input perturbation. Adding this specifically designed perturbation is used by attackers to create adversarial examples and perform evasion attacks by feeding them to the network causing it to fail the classification. In order to defend a system we first need to evaluate the effectiveness of the attacks. During the security evaluation process, the network is tested against increasing levels of perturbation, and its accuracy is tracked down in order to create a security evaluation curve. This curve, showing the drop in accuracy with respect to the maximum perturbation allowed for the input, can be directly used by the model designer to compare different networks and countermeasures.


WILD Patterns Tutorial on Adversarial Machine Learning

WILD PATTERNS is our successful free tutorial on the security of Machine Learning and Artificial Intelligence systems, that has seen over the last years the overall participation of more than 1000 attendees around the world. WILD PATTERNS introduces the fundamentals of adversarial machine learning, presenting recently-proposed techniques to assess the vulnerability of machine-learning algorithms to adversarial attacks, and some of the most effective countermeasures. We consider these threats in different application domains (object recognition in images, biometric identity recognition, spam and malware detection). Don't miss the next edition of WILD PATTERNS, it will be announced soon. The last edition was held at MLS 2019, September 9, Padua, Italy.

Our products are partially developed with the support of Regione Autonoma della Sardegna
(POR FESR RAS 2014-2020 - Asse 1 Azione 1.1.3)


Pluribus One S.r.l.

Via Bellini 9, 09128, Cagliari (CA)


PEC: pluribus-one[at]


Legal entity

Share capital: € 10008

VAT no.: 03621820921

R.E.A.: Cagliari 285352


University of Cagliari

  Pluribus One is a spin-off

  of the Department of

  Electrical and Electronic Engineering

  University of Cagliari, Italy


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