KINAITICS:
Cyber-kinetic attacks using Artificial Intelligence

KINAITICS aims to explore the new attack opportunities offered by the introduction of AI-based control and perceptive systems. The KINAITICS project will also adopt innovative defense approaches to protect systems from attack and ensure their robustness and resilience

About KINAITICS

News and Events

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Kinaitics on Red Hot Cyber!

The article introduces OWASP’s LLM Top Ten, a new framework for addressing the main security risks specific to large language models (LLMs). It highlights vulnerabilities like prompt injection and data leakage, aiming to guide safer AI development. The piece also touches on the European Kinaitics project, which exemplifies the EU’s commitment to secure AI advancements through dedicated research funding.

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APWG.EU Tech Summit 2024

The APWG.EU Tech Summit 2024 in Málaga gathers global experts to tackle challenges in cybercrime defense. Davide Ariu from Pluribus One presented Kinaitics, an innovative project for infrastructure protection and combating cybercrime.

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Introducing NeuralSentinel: A Tool for Safeguarding Neural Network Reliability and Trustworthiness

NeuralSentinel—a tool developed by the KINAITICS project, designed to enhance the reliability and trustworthiness of neural networks in critical sectors like healthcare, energy, and cybersecurity.

Cyber-kinetic attacks using Artificial Intelligence

As a new paradigm emerges from the ubiquitous use of AI in cyber-physical systems, KINAITICS will redefine threat and risk assessments on systems to take into account the interconnection of the cyber and physical worlds and the dual use of AI.

Dissemination and project results

Project structure

The KINAITICS work plan structure follows “a value chain like” approach where the use cases and the cyber-defence platform users will drive the research on AI attack and defence strategies.

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Project figures

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EU Grant

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partners

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nationalities

A team of 7 European complementary partners on AI attack and defence strategies, behavioural monitoring and use cases

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