All Day DevOps
We will take part to this online event in a session named "Adversarial Machine Learning Robustness Check as Part of Your DevSecOps Pipeline"
AIA Guard is an end-to-end solution that automatically analyses your entire machine learning workflow with particular attention to data poisoning, inference attacks, model stealing, data leakage and adversarial machine learning .
Via a proprietary machine learning solution, sensitive and personal information are automatically detected and recommendations are provided to enhance your database-resilient strategy. This module aims to close gaps in data leakage accounting also for info triangulation among tables and databases. As a result, the sanitized databases will be resilient to attacks and fully GDPR compliant.
Differently from traditional solutions, an highly specialised analysis is performed directly on the source code and imported libraries in order to identify vulnerabilities including data-flow weakneses and authentication problems. As a result, mitigation actions are provided.
Leveraging the information acquired during the Static Program Analysis step, an initial Information Gathering and Reconnaissance is performed exploiting publicly available sources in order to gather as much information as possible on potential targets. Subsequently, in-depth AI target scanning and exploitation phases are delivered. As a result, a detailed report and mitigation actions is produced.
An advanced data poisoning module is available to concretely evaluate each step of the AI model development including training, validation and testing. For each step granular details regarding model drift, class representations, model explainability, and sustainable poisoning levels are provided. As a result, a broader awareness of poisoning risk and AI trustworthiness is delivered.
We will take part to this online event in a session named "Adversarial Machine Learning Robustness Check as Part of Your DevSecOps Pipeline"
We will contribute to this in-person event held at Università degli Studi della Tuscia, Viterbo.
This event is part of a series of meetings to allow an ongoing dialogue between the companies and students of the Department of Information Engineering and Computer Science of Università di Trento.
In this webinar event we will focus on the role of artificial intelligence (AI) in cybersecurity, specifically the use of AI to prevent and respond to cyber attacks.
We can offer flexible solutions to meet your needs. Until June 30th a demo version of AIAGuard will be freely accessible.