AI and Cybersecurity: Challenges of today, preparing for tomorrow

date_range 18 June 2026 12:00 - 13:00

language English Polish

Request training

Learn how the Poznan Supercomputing and Networking Center (PSNC), a partner of the agrifoodTEF Polish Node, supports smaller organisations and SMEs in securely deploying AI technologies by understanding critical cyber risks, defence-in-depth principles, and available security support frameworks.

AI and Cybersecurity: Challenges of today, preparing for tomorrow

Purpose & Scope

This webinar explores the rapidly intersecting worlds of Artificial Intelligence (AI) and cybersecurity, focusing on the unique challenges they present to modern organisations. While cybersecurity is a well-recognised necessity, further amplified by recent cyberwar threats, the integration of AI solutions into current ICT infrastructures introduces a completely new set of vulnerabilities.

The session provides an overview of contemporary digital risks, shifting focus toward AI-specific threats such as algorithmic bias, system opacity, privacy vulnerabilities, and adversarial attacks designed to deceive AI systems. Participants will be introduced to essential mitigation strategies, including the "defence-in-depth" and "shifting-left" paradigms. By combining theoretical awareness with practical remediation steps, the training outlines how attendees can leverage the free support services offered by the agrifoodTEF project to protect their digital assets without stalling innovation.

Learning objectives

  • Threat identification: extend and establish fundamental awareness concerning modern cyberattacks targeting SME infrastructure, with a specific focus on AI-based systems.
  • Core methodologies: understand foundational cybersecurity paradigms, specifically how "defence-in-depth" and "shifting-left" approaches can be practically initiated within an organisation.
  • Risk mitigation: recognise the most probable missteps when adopting AI-powered solutions to prevent serious operational, data privacy, or reputational harm.
  • agrifoodTEF support: discover the precise steps and criteria required to apply for and access free expert cybersecurity support through the agrifoodTEF project.

Learning outcomes

  • Security awareness: distinguish between general cyber threats and specialised AI risks (e.g., adversarial attacks, system opacity) to better safeguard company data.
  • Framework literacy: explain how to utilise the European DigComp framework (specifically modules covering information management, device protection, and privacy) to gauge digital readiness.
  • Proactive defence: understand how to initiate the first critical steps toward raising infrastructure security to a compliant, resilient level.
  • Resource optimisation: identify and successfully navigate the technical support pipelines provided by the PSNC and agrifoodTEF ecosystem.

Who should attend?

  • Agri-tech & SME decision-makers: business owners and managers looking to deploy AI-driven tools safely without risking infrastructure compromise.
  • IT Managers & System Administrators: technical staff seeking an initial competency framework to address modern cyber threats and data privacy.
  • AI Developers & Innovators: teams integrating AI models who need to understand vulnerability surfaces and adversarial risks.
  • EDIH Staff & Digital Advisors: hub representatives looking to guide regional SMEs toward reliable, free cybersecurity validation and support services.
Type of Topic

AI implementation

Services

Software / AI model

Type of Sector
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
Register