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Enhancing SME cyber resilience: leveraging cyber threat intelligence with AI

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Enhancing SME cyber resilience: leveraging cyber threat intelligence with AI

Open access

Rechten:Alle rechten voorbehouden

Samenvatting

In today’s digital era, small and medium-sized enterprises (SMEs) are facing more cyber threats as they adopt new technologies. From data breaches to ransomware and phishing attacks, these risks are becoming more frequent and advanced. Unlike large companies, SMEs often don’t have the budget or cybersecurity expertise to defend against these threats, making them easy targets for attackers. The impact of such attacks can be severe, leading to financial loss, damage to reputation, and business interruptions. To reduce these risks, SMEs need to take a proactive approach to cybersecurity. One promising solution is to combine cyber threat intelligence (CTI) sharing with the power of generative artificial intelligence (GenAI).
This paper explores how using GenAI to assist CTI sharing can help SME employees improve their cyber resilience. Data from expert interviews and scenario-based tests show that using GenAI in CTI sharing greatly improves the quality of information, making it easier for employees to understand and act on. GenAI simplifies complex cyber threat data, helping employees become more aware and make better decisions, which leads to stronger cybersecurity practices across the organisation. This highlights the importance of providing employees with highquality, easy-to-access threat intelligence. It connects organisational strategies with individual actions, emphasising how important employee involvement is in boosting cyber resilience. As SMEs face an increasingly challenging cyber landscape, adopting innovative technologies like GenAI can help fill resource gaps and strengthen their defences. By improving how threat intelligence is shared and understood, SMEs can protect themselves more effectively and contribute to a safer digital environment for everyone.

Toon meer
OrganisatieHogeschool Rotterdam
LectoraatKenniscentrum Business Innovation
Datum2024-12-11
TypeWorkingpaper
TaalEngels

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