end-point
ANALYSIS efficiency , all while maintaining the integrity and security of our digital ecosystem .
In fact , the very technologies we are all now evaluating to increase business efficiency , namely Generative AI models , can actually be used as weapons against a business , further increasing the threat landscape .
The impact of AI in cybersecurity
2023 was the year that AI started to take off in terms of application and awareness – it ’ s now on everyone ’ s mind . But there ’ s also some risks with AI that can ’ t be ignored .
AI can be used by bad actors in ways that we have never seen . The development in voice deepfake technology for example is particularly concerning from a security perspective and one that needs to be addressed .
These tools have fundamentally lowered the barrier of entry for bad actors seeking to commit cybersecurity attacks , as now , with the availability of AI-powered tools and resources , even novice hackers have the power to unleash devastating attacks with minimal technical expertise .
Similarly , AI-powered phishing attacks could employ natural language processing algorithms to craft highly convincing spear-phishing emails tailored to deceive individual users , bypassing email filters and authentication mechanisms .
As AI continues to advance , the landscape of cyberthreats becomes increasingly complex and challenging to defend against , underscoring the urgent need for organisations to adopt proactive cybersecurity measures and stay ahead of emerging threats .
But it ’ s not all doom and gloom , as we see developments in sophistication of bad actors , we will also see cybersecurity companies continue to integrate AI to develop and enhance their products . These tools can autonomously detect , analyse and respond to security incidents in real-time ,
Jean-Philippe Avelange , CIO for global connectivity provider Expereo
CIOs are now at the forefront of change and that is something to be excited about .
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