Creds

The adoption of Generative AI

The responsible use of Generative AI (GenAI) is increasingly receiving attention. Various forms of AI serve increasingly different purposes in more and more sectors to ensure that employees and consumers remain comfortable. First of all, GenAI is mainly used for personal tasks but it is obvious that it is also being increasingly used in the workplace. Low-risk applications, such as creating summaries, are generally trusted. Higher-risk applications, such as strategic or financial advice, are of more concern.

AI is a systems technology that has a long-term and fundamental impact on the world. This technology is constantly improving and driving innovations in all kinds of domains. The wide deployment of artificial intelligence is undoubtedly going to bring unexpected effects. Accordingly, to embrace this technology, companies have to provide an environment where employees feel comfortable experimenting with AI. This requires clear guidelines and training, which will contribute to understanding AI and using it wisely.

Efficiency

Having such an enterprise-wide approach becomes more important as companies move beyond efficiency improvements and deploy AI for more comprehensive transformations in their business models. This enables organisations not only to improve processes, but also to discover new opportunities that GenAI offers for the future.

The importance of responsible AI is by now obvious to many companies. They are looking to deploy AI to meet their strategic goals, but at the same time want to do so sustainably. However, who answers the question of how to determine where to start? Aspects you should at least consider when deploying AI responsibly are based on policy and governance, quality assurance and legitimacy. In the complex world of AI, ethics and privacy are vital in shaping a responsible AI future.

Cyber resilience

In the world of cyber resilience, AI is similarly revolutionising and radically changing our ways of dealing with digital threats. By using algorithms to rapidly process and analyse huge datasets, AI is improving our ability to identify threats more accurately and quickly.

The integration of AI into cybersecurity shows that it can strengthen defences by quickly detecting threats and improving security. Yet this advance in AI-driven security is not without dangers, as AI also brings new risks and threats to cybersecurity that challenge existing frameworks.

Conflicting

AI’s role in cybersecurity is contradictory - a tool for both defence and attack. While AI’s capabilities in pattern recognition and threat anticipation enhance cybersecurity efforts, its opponents also use AI to carry out sophisticated and elusive attacks.

This dual nature of AI in cybersecurity requires a nuanced understanding and strategic approach from organisations and security professionals.

Challenge

AI is therefore opening new windows of opportunity for attackers and defenders alike. Threats are becoming increasingly complex and with it the increase in regulation and compliance requirements. There is a global shortage of cybersecurity expertise and this is exactly why professionals skilled in AI-driven security are urgently needed. While embedding far-reaching automation in attack strategy relieves pressure on pentesters and red teams, deploying AI in cybersecurity improves response times and overall security measures.

A hands-on proactive approach enables cybersecurity professionals to focus on strategic initiatives, optimising resources and strengthening security policies. It is now mostly paired with AI-driven automation that streamlines tasks like vulnerability management. While AI significantly strengthens the defensive side in cybersecurity, you need to ensure a good balance in the number of notifications generated by AI. An excessive number of notifications may overwhelm analysts, which actually reduces the effectiveness of a Security Operations Centre. With this in mind, one solution is a more selective approach, where only notifications with a higher threat probability of the crown jewels are reported.