Johan Paulsson , CTO at Axis Communications , tells us how 2024 ’ s technology trends , from generative AI to regulatory impacts , are shaping the future of the security sector .

Once again , we ’ re left in no doubt that technological innovations are bringing both huge opportunities and more complex challenges than we ’ ve faced before , and they show no sign of slowing down . Keeping pace with the changes and their implications – for vendors , customers and regulators – demands focus , energy and diligence .

The key technological trends that we see affecting the security sector in 2024 reflect this rapidly evolving environment . As ever , they ’ re a mix of positive opportunities to be grasped , alongside the challenges that need to be addressed .

1 . The potential for generative AI in the security sector

Previous technology trends posts have highlighted the potential for AI and Deep Learning in the security sector , with a particular focus on advanced analytics on the Edge of the network , in cameras themselves .

This proliferation of Deep Learning to the Edge is accelerating . Virtually any new network camera being launched features Deep Learning capabilities , which vastly improve the accuracy of analytics . These capabilities are the foundation for building scalable cloud solutions as they remove such heavy bandwidth requirements , reduce processing in the cloud and make the system more reliable . new content – words , images , even video – based on natural language prompts and questions from users .

Every business is looking at the potential use case for generative AI , and the security sector is no different . In 2024 , we will see security-focused applications appear based on the use of LLMs and generative AI . These will likely include assistants for operators , helping them more accurately and efficiently interpret what is happening in a scene , and as interactive customer support , providing more useful and actionable responses to queries from customers . In addition , generative AI has already proven its value in software development and this will be a benefit seen throughout the security sector .

We do , of course , need to be aware of the risks and potential pitfalls of generative AI . There will be debates over which models to employ and how , and particularly around the use of open-source vs proprietary models , but the biggest risk will be to ignore it .

2 . Solution management efficiencies driving hybrid architecture

Hybrid solution architectures – those employing the advantages of on premise , cloud and edge technologies – are now established as the new standard in many security solutions . Functionalities are deployed where it is most efficient , utilising the best of each instance in a system , adding an increased level of flexibility . Ultimately , system architectures should be in service to the customer ’ s needs , not the vendor ’ s preferred structure .

Johan Paulsson , CTO at Axis Communications

However , in terms of AI , 2023 has been the year where large language models ( LLMs ) as the basis for generative AI have forced their way into public consciousness . This form of AI supports the creation of

To a great extent , it ’ s a question of accessibility . The more of a solution that exists in environments easily accessible to both vendors and customers , the more ability vendors have to manage elements of the

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