FEATURE : CYBERSECURITY
THE RISE OF AI-DRIVEN SECURITY UNDERLINES THE SPECIFIC IMPORTANCE OF PROTECTING AI IMPLEMENTATIONS .
These emerging platforms are taking on key SIEM capabilities with the aim of providing greater agility , scalability and real-time threat analytics . Rather than fully replacing SIEMs , these new solutions are driving SIEM vendors to evolve their offerings for the world of cloud , containers and highly distributed environments .
The common thread is enabling security teams to harness massive amounts of data and intelligence to detect , investigate and respond to threats with speed and precision . As cyberattacks become more sophisticated , these data-driven platforms will only grow in importance . Looking to the future I expect to see the decentralisation of SIEM – it will not necessarily be sold as a standalone . Instead , we will see specialised players emerging to offer specialised SIEM services .
2 . The AI revolution : A double-edged sword
Generative AI has firmly entered the security ecosystem and is already being used to pursue positive and malicious objectives . Threat actors exploit AI ’ s capabilities to craft more sophisticated attacks , forcing businesses to leverage it for defence . For example , organisations are increasingly utilising AI products , like security co-pilot – Microsoft is changing the AI game for the security industry , introducing strategic AI features which will enhance the analyst experience and increase the cohesive nature of the security ecosystem . Advances like this are crucial to help incident response times and accuracy . With AIdriven content engineering , cybersecurity awareness and threat intelligence dissemination will continue to become more streamlined . At the same time , the rise of AI-driven security underlines the specific importance of protecting AI implementations .
3 . Evolving Zero Trust model : AI-enhanced security
Zero Trust , while not a new concept , has evolved into a more adaptive model , leveraging AI ’ s powerful
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