FEATURE
DThe cybersecurity landscape in 2023 continues to be shaped by a range of opposing forces , perhaps most importantly , the growing sophistication of cyber threats and rapid innovation in protection technologies . The result is an environment where organisations and their adversaries are increasingly utilising automation , real-time data and AI-driven systems to gain an advantage .
Arguably , the pace of change across the security ecosystem is accelerating faster than at any time in recent years , driven by the widespread adoption of cloud technologies , the proliferation of Internet-of-Things ( IoT ) devices and , of course , the transformational emergence of Generative AI . With all this in mind , where is the security ecosystem heading as we approach the end of 2023 and what are the trends that will determine the direction of travel ?
1 . The evolution of SIEM
Security Information and Event Management ( SIEM ) solutions have long been a core component of enterprise security stacks . However , traditional SIEMs are losing some ground to newer platforms optimised for handling large volumes of fast-moving security data . For instance , security data lakes act as centralised repositories where security event data from multiple sources can be efficiently stored and accessed , while SecDataOps provides the tools and practices to ingest , manage and analyse security data flows .
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 AI-driven 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 capabilities to deliver more effective protection . Given
Avkash Kathiriya , Sr . VP – Research and Innovation at Cyware www . intelligentciso . com
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