EDITOR ’ S QUESTION
For instance , in a multi-cloud environment , unified data streamlining enables seamless visibility , ensuring that each system within an enterprise contributes to a collective defence strategy . GenAI can further enhance visibility by enabling Natural Language Processing models that streamline communication between systems , making cybersecurity data more accessible .
Security policies should encompass continuous authentication mechanisms , adaptive thresholds , and data encryption , ensuring that sensitive information is safeguarded even as it flows across various business units . By adopting an AI-driven digital culture , enterprises can transition from isolated , manual checks to a cohesive security ecosystem that adapts to emerging threats in real time .
OSAMA ALZOUBI , MIDDLE EAST AND AFRICA VICE PRESIDENT , PHOSPHORUS CYBERSECURITY
AI and ML are helping security teams continuously monitor threats and adapt in real-time . Think about it : these systems are always learning , analysing enormous amounts of data to detect unusual behaviour , like unauthorised access attempts or suspicious data transfers , before they become full-blown crises . This adaptability means AI systems can prevent attacks from escalating , even on legacy infrastructures that may not have built-in modern defences .
Network segmentation divides the network into secure segments to contain potential threats . This prevents hackers from moving freely across the system if one area is compromised . Regular patching keeps all IoT devices , updated with the latest security patches . This reduces vulnerabilities that attackers could exploit .
The rise of connected devices , especially in critical sectors like healthcare , manufacturing , and critical infrastructure , adds complexity . Here , AI platforms become crucial . They continuously monitor and manage the security of the extended Internet of Things , xIoT environment . Unlike traditional cybersecurity frameworks , these platforms leverage machine learning algorithms to assess risks and identify vulnerabilities in real time . This evolution is vital as it enables organisations to stay ahead of rapidly evolving threat landscapes .
Generative AI , meanwhile , is adding a fresh angle to security . For security administrators , using Generative AI for threat modelling and incident response simulations provides deeper insights into an organisation ’ s risk posture .
Before deploying advanced solutions , it is crucial to shore up foundational security protocols . This ensures a strong baseline defence . Multi-Factor Authentication , adds an extra layer of security . Requiring a secondary verification method , such as a code sent to a mobile device , helps ensure only authorised personnel can access critical systems .
Credential management avoids using default credentials on IoT devices . Implement automated credential rotation to maintain compliance with security policies and minimise risks .
Invest in unified security management platforms for comprehensive , long-term protection , consider platforms that automatically discover , secure , and manage xIoT devices . These solutions continuously monitor network activity , apply real-time remediation , and enforce secure configurations to protect the entire environment .
Mitigate human error through training . Since human mistakes , like falling for phishing scams or using weak passwords , are a major source of breaches , invest in regular cybersecurity training . Educating staff on how to identify and avoid common threats turns your workforce into a key line of defence .
The goal is not just to keep up with the cybercriminals but to stay a step ahead . As these technologies evolve , they will continue to empower enterprises with the tools they need to be agile .
28 INTELLIGENTCIO AFRICA www . intelligentcio . com