EDITOR ’ S QUESTION
HOW ARE GENERATIVE AI , AI AND ML PLATFORMS CHANGING MEDIUM TO LONG- TERM SECURITY STRATEGIES AND POLICIES FOR AFRICAN ENTERPRISES ? DESCRIBE BEST PRACTICES FOR AFRICAN SECURITY ADMINISTRATORS THAT CAN INCLUDE USAGE OF GENERATIVE AI , AI , ML ?
Security incidents require immediate action which can strain human teams . Security administrators can now automate routine tasks in the incident response process using AI and ML . Executives from SentinelOne , NETSCOUT , ManageEngine , Phosphorus Cybersecurity , and BeyondTrust explain more .
EZZELDIN HUSSEIN , REGIONAL SENIOR DIRECTOR , SOLUTION ENGINEERING META , SENTINELONE
AI and ML have shifted security operations from a reactive approach to a proactive , often predictive one . Traditionally , security teams would wait for an incident to occur before responding . Now , AI can analyse vast datasets in real-time , identifying anomalies and potential threats before they escalate . AI-powered anomaly detection tools learn patterns in network behaviour and detect unusual activities , potentially stopping attacks in their early stages .
Generative AI brings a unique layer to security by creating content and simulating realistic scenarios , aiding employee training and security awareness . It can generate realistic phishing emails for internal training exercises , allowing organisations to test and strengthen employees ’ ability to recognise and respond to social engineering attacks . providing a single , enriched source of information that enhances detection accuracy and timeliness .
Security incidents also often require immediate action which can strain human teams . Security administrators can now automate routine tasks in the incident response process using AI and ML . AI-driven response playbooks can automatically contain threats , prioritise alerts , and recommend or initiate containment actions . This frees security teams to focus on high-impact activities and minimizes response time .
Considering the growing adoption of AI , maintaining transparency in these algorithms ’ decision-making processes is essential . Security administrators must monitor AI models for potential biases and ensure they comply with regulatory standards , particularly in sectors like finance and healthcare .
With AI-driven threat intelligence , solutions pull data from sources and analyse it in real-time , enabling security teams to detect sophisticated attack vectors . Integrating AI into threat intelligence systems allows administrators to streamline data from multiple feeds ,
AI and ML technologies evolve quickly , and so should security policies . Security teams should establish flexible policies that can adapt to new AI and ML capabilities as they emerge , to ensure that the organisation ’ s defences remain up-to-date and effective against new threats .
26 INTELLIGENTCIO AFRICA www . intelligentcio . com