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AI cybersecurity refers to the use of artificial intelligence (AI) to protect organizations from cyber threats. It involves leveraging advanced machine learning technology and algorithms to detect, identify and mitigate cyber attacks.

Augmentation for Resource-Constrained Teams: By automating processes, AI enables smaller or less resourced security teams to perform their duties with greater efficiency and accuracy. In addition, AI provides consistent and continuous protection to defend against evolving threats.

Cost Reduction: With its scalability and capacity to handle massive volumes of data, AI technology enables organisations to reduce their operating costs through the automation of repetitive tasks such as threat analysis, vulnerability assessments and patch management. It also improves threat detection accuracies, speeding up alert investigations and triage by an average of 55%.

Enhanced Situational Awareness: AI helps to create detailed IT asset inventories and threat exposure assessments. These insights empower security analysts with the ability to predict where a breach is most likely to occur, and enables them to proactively hunt and respond to threats faster.

New Vulnerabilities: With its scalability and the ability to process vast quantities of data, AI technology can uncover a wide range of unknown threats, including undetected vulnerabilities that traditional systems can miss. This enables organisations to take preventive measures against undisclosed cyber attacks.

Like any other technology, AI can pose security risks if not implemented correctly. As a result, organisations must integrate security into their AI projects and workflows from the outset to ensure they are secure. This is known as a ‘secure by design’ approach.