In the current threat landscape, where threats are evolving rapidly, proactive security is crucial. The introduction of Artificial Intelligence (AI) brings both benefits and risks, as security teams can use it to improve defenses while malicious actors leverage it to enhance their offensive strategies. Capabilities such as automation, predictive analysis, and the development of sophisticated…
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Technological advancements in recent years have been actively accompanied by cyberattacks targeting associated vulnerabilities. Recent data suggests that cybercrime is projected to cost businesses trillions of dollars annually, with global estimates indicating an increase of 6.4 trillion USD (+69.41%) from 2024 to 2029, reaching a peak of 15.63 trillion USD by 2029 (Petrosyan, 2024a). As…
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In today’s digital landscape, identity and access management (IAM) and regulating access to sensitive data and resources are paramount for any organization. From a zero-trust framework to a cybersecurity mesh architecture, the identity fabric is the core and is considered the most critical element in defining your security strategy. It is and was IAM that…
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| Graham Thomson| Cybersecurity In the ever-dynamic domain of modern-day threat landscapes, the conventional approach to security is limited and needs transformation using the infusion of intelligence from security data nodes, accompanied by an exceptional degree of agility. A swift and resolute trajectory for agile security has to be charted to help steer cyber security capabilities…
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Artificial Intelligence (AI) powered tools have become prevalent in the cybersecurity landscape. AI-powered tools are crucial in identifying cyberattacks, mitigating future threats, automating security operations, and identifying potential risks. On the one hand, introducing AI in the global cybersecurity industry has led to the automation of various tasks. Still, on the other hand, it has…
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