Optimizing Cybersecurity Budgets and Team Efficiency with AI

In today's rapidly evolving digital landscape, the cybersecurity sector faces a dual challenge: escalating threat complexity and a persistent shortage of skilled professionals. As highlighted by Tuổi Trẻ, organizations are increasingly turning to Artificial Intelligence (AI) not merely as a tool, but as a strategic imperative to bridge this gap and optimize operational efficiency.

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Organizations are forced to find ways to optimize costs while maintaining effective protection – and AI is seen as a potential solution to the skill shortage problem.

Kaspersky's approach, emphasizing 'Cybersecurity True to Business,' resonates deeply with the practical needs of Vietnamese enterprises. The focus on enhancing protection, simplifying complex security operations, and making the most of limited resources is crucial. While AI offers powerful automation capabilities for tasks like alert triage and initial response, the article rightly points out that human expertise remains indispensable. The nuanced decision-making and adaptability required in cybersecurity cannot be fully replicated by machines alone.

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Even in large enterprises, a dedicated team is needed to monitor and adjust continuously changing rules.

This synergy between AI and human analysts is where the real value lies. Kaspersky's solutions, such as AI Analyst within their Managed Detection and Response service, are designed to alleviate the burden of repetitive tasks and false positives. This frees up valuable human resources, allowing experienced professionals to concentrate on sophisticated threats and strategic defense planning. This is particularly relevant in Vietnam, where rapid digitalization is outpacing the development of a deep cybersecurity talent pool.

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The combination of AI and humans is the key – helping to reduce repetitive work, improve efficiency, and maintain security without a corresponding increase in resources.

Moreover, the introduction of technologies like Kaspersky Machine Learning for Anomaly Detection (MLAD) offers predictive capabilities, helping industries anticipate and mitigate potential equipment failures or cyberattacks before they disrupt operations. This proactive stance is vital for maintaining business continuity and protecting critical infrastructure. Ultimately, Kaspersky's strategy is not about replacing human experts but augmenting their capabilities, ensuring that cybersecurity efforts are both effective and resource-efficient in the face of increasingly sophisticated adversaries.

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AI helps reduce repetitive work by suggesting actions for users to approve, while optimizing resources through automated scenarios.