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Cloud Security Risks Rise Amid Rapid AI Adoption

7/7/2026
Cloud Security Risks Rise Amid Rapid AI Adoption

The global adoption of artificial intelligence (AI) is on the rise, with significant implications for various sectors, including Indonesia. From casual users to educational institutions and business operations, AI is increasingly becoming integral to many processes.

Emerging Challenges in Cloud Security

However, this widespread adoption brings new challenges, particularly concerning cloud security. The reliance on cloud services, business applications, and intricate data pipelines means that companies are facing difficulties in monitoring activities across their IT ecosystems.

Data is now distributed across multiple platforms, and AI systems leverage machine identities, which are digital identities enabling automated communication between applications or systems. The more connections that exist, the greater the potential pathways for cybercriminals if not adequately supervised.

The Need for Comprehensive Visibility

According to Gigamon, a US-based company specializing in network visibility, the primary challenge has shifted from merely deciding where to store data to ensuring comprehensive visibility across cloud environments. Organizations must track the movement of data, identify who accesses it, and verify that security controls are functioning correctly.

As highlighted by Steve Goudreault, Cloud Security Evangelist at Gigamon, "With the increasing scale of AI usage, companies need clearer visibility across their cloud environments to maintain control." Simply knowing where data is stored is no longer sufficient; businesses must also ensure that their data is secure, monitored, and effectively managed.

AI Integration in Indonesia

This trend is not limited to global markets; Indonesia is also witnessing a shift as cloud infrastructure expands and AI implementation finds its way into business operations. The national roadmap "Making Indonesia 4.0" promotes tighter integration of manufacturing, supply chains, and data platforms to facilitate digital transformation.

However, AI does not operate in isolation. It often involves a mix of public cloud, private cloud, Software-as-a-Service (SaaS), legacy systems, and various business applications. This complexity complicates control, compliance, and risk management aspects for organizations.

Considering Sovereign and Hybrid Clouds

Gigamon further notes that a growing number of companies in Indonesia are exploring the use of sovereign cloud solutions, local clouds, and hybrid cloud environments in response to increasing concerns about cybersecurity, data sovereignty, and regulatory compliance.

As businesses navigate this landscape, the emphasis on cloud security will be crucial for safeguarding their operations and maintaining trust in AI technologies.

Source: https://tekno.kompas.com/read/2026/07/07/17400017/risiko-keamanan-cloud-meningkat-di-tengah-masifnya-adopsi-ai

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