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Reliable cyber infrastructure key to AI readiness, says ManageEngine CEO

JAKARTA — Cyber infrastructures need to be reliable to support emerging technologies as scaling amid increasing demand for artificial intelligence (AI), according to the top official of ManageEngine, the enterprise IT management software division of Zoho Corp. “Sometimes AI is magical, but it is too good to be true. It means it also comes with […]

Context & Analysis

The Philippines is riding a wave of artificial intelligence adoption, from customer service automation in the IT-BPM sector to predictive analytics in manufacturing and retail. Yet the promise of AI remains conditional on one unglamorous reality: the underlying digital foundation must hold. When enterprises rush to deploy generative models or automate workflows without hardened networks, secure data pipelines, and resilient cloud architecture, they invite operational fragility. Downtime, data exposure, and compliance gaps quickly erase any efficiency gains.

For local businesses, this infrastructure gap carries direct economic consequences. The IT-BPM industry alone accounts for a substantial portion of GDP and formal employment, making system reliability a matter of national competitiveness. Meanwhile, financial institutions face strict supervisory expectations from the Bangko Sentang Pilipino regarding cyber risk management, and publicly listed companies must satisfy Securities and Exchange Commission disclosures on material digital threats. Small and medium enterprises, encouraged by the Department of Trade and Industry to digitize operations, often lack the capital and technical bandwidth to build enterprise-grade security from scratch. The result is a fragmented readiness landscape where only well-resourced firms can safely scale AI workloads without exposing themselves to regulatory or financial penalties.

Investors and corporate leaders should track how domestic data center capacity, fiber backbone expansion, and cybersecurity talent pipelines evolve over the next two years. Regulatory bodies are already tightening standards around incident reporting, third-party vendor risk, and data governance, which will force companies to audit their IT stacks more rigorously. Watch for shifts in enterprise procurement toward integrated security platforms, increased demand for cyber insurance, and clearer disclosure of AI-related operational risks in annual reports. Consumer trust will also hinge on how well businesses prevent service disruptions and protect personal information as AI tools move from pilot programs to core workflows.

Artificial intelligence will not rescue a brittle technology environment. Philippine firms that treat network resilience, identity management, and continuous monitoring as core business functions rather than IT afterthoughts will be the ones to convert AI experiments into durable productivity. Those that ignore the plumbing risk paying for innovation while leaving their operations exposed.

Analysis by IJE Software — original commentary on the story above.

This is an excerpt. Read the full article at the original source:

Source: bworldonline.com

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