Building Trust as AI Speeds Up Security Risk

For service providers in Asia Pacific, connectivity is not just another service. It is what keeps businesses running, public services available, customers connected, and daily life moving. When networks carry that level of responsibility, resilience cannot be treated as a back-office issue.

AI is changing the security landscape quickly. Issues that may once have taken longer to uncover can now surface faster, and that creates a new level of pressure for the organisations responsible for keeping networks stable, secure, and available.

That creates real tension for service providers because they need to move faster on security, but they cannot afford to treat live networks like test environments. As AI shortens the time between discovery and action, operators still need to test, approve, and deploy fixes without affecting customer experience or service commitments. No one wants security updates to become another fire drill.

That is why we are moving to a more predictable security update model. The aim is simple: give service provider partners clearer notice, a steadier rhythm, and more time to prepare before updates arrive. In a market where security communication can too often feel reactive, predictability is one of the clearest ways to build trust.

Predictability for live networks
Under this approach, service provider partners will receive advance notice of what is coming. If an update is planned, they will have time to prepare. If nothing is planned, they will not be overloaded with unnecessary noise. That distinction matters, especially for teams already balancing live operations, customer commitments, internal approvals, and carefully managed maintenance windows.

The broader point is not the mechanics of any one update. It is the commitment to make security easier to plan around. Service providers should not have to choose between moving quickly and moving carefully. They need enough clarity to do both.

From point fixes to systemic hardening
AI is also changing how technology providers need to think about resilience. It is no longer enough to respond issue by issue. Customers need confidence that vendors are looking more broadly, learning from what is found, and strengthening the underlying software and systems they depend on.

For service providers, that broader approach matters. A recurring issue can affect more than one part of a live service environment. By looking across the environments our partners rely on, we can focus on improving the foundation, not only addressing individual symptoms as they appear.

That kind of shift is important in the age of AI. As the pace of discovery increases, service providers need more than long lists of individual issues to triage. They need clear guidance, practical next steps, and a trusted partner helping them understand what matters most.

Transparency still matters. When an issue requires specific customer action, we will continue to provide the detail customers need. But the larger priority is helping partners act with confidence, rather than leaving them to interpret every update in isolation.

Reducing pressure, building trust
Service providers are already managing more security activity, more operational complexity, and more pressure to act quickly without disrupting live services. A more predictable update model helps reduce that pressure by giving teams clearer notice, a steadier rhythm, and more time to plan around existing change windows, customer commitments, and internal approvals.

At the same time, our core commitments are not changing. Customers will continue to receive clear communication, timely guidance, and support when urgent issues need to be addressed outside the normal rhythm. The difference is that more of the work that can be planned will be easier to see coming.

That matters because trust in the AI era will not come from asking service providers to move faster on their own. It will come from helping them become better prepared. By putting more structure around security updates and focusing on resilience across the environments partners rely on, we can help service providers strengthen their networks without turning every update into a fire drill.

Building resilience for what comes next
AI will only continue to speed up how security issues are found, understood, and acted on. The response has to be just as disciplined. For service providers, this is about more than keeping software current. It is about protecting the networks people and businesses rely on every day, while giving operators a clearer, more manageable way to act.

By making security updates more predictable, communicating earlier, and focusing on the needs of service provider partners, we are helping customers strengthen resilience without turning every security update into a fire drill. In the AI era, trust will not come from saying that security matters. It will come from giving partners the clarity, consistency, and preparation they need to keep their networks ready for what comes next.