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Digital Maturity: Building Customer Trust Drives Success

Ari Weil

Balancing digital innovation with security is critical to helping businesses deliver strong digital experiences, influencing factors such maintaining a competitive edge, customer satisfaction, customer trust, and risk mitigation. But some businesses struggle to meet that balance according to new data.

The data comes from a survey conducted by Akamai and Forrester that gathered the opinions of 350 global IT leaders. These findings showed that companies that meet the standards of being "digitally mature" — that is able to balance innovation and security — experience faster growth than their competitors. The most digitally mature companies more frequently report double-digit revenue growth than their peers.

Customers are actively seeking strong digital experiences driven by high performing websites and applications personalized to their needs. Critical to making that happen is leveraging real customer data to inform the direction and creation of new products and services that power future growth. The most mature companies succeed by putting customer data at the center of both experience and security strategies.

Building Customer Trust

Customers will not sacrifice their privacy for strong digital experiences

The real key to success in the digital era is building customer trust. Customers will not sacrifice their privacy for strong digital experiences and are more willing to share personal data with brands they trust. In fact, mere suspicion of a company's negative data use practices can cut revenues by up to 25 percent.

When firms fail to deliver on security, the damage is three-fold. Data breaches can cause damage to brand reputation, customer trust, and revenue. Customers are willing to share more data with companies they trust; in turn, their data creates rich opportunities for companies to deliver more relevant experiences. On the other hand, lost trust negatively impacts the evolution of digital experiences that drive revenue growth. Trust is the glue that binds customers to a brand.

Fortunately, this survey found that many executives understand the importance of building trust in their customers, as 75 percent say trust will be critical to their business in two years. And more than 50 percent of executives believe they already have a high level of trust from their customers. On the other hand, a significant percentage of executives are not as confident, with 36 percent reporting that they have only a moderate level of trust from their customers.

Balancing Security with Digital Experience

It's troubling that executives do not draw a strong connection between customer data and future revenue

Unfortunately, many companies are struggling to balance security with digital experience. While the average respondent scored high in agreeing a breach would have a catastrophic impact on their business, they scored lowest in making the connection that revenue is secured when customer data is secured. Since customer data is critical to improving products and experiences, it's troubling that executives do not draw a strong connection between customer data and future revenue.

In order to succeed in delivering both strong digital experiences and maintaining customer privacy with security, companies should adopt a Zero Trust framework to better deliver on the shared imperative. Zero Trust networks accomplish the dual tasks of deep, continuous data inspection across the network and lean operation and oversight. It puts the focus of enterprise security on the data itself and requires businesses to continuously assess what is trustworthy activity.

Customer data is key to success in the digital era, so businesses need to treat customer data as a valuable asset to be defended against outside threats. To maintain the trust of their customers, businesses must protect their customers' data as if their company's future depends upon it — it most likely does.

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As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

Digital Maturity: Building Customer Trust Drives Success

Ari Weil

Balancing digital innovation with security is critical to helping businesses deliver strong digital experiences, influencing factors such maintaining a competitive edge, customer satisfaction, customer trust, and risk mitigation. But some businesses struggle to meet that balance according to new data.

The data comes from a survey conducted by Akamai and Forrester that gathered the opinions of 350 global IT leaders. These findings showed that companies that meet the standards of being "digitally mature" — that is able to balance innovation and security — experience faster growth than their competitors. The most digitally mature companies more frequently report double-digit revenue growth than their peers.

Customers are actively seeking strong digital experiences driven by high performing websites and applications personalized to their needs. Critical to making that happen is leveraging real customer data to inform the direction and creation of new products and services that power future growth. The most mature companies succeed by putting customer data at the center of both experience and security strategies.

Building Customer Trust

Customers will not sacrifice their privacy for strong digital experiences

The real key to success in the digital era is building customer trust. Customers will not sacrifice their privacy for strong digital experiences and are more willing to share personal data with brands they trust. In fact, mere suspicion of a company's negative data use practices can cut revenues by up to 25 percent.

When firms fail to deliver on security, the damage is three-fold. Data breaches can cause damage to brand reputation, customer trust, and revenue. Customers are willing to share more data with companies they trust; in turn, their data creates rich opportunities for companies to deliver more relevant experiences. On the other hand, lost trust negatively impacts the evolution of digital experiences that drive revenue growth. Trust is the glue that binds customers to a brand.

Fortunately, this survey found that many executives understand the importance of building trust in their customers, as 75 percent say trust will be critical to their business in two years. And more than 50 percent of executives believe they already have a high level of trust from their customers. On the other hand, a significant percentage of executives are not as confident, with 36 percent reporting that they have only a moderate level of trust from their customers.

Balancing Security with Digital Experience

It's troubling that executives do not draw a strong connection between customer data and future revenue

Unfortunately, many companies are struggling to balance security with digital experience. While the average respondent scored high in agreeing a breach would have a catastrophic impact on their business, they scored lowest in making the connection that revenue is secured when customer data is secured. Since customer data is critical to improving products and experiences, it's troubling that executives do not draw a strong connection between customer data and future revenue.

In order to succeed in delivering both strong digital experiences and maintaining customer privacy with security, companies should adopt a Zero Trust framework to better deliver on the shared imperative. Zero Trust networks accomplish the dual tasks of deep, continuous data inspection across the network and lean operation and oversight. It puts the focus of enterprise security on the data itself and requires businesses to continuously assess what is trustworthy activity.

Customer data is key to success in the digital era, so businesses need to treat customer data as a valuable asset to be defended against outside threats. To maintain the trust of their customers, businesses must protect their customers' data as if their company's future depends upon it — it most likely does.

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...