Your network security perimeter is gone, but SASE has you covered

Advances in enterprise networking have changed where and how people work. You can see it when a branch manager approves a payment from a coffee shop, a factory engineer checks production metrics from a tablet on the plant floor, or a retail worker connects a new point-of-sale device in minutes instead of waiting for IT support.

Software-defined networking has made connectivity programmable, but routing traffic intelligently is only part of the equation. In environments that include cloud platforms, branch offices, factories and remote users, traditional network security struggles to keep up.

What you need is security that understands, in the moment, who is connecting, what they’re accessing and whether that interaction should be trusted.

What SASE actually means: It’s not hardware

Secure access service edge (SASE) is one of the most misunderstood terms in enterprise IT. It isn’t a piece of hardware, and it doesn’t replace your software-defined WAN (SD-WAN) with a box. It’s a way of designing your network so that connectivity and security operate as a single, cloud-delivered service.

In practice, that means combining networking capabilities with security functions — including identity-aware access, threat inspection and policy enforcement — through an integrated platform rather than a separate stack. For example, a bank branch in Nairobi, a retail store in Dubai and a remote employee in Johannesburg may all connect through different networks and devices, but the security policies follow their identities rather than their physical locations.

SASE is best understood as three things at once: a framework for distributed environments, a strategy for moving policy enforcement closer to your users and devices, and a mindset shift from trusting network locations to trusting verified identity and context.

• ALSO READ → Why SASE is the best way to secure your data and assets

The security engine under the hood

Security service edge (SSE) is the security-focused half of the SASE architecture. If SD-WAN manages the network pipes, SSE adds the intelligence that follows a zero trust approach to decide who gets access, what they can reach and whether their behavior looks trustworthy.

This matters because enterprise infrastructure no longer revolves around a single data center. Applications now live on Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and factories, retailers and banks run thousands of connected devices well beyond their traditional corporate perimeters.

SSE addresses this by anchoring security in identity rather than location. And because enforcement is cloud-delivered, users connect directly to applications rather than through a central bottleneck, which cuts latency and improves the user experience.

Keeping threats from spreading

As your organization expands across regions, clouds and edge environments, so your attack surface grows. This makes microsegmentation one of the most important tools in modern secure networking.

Rather than granting broad access the moment a user authenticates, it divides environments into tightly controlled zones so that a compromise in one area stays contained. This means a breach at a retail branch doesn’t open a pathway to financial systems or cloud production environments.

This relates directly to zero trust, as every access request is continuously verified. As environments grow more complex, that verification increasingly needs automation behind it, as your security teams can no longer inspect every alert or update every policy manually.

• ALSO READ → Unified SASE takes network security and connectivity to the next level

Why this matters in manufacturing

In manufacturing, the convergence of IT and OT networks is one of the defining security challenges of the decade. Industrial control systems that once operated in isolation, such as supervisory control and data acquisition (SCADA) platforms, shop-floor equipment and programmable logic controllers, are now connected to enterprise applications, cloud analytics and remote support systems.

SSE platforms help manage this environment practically. They discover and map previously unmanaged devices in real time, often revealing a footprint far larger than security teams expected.

They also enforce granular access controls, so a contractor accessing one of your production systems remotely doesn’t get unrestricted network access, and machines communicate only with approved systems.

Most critically, AI-driven threat detection can identify abnormal behavior and block attacks, including ransomware, before they disrupt a production line. For manufacturers, downtime can cost millions in lost output, making prevention worth far more than recovery.

Why this matters in retail and banking

Retailers run stores, e-commerce platforms, mobile applications, smart shelves, self-checkout systems, customer Wi-Fi and connected distribution centers — all of which need to be secure. Banks face their own version of the same challenge as digital banking, mobile payments and branch modernization multiply the number of systems and devices requiring protection.

The result is an increasingly broad attack surface that traditional perimeter-based architectures can no longer handle.

In addition to the benefits of SSE already listed here, the use of cloud-delivered security services reduces the hardware footprint inside every branch while simplifying management. Data-protection capabilities automatically identify and secure sensitive information across cloud providers, software-as-a-service (SaaS) platforms and edge environments. This helps you meet the Payment Card Industry Data Security Standard (PCI DSS) and increasingly strict regional data regulations.

There’s a performance dimension, too. Slow payment transactions and unstable applications affect revenue and customer trust. By combining operational platforms with autonomous management systems, you can pinpoint and resolve performance problems before your customers notice — whether the issue originates in your local network, the carrier or the cloud application.

The operational benefits add up quickly. A retailer can open and secure a new branch in days rather than weeks, with security policies inherited automatically from predefined blueprints. Hardware refresh cycles give way to more predictable spending, and automation reduces the configuration drift that slows large, distributed environments over time.

Toward networks that run themselves

SASE is also laying the foundation for something more ambitious: networks that increasingly manage themselves.

Rather than configuring Internet Protocol (IP) addresses, ports and rules manually, intent-based networking lets organizations express what they need the network to do in plain business terms — for example, prioritize payment traffic, maintain uptime for critical applications or keep OT sensors off the public internet. AI-driven controllers then translate those intentions automatically into enforceable policies.

It’s a meaningful shift from reactive to proactive operations, and it requires a level of expertise in AI, machine learning and cloud-native architecture that most organizations lack in-house — a key reason many are partnering with global system integrators.

Where NTT DATA makes a difference

As networks become more distributed and security more complex, organizations find themselves managing a growing collection of tools that don’t always work well together. We take a different approach by bringing networking, security and observability into a single architecture that spans everything from edge devices and OT systems to cloud applications.

Rather than treating infrastructure and security as separate disciplines, we help you manage them as a connected whole to reduce complexity, improve visibility and create networks that can increasingly operate and respond on their own. This goal is supported by AI-powered platforms that provide end-to-end visibility of the environment and help automate many of the tasks that traditionally required manual intervention. You benefit from:

• AI-driven remediation: Our platform approach uses machine learning to identify unusual behaviour, determine the likely root cause and, in many cases, resolve issues automatically.

• Intent-based networking: Instead of configuring hundreds of technical settings manually, you can define business priorities such as “prioritise payment traffic” or “keep OT devices isolated from the public internet.” These requirements are then translated automatically into network, security and cloud policies.

• Predictive AIOps: By analyzing historical patterns and trends, AI can identify potential capacity constraints or security risks before they become operational problems.

• Full-stack visibility: Our observability services provide a single view of your infrastructure, applications and security, making it easier to understand what’s happening everywhere.

• Proactive performance management: Rather than waiting for systems to fail, you can identify the source of latency, instability or unusual behaviour before it affects your employees, customers or production processes.

• Digital experience management: AI-powered monitoring helps pinpoint whether performance issues originate in the local network, the service provider or the cloud application itself, reducing the time needed to troubleshoot and resolve problems.

We also extend our Managed Extended Detection and Response (MXDR) service with agentic AI capabilities. These autonomous software agents can investigate and analyze suspicious activity across both edge and cloud.

• ALSO READ → From laptop to cloud, SASE is the answer to your security woes