Retail security teams must address three questions. Firstly where does customer data live, and who can touch it? Next, would checkout survive a network failure, and finally, do AI agents operating inside guardrails can be inspected?
For a single-store retailer with no cloud services on tap, the answer is straightforward. Customer information stays inside those four walls. If the retailer controls the premises, they control the data. But things get more complicated for larger operations.
Cloud platforms and AI applications now power growth, and each new connection opens another pipeline for customer data to travel through, expanding the potential for data leaks.
Compounding this issue is the fact that retail is a network of products, people and above all data. A customer’s purchase history, payment cards, addresses, and preferences no longer sit inside one location but trail across dozens of interconnected systems, every hour every day.
Every Retail Transaction Leaves a Data Trail
Consider the process a single customer purchase sets in motion. Payment details, a loyalty update, an inventory change, and a fulfillment request: all move through multiple systems in seconds. From there, the data duplicates. A marketer exports loyalty records for a campaign, a supplier downloads demand forecasts, or a store manager shares a report through an unmanaged app. Each action creates an untracked copy, and the security team loses data lineage: the record of where information originated, who touched it, and where it moved.
Verizon’s 2026 Data Breach Investigations Report on retail found that breaches with third-party involvement have increased by 60% from last year’s dataset, reaching 48% of total breaches.
Retailers need to discover and classify every copy of this sensitive data across cloud apps, store systems, and partner platforms, data lineage to trace each copy back to its source. They also need to block a risky upload or download before it completes. This work reveals potential issues with Payment Card Industry (PCI) data, permissive access rights, and forgotten shadow data. Typically these two problems are addressed by data security posture management (DSPM) and data loss prevention (DLP) tools.
A Chain Is Only as Strong as Its Weakest Terminal
The same story plays out at the checkout line, where every minute counts. Store associates, franchise partners, and delivery vendors use point of sale terminals, self checkout kiosks, and handheld scanners all day, and the payment, inventory, and logistics systems supporting them are interconnected. Those connections speed up the operations, but one weak link can topple the rest. A single compromised device or phished password can open a path to systems far beyond that store, because older network setups often grant broad access to anyone already inside.
Zero trust network access (ZTNA) closes that path. Every request, from a cashier’s terminal to a supplier’s portal, must prove its identity and earn only the access its role requires. A breach in one store stays in that store.
Access control alone does not keep the register open. Connectivity matters.
Research from Transaction Network Services found that the average cost of downtime is estimated to be approximately $9,000 per minute, with the impact of downtime for larger retailers up to $500,000 per hour. Retailers face the highest customer churn because when customers cannot complete a transaction, they are likely to abandon their purchases.
Checkout traffic needs a software-defined WAN (SD-WAN) that watches every available link and moves transactions to a backup connection the moment the primary fails. Carry that traffic on a private, high-performance network like Netskope NewEdge, with security inspection built in, and the register stays open even when the local internet service provider (ISP) goes down.
AI Agents Now Run Parts of Retail on Their Own
Retailers have long used software to answer customer questions, restock inventory, and update pricing. AI agents shift decision-making from people and static workflows to autonomous systems. An agent can assess a situation, make a decision, and take action across multiple systems without requiring human review at every step.
These advances represent competitive advantage for retailers: Salesforce’s Connected Shoppers Report found that 75 percent of retailers view AI agents as essential to compete. RH-ISAC, the retail and hospitality sector’s own threat intelligence body, released a 2026 CISO Benchmark Report built on more than 200 retail and hospitality CISOs. 74% of respondents mention data leakage through public AI tools as a key concern regarding AI security.
An AI agent can access and act on information from multiple applications simultaneously, while a human can typically only tackle a single transaction. When access rights exceed business requirements, a single misconfigured connection can expose customer records or supplier contracts across multiple systems within seconds..
It’s important to hold AI agents to the same standard as your human staff. Authenticate every call they make, manage their access, and log every request, so an agent built to reorder stock can read inventory data but has no route into payment systems or supplier contracts. Second, control supervision. Every instruction sent to an AI tool, and every answer it returns, passes through content moderation checks, and catches jailbreak attempts and poisoned data inputs.
Here’s a plan of action
Retailers must have a single view of a data estate that grows faster than people can manually track them. Every acquisition adds a brand with its own apps, vendors, and security posture. Every new AI tool moves and creates data faster than governance can follow. The plan of action is to protect customer data at a scale and speed no manual process can match.
Start with three questions.
- Do you know every location where customer data lives, and when and where copies are made of it?
- Would your registers stay open if a store lost its network connection or its provider failed?
- Do AI tools and agents operate inside guardrails you can inspect?
Netskope unified security policy unites data security, zero trust access, and AI governance, under one framework, where protection follows the data. Our solution brief, Modern Retail: Secure, Connected, AI-Ready, lays out the full architecture step by step. Get a copy and connect with our team to map our solutions to your business needs.
Retailers that treat data protection as a promise to the customer, rather than an operational expense, will own the next decade of retail.
