Black Friday Can’t Wait Six Days: New Research on Retail AI Agent Security

Introduction

The biggest shopping weekend of the year leaves little room for disruption. A stalled checkout, broken payment integration, or delayed order can quickly turn into a lost sale. Yet new Akeyless research finds that retailers estimate it would take an average of 11 hours to detect a compromised or malicious AI agent, followed by another six days to contain and remediate the incident. By then, the entire Thanksgiving-to-Cyber-Monday rush could be over.

The findings come from a survey of 88 IT and security decision-makers at retail and wholesale organizations, conducted by MRA Research and commissioned by Akeyless. The research reveals that nearly all retailers (97%) already have AI agents deployed in some capacity, bringing new identities, credentials, and permissions into an environment where uninterrupted operations are essential.

As agents gain access to sensitive business and customer information, the stakes extend to consumer trust. According to Usercentrics’ 2026 State of Digital Trust report, 47% of consumers have already taken at least one action with direct revenue consequences over concerns about how their data was used in AI. For retailers, protecting that information is as important to maintaining customer relationships as keeping transactions and orders moving.

The risks extend beyond a compromised agent gaining unauthorized access. Investigating an incident, rotating credentials, and restoring legitimate access can create operational challenges of their own. During the holiday rush, those challenges can translate into transaction friction, delayed fulfillment, and frustrated customers.

For the full research findings and recommendations, download the 2026 State of AI Agent Identity Security in Retail report.

The Holiday Rush Runs on Access

AI agents can help retailers answer customer questions, check inventory, process orders, and coordinate fulfillment. But each task requires access to business systems, and the more responsibility agents take on, the more consequential their permissions become.

Akeyless research found that the vast majority of retailers ( 91%) say their AI agents can access sensitive or regulated data, including 44% who say agents have access to all company data. That level of access demands tight controls over which systems agents can reach and what they’re allowed to do.

What data can AI agents access within your organization?

The potential consequences extend well beyond a single application. Nearly nine in ten (88%) say one compromised credential could affect multiple major systems or applications. Yet more than half (52%) aren’t sure where all their AI agent secrets are stored.

This combination of extensive access and incomplete visibility creates a serious challenge. When something goes wrong, security teams need to identify the affected credentials, understand which systems depend on them, and contain the threat without interrupting legitimate operations.

Shortcuts That Outlast the Shopping Rush

Every connection between an AI agent and a business system needs a way to authenticate. How those credentials are issued, stored, and managed determines how long they remain useful and who can potentially access them.

Nearly three-quarters of retailers (73%) use API keys for AI agents or other machine identities, while 52% use static usernames and passwords. Only 48% report using temporary or short-lived credentials.

Which types of credentials or secrets are used by AI agents or other machine/workload identities in your organization?

Where those credentials end up creates additional risk. While some retailers are using dedicated secrets management and cloud-native services, less secure storage practices remain widespread. More than half of retailers (52%) store them in application code, 49% in configuration files, and 44% embed them directly in workflows. Credentials left in code or workflows can be inadvertently exposed, copied, or reused, especially when they carry broad permissions.

Where are the credentials or secrets used by AI agents or other machine/workload identities primarily stored?

Guardrails Bend Under Deadline Pressure

During the holiday rush, a failed integration or access issue can interrupt inventory updates, delay orders, or create friction at checkout. Developers face pressure to restore service quickly, and security controls that slow the fix can become tempting to bypass.

The research shows how widespread these workarounds already are: 83% of retailers admit developers bypass IAM controls to keep AI agents operational, with 51% reporting it happens on a regular basis.

Temporary credentials or elevated permissions granted during a holiday promotion may remain active long after the rush is over. If those credentials are compromised, revoking them without the right management controls in place could disrupt critical retail operations.

The Cracks Behind the Storefront

The consequences of insecure credential and access practices are already showing up in retail. Nearly two-thirds (63%) of retailers with deployed AI agents suspect those agents have accessed data beyond their intended scope. A similar proportion (64%) report having to revoke or rotate agent credentials due to suspected exposure.

Without centralized, automated credential management, urgently rotating credentials across multiple systems can be complex and time-consuming. During peak season, failures to update dependent applications or integrations could disrupt checkout or delay fulfillment. Postponing rotation, however, leaves potentially compromised credentials active.

The Holiday Rush Won’t Wait for a Security Fix

Retailers estimate it would take an average of 11 hours to detect a compromised or malicious AI agent, followed by another six days to fully contain and remediate the incident.

As Black Friday promotions and Cyber Monday orders pile up, security teams must investigate suspicious activity, replace credentials, and restore trusted connections while keeping transactions and orders moving.

The costs are substantial. Retailers estimate spending an average of $1.02 million annually investigating, remediating, or recovering from security issues involving AI agent access, credentials, or configurations. The challenge for retailers is to contain security threats quickly without letting the response itself interrupt sales or compromise the customer experience.

Autonomy vs. Accountability

Retailers must be able to demonstrate who or what accessed sensitive customer and payment data, what permissions they had, and whether their actions complied with policy. As AI agents take on more tasks across business systems, maintaining that accountability becomes more challenging.

Akeyless research found that 59% of retailers believe their organization’s AI agent usage could put them at risk of failing a compliance audit. As agents gain more autonomy, retailers need reliable records of their activities and controls that enforce limits on what they’re authorized to do.

The consequences can also reach customers directly. Talkdesk’s 2026 AI Holiday Shopping Survey found that 31% of U.S. retailers using AI reported it had taken an action on a customer’s account that it shouldn’t have, including incorrect refunds and order changes.

Building Confidence in Retail AI

Retailers and consumers are still finding their comfort level with autonomous AI. More than seven in ten retailers (71%) believe they could adopt AI agents faster if security risks weren’t holding them back. Meanwhile, Okta’s 2026 Customer Identity Trends Report found that only 6% of consumers globally want AI to make final decisions and act entirely on its own.

That balance will shift as AI capabilities improve and people gain more experience with them. This holiday season will offer an important test of where automation delivers value, where shoppers want more oversight, and how well retailers can protect the systems and transactions behind these experiences.

What Retailers Should Do Before the Next Peak

1. Focus visibility on critical access. Identify the agents and credentials that can reach payment, customer, pricing, and inventory systems, and prioritize the risks they introduce.
   Akeyless Identity & Secrets Intelligence discovers risky identities and credentials and connects findings directly to remediation.
2. Reduce reliance on standing credentials. Use short-lived, task-scoped access and keep credentials out of agent workflows wherever possible.
   Akeyless SecretlessAI® brokers access without exposing credentials to agents, while dynamic secrets reduce reliance on persistent credentials.
3. Enforce policies when agents act. Check sensitive requests against authorized permissions and business context, and maintain an audit trail.
   Akeyless Agentic Runtime Authority evaluates requests in real time and restricts or blocks actions that violate policy.
4. Design for continuity during disruption. Automate credential rotation and test recovery procedures across critical retail integrations before peak traffic hits.
   The Akeyless platform provides centralized credential management and lightweight gateways deployed close to business workloads to support secure, reliable access.

The retailers that get these controls right will be better positioned to expand AI adoption without sacrificing the customer experiences and operational reliability their businesses depend on.

Request a Demo to see how Akeyless can help you secure AI agent identities, credentials, and actions without disrupting retail operations.