Industries

Agentic AI Security for Retail & eCommerce

Retail AI agents run shopping assistants, process returns, set prices, and manage fulfillment across revenue-critical workflows your customers interact with every day.

Free Risk Assessment

Problem

Retail AI agents now answer customers, recommend products, guide checkout, and handle returns. If they pull the wrong context or get manipulated, they can hallucinate, break policy, leak data, or enable fraud in real time.

Solution

Straiker protects retail and eCommerce AI agents in real time by detecting manipulation, validating responses and actions against business rules, and stopping policy violations, data leaks, and fraud before they impact customers.

WHY RETAIL & eCOMMERCE NEEDS AGENTIC AI SECURITY

AI Fraud on the rise

69% of retailers experienced AI-enabled fraud in the past year; 87% expect it to keep rising

Deloitte, Dec 2025

AI Phishing

60% of organizations were hit by AI-generated phishing emails/chats in the past year

KPMG Canada, Feb 2026

46.74 Billion market

The agentic AI in retail and ecommerce market is projected at USD 46.74 billion in 2025.

Expert Market Research, 2026

Critical security gaps in  Retail & ECommerce

AI agents operate inside revenue-critical workflows

Discounts, refunds, pricing, customer interactions -- AI agents control all of it. A prompt injection that triggers an unauthorized refund is direct margin loss. Traditional tools monitor traffic. They don't see agent decisions.

You can't inventory third-party AI risk

Retail brands run recommendation engines, support agents, marketing automation, and third-party tools in parallel. Most teams can't tell you how many agents are running or what customer data they touch.

Automation removes the friction attackers relied on

AI agents can process refunds, apply discounts, handle support cases, and resolve customer requests instantly. That speed improves the customer experience, but it also gives attackers a faster way to test policies, exploit edge cases, and repeat successful abuse paths before a human ever reviews them.

Key Threats

Customer PII and payment data leakage

Checkout manipulation and discount abuse 

AI-powered returns and refund fraud

Dynamic pricing manipulation

Goal hijacking in fulfillment and returns workflows

Prompt injection in eCommerce chatbots and shopping assistants

Supply chain attacks in eCommerce integrations 

Straiker for Retail & Ecommerce

Straiker secures AI-powered shopping assistants, product recommendation engines, customer support agents, dynamic pricing engines, returns and refund systems, marketing automation, and inventory and fulfillment workflows.

Benefit 1

CATCH THREATS AT INPUT, DECISION, AND OUTPUT

Discover AI provides complete AI inventory across retail and eCommerce systems.
Block prompt injection in shopping and support bots before malicious instructions execute
Detect checkout manipulation, discount abuse, and returns fraud in real time.
Prevent leakage of customer PII, order history, and payment data.

Benefit 2

DEFINE THE BOUNDARIES AGENTS CAN'T CROSS

Shopping assistants access only session-scoped data -- not full customer databases.
Pricing engines operate within approved discount and margin limits.
Returns and refund systems enforce approval thresholds and fraud controls.
Marketing agents operate within consent rules and  campaign parameters.

Benefit 3

FULL AUDIT TRAILS FOR EVERY DECISION

See which model acted, what data it accessed, which tools it called.
Timestamped logs mapped to CCPA, GDPR, and PCI requirements.
Audit-ready evidence for disputes, fraud investigations, and compliance reviews.
Block risky MCP servers and fix misconfigurations or unauthorized data access.

Benefit 4

RED TEAM BEFORE LAUNCH. MONITOR AFTER.

Ascend AI tests RAG pipelines, MCP integrations, prompt templates, and tool configs pre-production.
Adversarial testing identifies prompt injection, tool misuse, and data leakage risks before they hit customers.
Every CI/CD update gets tested before release.
Defend AI monitors for goal hijacking and emerging attack patterns at runtime.

faq

What AI agents do retail and eCommerce brands need to secure, and what are the risks?

Retail and eCommerce brands have agents handling everything from shopping assistance and customer support to dynamic pricing, fulfillment, and returns. Every one of them takes action, calls tools, and handles customer data which makes every one of them a target. Attacks on these agents aren't just security incidents. They're direct hits to revenue and margin.

How does Straiker stop returns and refund abuse?

By enforcing approval thresholds and fraud controls at the agent decision layer, before the refund executes. Straiker validates every action against defined business rules in real time, not after the loss has already happened.

Chatbot security vs. AI agent security and what's the difference?

Chatbots generate responses. Retail AI agents take action issuing refunds, applying discounts, updating pricing, triggering fulfillment. A manipulated chatbot gives a bad answer. A manipulated agent makes an unauthorized decision that hits your bottom line. Agentic security isn't content moderation. It's validating every decision your agents make before they execute it.

How does Straiker support compliance for retail brands?

AI inventory, runtime data access enforcement, PII leakage prevention, and full decision logs, giving retail and eCommerce brands defensible compliance posture under CCPA, GDPR, and PCI.