AI is reshaping digital commerce. Retailers and platforms are deploying personalized shopping assistants, recommendation engines, and dynamic pricing models to boost conversions and customer satisfaction. But the same applications create critical new risks at the point of sale:
- Leakage of customer personally identifiable information (PII) or payment data in AI prompts and outputs
- Manipulation of recommendations, promotions, or pricing logic through prompt injection
- Biased or harmful outputs damaging customer trust and brand reputation
- Limited visibility into how AI drives purchase decisions, complicating compliance and auditability
Our AI runtime security solutions secure the Digital Commerce vertical with a three-pronged approach: Red Team to validate, Guardrails to protect, and inbuilt Observability to govern AI deployments.
Red Team: Validate Shopping Applications Before Go-Live
F5 AI Red Team, previously named Inference Red-Team, stress-tests AI-powered commerce applications before they reach customers, surfacing hidden vulnerabilities.
- Agentic Resistance: Multi-turn attacks that mimic adversaries attempting to exploit shopping assistants or bypass promotion logic.
- Signature & Operational Attacks: 80,000+ continuously updated exploits uncover vulnerabilities in recommendation engines, checkout workflows, and payment integrations.
- Commerce-Specific Testing: Validates how AI systems handle sensitive customer interactions like financial data entry or cross-border transactions.
Outcome for Digital Commerce Teams: AI applications are hardened against misuse, protecting revenue streams and customer trust.
Once commerce applications go live, AI Guardrails, previously named Inference Defend, secures every AI interaction in real time.
- Stop Data Leakage: Blocks exposure of payment information, shipping addresses, and loyalty data.
- Prevent Exploits: Detects and blocks prompt injections, jailbreaks, or manipulations of recommendation algorithms.
- Tailor Security to Commerce Flows: Adaptive controls adjust to business rules around promotions, product suggestions, and fraud prevention.
Outcome for Digital Commerce Teams: Safe, reliable, and compliant customer interactions at scale — without slowing the checkout experience.
Observability: Full Oversight of Commerce Interactions
For digital commerce, visibility and traceability are critical to compliance, fraud prevention, and customer confidence. Our inbuilt observability features provide enterprise-wide monitoring of AI-driven shopping experiences.
- Global Dashboards: A centralized view of AI usage and security events to enable compliance across the entire enterprise.
- Audit-Ready Logs: Records every AI decision to support fraud investigations, compliance audits, and customer dispute resolution.
- Policy Enforcement: Flags risky or non-compliant outputs in customer-facing applications before they escalate into financial or reputational damage.
Outcome for Digital Commerce Teams: Trusted oversight over AI systems that ensures both compliance and business resilience.
AI runtime security for Digital Commerce
With Red Team, Guardrails, and inbuilt observability, digital commerce leaders gain:
- Brand & Customer Trust: Protects against harmful or biased AI outputs that could erode confidence.
- Regulatory Readiness: Simplifies compliance with consumer protection, PCI DSS, and data privacy laws.
- Revenue Protection: Avoids fraud, data breaches, and costly downtime during peak shopping events.
- Faster Innovation: Security accelerates deployment of new commerce AI features — from recommendation engines to personalized shopping assistants — without adding risk.
The Bottom Line
Our suite of AI runtime security solutions secures the Digital Commerce vertical by ensuring AI-powered shopping assistants, recommendation engines, and transaction workflows are validated, protected, and observable — enabling safe growth and trusted customer experiences.
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