Dynamic pricing, recommendations, shopping assistants and in-store analytics all use customer data at scale. Asenion turns payment security, privacy, biometric and consumer protection rules into operational controls your CISO, privacy and e-commerce teams can verify, monitor and evidence.
Schedule a Call30 minutes with our AI compliance team.
Few of these were written only for AI. All of them apply to it.
All future-dated requirements have been mandatory since March 31, 2025, including targeted risk analyses and payment page script controls.
For AI: Keep cardholder data out of prompts, logs and training sets, and bring AI tools that touch the cardholder data environment into scope.
The FTC's authority over unfair or deceptive practices, applied to AI in actions such as its facial recognition order against Rite Aid and Operation AI Comply.
For AI: AI claims must be substantiated, and deploying AI that harms consumers without reasonable safeguards can be an unfair practice.
California's rules on automated decision-making technology, risk assessments and cybersecurity audits, finalized in 2025 with phased compliance dates.
For AI: Pre-use notices, opt-outs and access rights for ADMT in significant decisions, plus risk assessments for profiling and training ADMT.
Requires notice and written consent before collecting biometric identifiers, with a private right of action.
For AI: Facial recognition for loss prevention, virtual try-on and voice ID need consent flows, retention schedules and vendor contracts.
Prohibits manipulative AI and certain biometric uses, and requires disclosure for chatbots and AI-generated content from August 2026.
For AI: Label AI-generated product content, disclose shopping assistants and avoid manipulative personalization.
The AI use cases we see most often, and the requirements that follow them.
Pricing algorithms draw consumer protection and antitrust scrutiny, and personalized pricing based on personal data triggers privacy obligations.
Profiling for recommendations and targeted offers needs notice, opt-outs and data minimization.
Assistants must disclose AI, give accurate product and return information, and never capture card data in chat.
Facial recognition and video analytics require consent, accuracy testing and bias controls.
One set of controls, applied from build through runtime, with evidence your QSA, auditors and regulators can rely on.
Start from Policy Packs for PCI DSS, the FTC Act, CCPA ADMT, BIPA and the EU AI Act, combined with your own AI and privacy policies.
Test assistants and models for card data leakage, inaccurate claims, bias, prompt injection and manipulative outputs, with every result mapped back to a control.
Apply context-aware controls to AI agents in production and capture tamper-resistant evidence of what happened, which controls applied and whether they worked.
In 30 minutes we'll map your AI use cases to the rules above, show the controls that apply, and point out gaps before a regulator or plaintiff does.
Schedule a CallNo preparation needed.
