
Agentic Authentication and Verifiable Intent: Trusting AI Transactions
Design authentication for AI-assisted transactions by separating customer identity, agent identity, delegated authority, purchase intent and payment.
Practical guidance for buyers, operators and product teams. 8 articles in this topic.

Design authentication for AI-assisted transactions by separating customer identity, agent identity, delegated authority, purchase intent and payment.

Plan digital identity wallet integration with selective disclosure, verifier trust, privacy, credential revocation, secure APIs and accessible fallbacks.

Learn when AI agents need MicroVM isolation, how persistent state changes the threat model and which controls belong around untrusted code execution.

Find shadow AI agents before they expose data or automate the wrong decisions, then govern access and actions without blocking useful experimentation.

Prepare for synthetic impersonation with monitoring, verification channels, evidence handling, takedown workflows and stakeholder communication.

Implement passkeys with account recovery, device coverage, enrolment, fallback, support and measurable migration from passwords.

Prepare for post-quantum migration by inventorying cryptography, prioritising long-lived data, testing standards and demanding supplier plans.

Ten practical controls that reduce the most common security risks across accounts, devices, websites and suppliers.
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