This topic covers AI-driven approaches to anti-phishing and digital wallet security at the intersection of autonomous commerce agents, enterprise assistants, and regulatory governance. By 2026, widespread adoption of AI agents that discover and execute purchases—combined with advanced social‑engineering attacks powered by large models—has expanded the attack surface for credential theft, wallet compromise and fraudulent transactions. Effective defenses require a blend of transaction-level controls, runtime monitoring, and enterprise policy governance. Key solution categories include: (1) commerce and transaction mediation (e.g., Visa Intelligent Commerce) that embed secure purchase flows, attestations and transaction-level risk checks for agents acting on behalf of users; (2) assistant and automation platforms (e.g., IBM watsonx Assistant) that can host detection models, orchestrate multi-step validation and automate incident responses; and (3) governance and validation platforms (e.g., Monitaur) that centralize policy, monitoring, model validation, vendor oversight and evidentiary logging required by regulated industries and insurers. Putting these components together enables layered defenses: agent-aware anti-phishing detection at UI and API layers, credential vaulting and attestation before wallet access, behavioral and transaction anomaly scoring, automated containment via assistants, and audit-ready governance for compliance and insurance. The combination is timely because autonomous agents increase both value-at-risk and regulatory scrutiny; insurers and enterprises are demanding stronger validation and vendor governance; and vendors are embedding security controls into commerce and assistant platforms. This topic focuses on pragmatic patterns—what each tool category contributes, how they work together, and what enterprises must govern to reduce phishing and wallet-fraud risk in an agentized economy.