This topic examines AI‑driven KYC/fraud bypass and anti‑spoofing measures in light of the Humanity Protocol experiment, which illustrated how agentic AI, commoditized generative models, and decentralized identity tooling can automate creation and abuse of synthetic identities. As of 2026, that combination is a timely challenge: multi‑agent orchestration and low‑code/no‑code AI platforms lower the bar for large‑scale spoofing attempts, while regulators demand stronger AML/KYC controls and vendor governance. Practical defenses combine three layers. First, infrastructure‑level visibility and telemetry are essential: tools like Xilos advertise comprehensive visibility into agent activity and connected services, helping detect anomalous orchestration patterns that precede mass account creation or automated fraud. Second, policy, monitoring and validation platforms are needed for regulated use cases—Monitaur represents insurance‑grade governance for continuous policy enforcement, vendor risk and audit trails. Third, controls at the application/interaction layer matter: enterprise agent platforms (IBM watsonx Assistant, Kore.ai, StackAI) and contact‑center GenAI platforms (Observe.AI) must embed anti‑spoofing, real‑time voice and content authenticity checks, and robust session validation; meanwhile, proliferating no‑code marketplaces (Anakin.ai) increase attacker tooling but can also be repurposed for defensive automation. The net lesson: effective KYC and anti‑spoofing in 2026 requires end‑to‑end observability, continuous validation of identity signals, vendor and policy governance, and agent‑level controls. Organizations should prioritize integrated monitoring, anti‑spoofing detectors, and governance platforms to meet regulatory expectations and reduce the operational risk posed by agentic AI.