This topic examines security-focused AI products that manage identity, detect fraud, and automate chargeback workflows by integrating credential management and web security gateways. Central to these solutions are Model Context Protocol (MCP) servers and gateways that let AI assistants interact programmatically and securely with identity providers, key managers, firewalls and smart‑wallet infrastructures. Key components include Keycloak MCP Server (natural‑language and programmatic Keycloak administration), Attestable MCP (MCP hosted in a Trusted Execution Environment with RA‑TLS attestation), Thales CipherTrust Manager MCP Server (secure key management and cryptographic operations), OPNSense MCP (firewall and gateway management), Openfort (smart wallet and auth integration) and Archestra.AI (centralized MCP registry, orchestration, and observability). Why this matters in late 2025: increasing e‑commerce volumes, more sophisticated account‑takeover and synthetic identity fraud, and growing regulatory expectations around data protection and cryptographic custody have driven demand for AI that can act on identity signals while preserving security controls. MCP-based connectors let AI systems automate routine remediation (lock accounts, rotate keys, flag transactions) while providing attestable execution boundaries and centralized governance. Trends to watch include use of TEEs and RA‑TLS for remote attestation, tighter coupling between AI assistants and Hardware Security Module-backed key managers, and platform‑level observability to audit AI actions and reduce false positives in chargeback handling. This overview helps security architects and product teams compare tool categories and integration patterns—credential management vs web‑gateway automation—so they can prioritize MCPs, attestation, and centralized governance when evaluating AI components for identity, fraud prevention and chargeback workflows.