This topic covers AI‑aware identity and identity‑security platforms that combine authentication methods, credential management, fraud detection and compliance controls for web security gateways. No external articles were provided; this overview synthesizes the supplied tool descriptions and prevailing industry trends through late 2025: rising passwordless adoption, stronger multi‑factor strategies, increased regulatory scrutiny, and the need to secure AI agents’ programmatic access to identity systems. Key capabilities include centralized user and group management (Okta, Keycloak), audit log search and project management (Descope), secure 2FA code and credential handling for agents (Authenticator App · 2FA), and pre‑deployment secret detection in code and infrastructure (GitGuardian). These tools are exposed via Model Context Protocol (MCP) servers to allow AI assistants and automation to interact with identity APIs while preserving administrative boundaries and auditability. Practical concerns this comparison emphasizes: authentication modes (password, passwordless, FIDO2, OTP/MFA), session and API token governance, automated fraud signals and anomaly detection, log retention and auditability for compliance, and developer workflows that prevent credential leakage. For web security gateways, integration points include policy enforcement for authentication flows, token validation, and upstream secret scanning to block leaks before deployment. Evaluations should consider interoperability with existing IAM, the granularity of admin controls exposed via MCP, agent‑safe access patterns for 2FA and secrets, and evidence of audit/data export for regulatory requirements. The result is a pragmatic framework for choosing identity platforms that balance operational automation, developer productivity, and measurable security and compliance outcomes.