Blog

Gateway proxy or standards-based token exchange? The two credible models for authorizing AI agents at runtime have complementary strengths, and no enterprise environment is uniform enough for one to cover everything. Why the right question is whether your platform supports both.

C1's Field CISO on the seven failure patterns that kill enterprise AI programs — shadow tool sprawl, SSO mistaken for authorization, shared service accounts, policy nobody reads, and the review board reborn as an AI Council — and how to convert a gating function into an enabling one.

A recap of C1 Launch Week: shadow AI discovery, Agentic Vault, agent runtime governance, and agentic security and intelligence. Four launches, one control plane for governing every AI agent, secret, and non-human identity.

C1's agentic security and intelligence detects identity risk across people, service accounts, workloads, and AI agents, then routes every finding through governed remediation or the tools your team already uses.

C1's agent runtime governance routes every AI agent tool call through one governed gateway, scopes each agent to the tools its job needs, and scores every call for risk before it runs so you can block, hold, or redact it.

C1's Agentic Vault secures the credentials your people, agents, and service accounts depend on, governing every secret through the same request, approval, and audit path as any other access, with post-quantum protection from day one.

C1's shadow AI discovery helps security teams find unsanctioned AI tools, AI agents, MCP servers, and exposed credentials across cloud and endpoints, then assign ownership and govern them.

C1 Field CISO Kevin Paige and SACR analyst Paul Webber on why routing agent traffic through an MCP gateway isn't the same as governing what agents are entitled to do — and what good agent governance actually requires.

AI initiatives don't stall because the models fall short—they stall at the access layer. Here's why governed AI access lets productivity and security win together.