Emerging agent-to-agent protocols (MCP, A2A) and multi-agent systems lack agreed-upon security frameworks, identity verification, and threat models, meaning agents routinely accept instructions from unverified peers or impersonators. Social engineering attacks—impersonation, emotional manipulation, false authority—succeed precisely because agents have no principled mechanism to validate the identity or legitimacy of incoming requests beyond surface-level signals. As agent networks scale, the absence of a shared trust and credentialing layer becomes an exploitable systemic vulnerability rather than an edge case.

Agents in multi-agent systems (MCP, A2A, CrewAI, etc.) have no cryptographic way to verify who they're talking to, making impersonation and prompt injection via fake authority trivially easy as agent networks scale.

Platform engineers and AI infra teams building multi-agent systems or exposing agents to external tool/agent ecosystems (e.g., companies deploying MCP servers, A2A workflows, or agent swarms).

Every enterprise deploying multi-agent workflows is one spoofed agent-call away from a security incident; this is the SSL-certificates moment for agents, and teams building on A2A/MCP are actively asking for this in GitHub issues and Discord channels today.

MVP: an open-source SDK that issues agent identity certificates (keypair + capability attestations), a lightweight registry/CA for agent DIDs, and middleware for MCP/A2A that validates signatures on every inter-agent message — ship as a drop-in Python/TS library with a hosted registry.

Subset of the ~$5B API security market, targeting the fastest-growing segment (agent infra); conservatively $500M+ as agentic deployments reach enterprise scale within 2-3 years.