Highlights
3 years in a row named a Leader First to achieve iBeta Level 3 on iOS and Android Introducing GovFaceMatch Privacy is the architecture
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Agentic Identity

The trust layer for the agentic world

Every AI agent gets a verified identity: bound to an accountable owner, tokenized, and continuously monitored. Autonomy never means anonymity.

Every

agent action traceable back to a verified human owner

One token

secure identity token links an agent's actions to its verified principal

Zero

PII exposed: high-assurance verification without sharing personal data

The problem

MCP standardized connection, not accountability

The Model Context Protocol standardizes how agents connect to tools, APIs, and data, but not who an agent is, what it's authorized to do, or who answers when it goes wrong. One unverified agent can spread attacks across millions of interactions in seconds.

0%

of enterprise software will include agentic AI by 2028, up from under 1% in 2024

Gartner, 2024

0%

of enterprise breaches will be traced to AI agent abuse by 2028

Gartner, 2025

0%

of day-to-day work decisions will be made autonomously by agentic AI by 2028

Gartner, 2024

How it works

Four capabilities between an agent and a blind spot

Incode extends the infrastructure that already verifies people and organizations at global scale to the agents acting on their behalf, so every autonomous action originates from a trusted, accountable source.

Use cases

Where agents need identity first

Agentic payments

An agent initiating a transaction must carry proof of who authorized it and under what authority.

Customer-facing agents

Agents acting on customer accounts need a verified principal before touching sensitive data.

Regulated industries

Healthcare records, financial data, and legal workflows demand a traceable chain of accountability.

Enterprise copilots

Internal agents moving through private systems can hallucinate their way into data they were never authorized to see.

FAQ

Frequently asked questions

The questions buyers ask most about Agentic Identity, answered straight.

Still have questions? Talk to an expert
What is agentic identity?

Agentic identity is the verified digital identity of an autonomous AI agent: confirming who operates it, what it's authorized to do, and ensuring its actions are traceable and accountable across enterprise systems.

What is Know Your Agent (KYA)?

Know Your Agent (KYA) is a risk-based framework for establishing and maintaining trust in AI agents: defining their identity, binding them to responsible human or organizational principals, and enforcing policy and auditability across all autonomous actions.

Why aren't OAuth, SAML, and API keys enough?

Those credentials confirm that something has access, not that the right agent is acting under the right authority. AI agents are ephemeral, multi-step, and context-dependent in ways that static credentials cannot govern.

How does Incode's agentic identity solution work?

Incode ties every AI agent's actions to a verified human principal using high-assurance identity verification and liveness detection. Each agent receives a secure token linked to its verified owner, so every autonomous action carries a clear, auditable chain of accountability without slowing the agent's workflow.

Which industries need agentic identity verification?

Any industry deploying autonomous AI agents in workflows involving sensitive data, financial transactions, healthcare records, or regulated processes, including fintech, enterprise SaaS, healthcare, and legal services.

What's next

Give every agent an identity you can trust