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Everything in one place
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Monitor performance and trends
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APIs and SDKs
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Agentic identity
Securely connect AI agents to verified human owners for accountable, compliant, and trusted interactions
The problem
As AI agents become your biggest user class, without the tools to verify agent identity and ownership, your business is at risk.
Unverified AI agents can pose as legitimate services, manipulate transactions, and exploit users
at scale.
Without identity verification, hackers can hijack agents to access sensitive data, trigger unauthorized actions, or move freely inside private systems.
One unverified agent can replicate itself or spread attacks across millions of interactions in seconds.
Without identity verification, there’s no clear line of accountability when something goes wrong.
Incode’s solution
Binding AI agents to verified human owners turns risky autonomous actions
into trusted, accountable, and compliant interactions.
Advanced liveness detection and face matching ensure every AI agent is anchored to a real, verified human, blocking deepfakes and synthetic identities.
Incode issues a secure identity token to the agent once ownership is verified, which then links all subsequent actions back to the verified owner.
Agent activity can be detected
on both human-oriented surfaces (web/mobile apps)
and agent-oriented surfaces
(machine-to-machine protocols).
Incode continuously monitors AI agent activity patterns to detect anomalies or deviations from expected behavior, preventing misuse before it escalates.
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Demo
explore how Agentic Identities keep autonomous actions safe and accountable.
Technology
Our five-step process that builds trust, accountability, and compliance into every AI agent.
Incode’s platform recognizes when a request comes from an AI agent instead of a human.
The human owner associated with the agent completes identity verification with ID document scanning, liveness detection, and face match using deepfake-resistant technology.
A cryptographically signed token links the agent to the verified human.
Incode’s system enforces dynamic policies based on risk and monitors behavior for anomalies with conditional logic routing.
All agent actions are logged with provenance and can be audited for compliance, addressing identity-management gaps in current IAM tools.
Get in touch
Build trust with AI Agents
Solve agentic identity challenges with secure solutions
and propel customer trust.
Contact Us