Incode announced the launch of Agentic Identity, a breakthrough solution that enables enterprises to verify, authorize, and continuously monitor autonomous AI agents that they interact with. By linking every agent to a verified human owner, enforcing explicit consent and scope controls, and tracking agent behavior in real time, Agentic Identity brings trust and accountability to the rapidly emerging agentic web.
The Next Identity Challenge Has Arrived
Artificial Intelligence is driving significant productivity and convenience for consumers, and AI agents are gaining widespread adoption as autonomous assistants that will eventually automate a large variety of tasks on behalf of their users, managing finances, healthcare, negotiating contracts, booking travel, and so on.
These systems are beginning to transact, communicate, and make decisions at machine speed, often without direct human supervision. Before long, every consumer-facing company will see more interactions from their users’ agents than from the users themselves.
Enabling agentic use, however, also introduces new risks. Fraudsters can impersonate agents, and legitimate agents can become compromised or confused, leading to potential losses, compliance risk, and damaging disputes.
Incode Agentic Identity establishes a new layer of digital trust.
“Fraudsters are often the first to adopt new technology,” said Ricardo Amper, CEO & Founder of Incode. “We are seeing AI-generated agents that convincingly mimic human behavior, using deepfakes and social engineering to attack at a scale and speed no human could match. The industry urgently needs a way to verify and monitor these agents, and we are racing to close that gap before it leads to the next major breach.”
As autonomous systems become more capable, the gap between innovation and accountability is widening. Agentic Identity closes that gap.
Introducing Incode Agentic Identity
Incode Agentic Identity establishes a new layer of digital trust by using Incode’s deepfake-resistant biometrics and foundation AI models for identity to identify each agent’s human owner, verify their permissions scope, and continuously analyze behavior for signs of misuse.
Incode Agentic Identity enables enterprises to deploy AI agents safely, ensuring every autonomous action remains authorized, traceable, and reversible, and integrates with both the web surfaces that humans and agents both use, as well as with MCP and other agentic protocols.
Key Capabilities of Incode Agentic Identity
- Agent detection. Identifies autonomous agents across applications, APIs, and machine-to-machine environments, providing full visibility into agent activity.
- Verified human owner binding. Links each AI agent to a verified human identity through deepfake-resistant biometrics and secure credentialing, ensuring accountability for every action, and integrating into the customer’s existing identity and biometric stacks.
- Scoped consent and tokenization. Issues a secure, cryptographic identity token that defines the agent’s allowed scope of access. Each token is tied to explicit human consent, with programmable expiration and revocation.
- Continuous behavioral monitoring. Observes agent behavior patterns and flags anomalies, compromised agents, or unusual decision-making, allowing automated responses or human intervention.
- Integration. Agentic Identity integrates with Incode’s existing identity suite, enabling customers to use the same biometrics and data to verify users on the web, mobile, and in agentic use cases, leveraging a common set of fraud intelligence capabilities and identity network.
Together, these capabilities bring accountability to the agentic future at scale.
Incode Agentic Identity enables enterprises to deploy AI agents safely.
Why This Matters Now
The rise of AI agents represents the largest identity shift since the advent of online authentication. The line between human and machine activity is blurring, and with it, the concept of accountability.
“In an agentic world, security is not only about trusting humans. It’s about trusting the systems acting on their behalf,” said Roman Karachinsky, Chief Product Officer at Incode. “Agentic Identity allows enterprises to meet the growing consumer demand for agentic use cases and allow agents to use their services without compromising on fraud prevention or compliance. We think will enable enterprises to lean into the opportunity and accelerate the safe adoption of AI. ”
By introducing accountability, traceability, and control into autonomous systems, Incode is enabling a future where organizations can confidently scale the use of AI agents without losing oversight or exposing themselves to new forms of fraud.
Availability and Demos
Enterprises interested in securing agent-first applications, agent lifecycle management, or autonomous workflows can request early access. Pilot programs began in Q4 2025, integrating Agentic Identity with existing identity verification, risk decisioning, and fraud prevention infrastructure.
Incode was named a Leader in the 2025 Gartner® Magic Quadrant™ for Identity Verification. Download the report.
