Incode Technologies, a global leader in identity security and fraud prevention, has announced the launch of Agentic Identity, a new solution designed to enable enterprises to verify, authorize, and continuously monitor autonomous AI agents.
The solution aims to bring trust and accountability to the rapidly emerging agentic web by linking every agent to a verified human owner, enforcing explicit consent and scope controls, and tracking agent behavior in real time. The rapid evolution of AI means many agents are already transacting, communicating, and making independent decisions, often without direct human supervision. While this fosters innovation, it also introduces new risks, including impersonation by fraudsters, compromised legitimate agents, potential financial losses, compliance risks, and disputes.
Agentic Identity establishes a new layer of digital trust by leveraging Incode’s deepfake-resistant biometrics and foundation AI models. It identifies each agent’s human owner, verifies their permissions, and continuously analyzes behavior for signs of misuse. This ensures that enterprises can safely deploy AI agents, with every autonomous action remaining authorized, traceable, and reversible. The system integrates with both web surfaces used by humans and agents, as well as with agentic protocols like MCP.
Key capabilities of Agentic Identity include agent detection across applications, APIs, and machine-to-machine environments for full visibility. It offers verified human owner binding, linking AI agents to human identities via deepfake-resistant biometrics and secure credentialing, integrating with existing identity and biometric stacks. Scoped consent and tokenization provide a secure, cryptographic identity token defining the agent’s allowed access, tied to explicit human consent with programmable expiration and revocation. Continuous behavioral monitoring observes agent patterns, flagging anomalies, compromised agents, or unusual decision-making for automated responses or human intervention. The solution integrates with Incode’s existing identity suite, allowing a common set of fraud intelligence capabilities and identity network for verifying users and agents across various use cases.
Ricardo Amper, CEO and founder of Incode, highlighted the urgency of the issue. “Fraudsters are often the first to adopt new technology,” Amper stated. “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.”
The rise of AI agents represents a significant shift in identity management, blurring the line between human and machine activity and challenging traditional notions of accountability. Roman Karachinsky, Chief Product Officer at Incode, commented, “In an agentic world, security is not only about trusting humans. It’s about trusting the systems acting on their behalf. 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 this 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 aims to enable organizations to confidently scale the use of AI agents without losing oversight or exposing themselves to new forms of fraud. Enterprises interested in securing agent-first applications, agent lifecycle management, or autonomous workflows can request early access. Pilot programs for Agentic Identity began in Q4 2025, integrating with existing identity verification, risk decisioning, and fraud prevention infrastructure.
Incode Technologies is a global leader in identity verification and fraud prevention, serving major enterprises across financial services, telecommunications, travel, and public sector use cases. The company processes over four billion identity checks annually and is trusted by leading organizations, including eight of the top ten U.
S. banks and seven of the top eight telecom providers. Incode’s AI-native enterprise platform combines deepfake-resistant biometrics, real-time behavioral intelligence, and a continuously evolving fraud engine to detect and prevent emerging fraud patterns, enhance user experience, and ensure compliance.
