Incode Launches Agentic Identity to Verify AI Agents

Incode Technologies has launched Agentic Identity, a solution designed to verify and monitor autonomous AI agents. For fintech professionals, this addresses the critical security gap created by AI agents transacting and making decisions independently, ensuring that every automated action is linked to a verified human owner and remains within authorized parameters to prevent fraud.

What was announced

The launch of Agentic Identity introduces a framework for enterprises to verify, authorize, and continuously monitor the autonomous AI agents they interact with. The solution is designed to bring accountability to the "agentic web," where AI agents increasingly communicate and transact without direct human supervision. By linking each agent to a verified human owner through deepfake-resistant biometrics, the system ensures that every autonomous action remains traceable and reversible.

The product includes several core capabilities aimed at securing machine-to-machine environments. It features agent detection to provide visibility across applications and APIs, and uses secure credentialing to bind agents to human identities. A key component is the use of cryptographic identity tokens, which define the agent’s allowed scope of access based on explicit human consent. These tokens are programmable, allowing for specific expiration and revocation. Furthermore, the system employs continuous behavioral monitoring to flag anomalies or unusual decision-making patterns that might indicate a compromised agent.

Agentic Identity is built to integrate with existing infrastructure, including both human-facing web surfaces and agentic protocols like MCP. It leverages Incode’s existing identity suite, allowing customers to use a unified set of biometrics and fraud intelligence across mobile, web, and agent-based use cases. Pilot programs for the technology began in Q4 2025, focusing on integrating the solution with existing risk decisioning and identity verification stacks.

The companies involved

Incode Technologies is a global provider of identity security and fraud prevention solutions. The company specializes in deepfake-resistant biometrics and foundation AI models designed to establish digital trust. Based in San Francisco, Incode operates in the identity verification market, providing a platform that handles the entire identity lifecycle from onboarding to continuous authentication.

The company’s leadership includes Founder and CEO Ricardo Amper and Chief Product Officer Roman Karachinsky. Incode’s technology is used by enterprises to secure digital interactions across various sectors, including financial services and hospitality. The firm’s focus has increasingly shifted toward the risks posed by generative AI and autonomous systems, positioning its identity network as a defense against sophisticated AI-driven attacks. By providing a common identity layer that spans different platforms, Incode aims to standardize how humans and autonomous agents are verified in a digital-first economy.

What FF News has reported before

FF News has previously tracked Incode’s warnings regarding the evolution of AI-driven threats. In August 2026, the publication reported on Incode’s projection that Agentic Fraud to Exceed 90% of All Attacks by 2028 as Incode Warns of AI-Driven Surge. This report highlighted the company's focus on the rapid adoption of AI by bad actors and the necessity for new defensive frameworks.

Earlier coverage also detailed the company’s expansion into specific industry verticals. In 2022, FF News reported that Hudini and Incode Technologies Enter Strategic Partnership to Digitally Transform the Hospitality Experience. That partnership focused on using Incode’s biometric technology to streamline guest journeys, demonstrating the company’s long-standing strategy of integrating identity verification into automated service workflows.

What this means

The move toward "agentic identity" represents a fundamental shift in the fintech security landscape. As the industry moves from human-to-machine interactions to machine-to-machine transactions, traditional KYC and AML protocols are becoming insufficient. The burden of proof is shifting; it is no longer enough to know who a customer is, but rather which autonomous systems that customer has authorized to move money or access data on their behalf. This announcement puts pressure on traditional identity providers to move beyond static verification. It also raises significant questions for the sector regarding liability: if an agent operates outside its "scoped consent," the industry must determine whether the human owner, the agent developer, or the verifying platform carries the financial risk.