BioCatch AiRE™ detects AI agents interacting with digital banking platforms in real time
NEW YORK (Nov. 10, 2026) — BioCatch, which prevents fraud, scams, and financial crime by recognizing patterns in human behavior, today launched BioCatch AiRE™ (Agentic AI Risk Essentials), the company’s new agentic AI detection capability. This new capability gives financial institutions around the world a way to reliably detect AI agents acting on behalf of accountholders or at the behest of bad actors before any money moves. Financial institutions utilizing BioCatch’s agentic AI detection will also receive indicators of potentially risky agentic activity.
“Whether banks plan to block all agents, grant access to only certain, pre-approved agents, or open the floodgates and allow any agent to access their platforms, those institutions must be able to first reliably detect whether the entity controlling a session is a human or an agent and if the intent of that entity is genuine or malicious,” BioCatch Chief Product Officer Ayelet Eliezer said. “Artificial intelligence capabilities for consumers, institutions, and bad actors alike are evolving rapidly. At BioCatch, we continue to innovate every day and remain committed to working alongside our customers to confidently and securely prepare for an agentic future.”
A recent American Banker survey finds 80% of consumers believe their bank should be able to detect whether it’s dealing with a customer or the customer’s agent. BioCatch’s 2026 The future of digital trust survey found 80% of the 1,440 global banking leaders surveyed said their institution had already encountered attacks utilizing agentic AI, while 84% of respondents believe agents could be the industry’s largest exploitable vulnerability in the next year.
BioCatch offers this new capability through existing customer integrations. Continuous session monitoring allows BioCatch to both detect agents and assess their behavior, helping banks build policies that define whether the agent can be trusted.
BioCatch AiRE signals surface behavioral anomalies, unusual interaction patterns like synthetic inputs, the browser permission profile, agent infrastructure, and agent declaration. Detection will also cover cloud-based agents like Muse.
In BioCatch customer sessions, close to half of all detected agentic interactions were seen at account opening. Other instances were spread between logins, account management, and transactions, including electronic fund transfers, wires, and faster payments.
To learn more about how the industry is preparing for agentic AI, click here to register for a Nov. 12 webinar from BioCatch and Datos Insights analysts.
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About BioCatch:
BioCatch prevents fraud and financial crime by recognizing patterns in human behavior, continuously collecting more than 3,000 anonymized data points — keystroke and mouse activity, touch screen behavior, AI agent usage, jailbroken devices, and more — as people interact with their digital banking platforms. With these inputs, BioCatch's AI and machine-learning models continuously assess both user intent and any signs of coercion or manipulation throughout every millisecond of every digital banking session, allowing banks to distinguish the criminal from the legitimate in real time. Insights drawn from across the entire network of BioCatch institutions further amplify the power and accuracy of that real-time risk-scoring. As of the end of Q3 2026, more than 400 financial institutions deploy BioCatch solutions, analyzing 20 billion user sessions per month and protecting more than 760 million users on more than 1.8 billion devices around the world from fraud and financial crime.
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PR contact:
Mac King
BioCatch director of global marketing communications
Mac.King@BioCatch.com
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