AI agent driven account takeover is designed to look like a series of unrelated sessions rather than a single, persistent threat. The institutions managing this risk are the ones who treat detection as a continuous assessment across sessions, not a single decision made at the point of login.
The challenge
AI agents executing account takeover do not operate the way human attackers do. When an attempt is blocked, the agent does not walk away, it modifies its approach and returns through the same flow with a changed method. Each attempt looks different from the last, leaving fraud controls built to detect known patterns within a single interaction with no visibility into the iteration happening across sessions. The result is an adversary that can systematically probe for gaps and persist until it finds a way through.


How we solve for it
BioCatch first establishes that a session is agent-driven, regardless of how its behavior varies. The next question is whether that agent can be trusted: its intent, its level of autonomy, and whether its behavior matches what a legitimate agent on this account should look like. Profiling agent behavior across sessions builds a baseline for how agent tools typically operate, so that scope creep, escalation toward higher-risk actions, or autonomy beyond its stated purpose stands out from legitimate use.
Agent-driven sessions are identified regardless of evasion, and when agents are permitted, their intent and trustworthiness are assessed continuously.
How intent reveals itself
Execution framework fingerprint
These patterns come from the execution framework, not the instructions behind it, so they persist across attempts regardless of how the agent's behavior is varied.
Interaction
mode
A session that operates with more independence than this account normally shows points to an unauthorized agent, not the account holder.
Behavioral trajectory across sessions
An account accessed repeatedly, with each visit reaching further into higher-risk functions, reveals intent that no single session would show.
Synthesized intelligence:
Unified Collection. Continuous Telemetry. Behavioral Sequencing. Predictive Analysis. Real-time Decisioning.
No vendor has ever deployed behavioral intelligence at the scale we've proven possible. We continuously analyze more user sessions (16 billion and counting), collect more signals (3,000 plus), deliver more trusted insights, and protect more digital banking customers (more than half a billion) than any other behavior-centric digital-fraud-prevention solution provider. And we do it in the context of their device, the applications they use, and their transactional tendencies to deliver a trusted and accurate signal for a frictionless and secure customer experience.




