Attackers inside a bank move quietly toward payment paths and privileged access, and most alerts arrive too late to matter. AMazeTM turns their reconnaissance into a confirmed signal, across core systems, customer data, and third-party access.
Financial services organizations depend on complex identity systems, customer-facing applications, payment workflows, vendor access, and high-value internal platforms.
Adversaries often reuse stolen credentials and trusted paths first, then move laterally toward systems where fraud, data exposure, or service disruption can create real loss.
AMazeTM separates real adversary intent from routine activity. Synthetic Cognitive Agents (SCAs) and Neural Echoes mirror accounts, payment paths, and sensitive data that no legitimate user should touch, so any interaction is a confirmed adversary, correlated onto one unified attack chain.
AMazeTM surrounds the identity, payment, and access paths adversaries investigate with synthetic, mirrored environments that produce high-fidelity, zero-false-positive signals.
SCAs mirror credentials, privileged-looking accounts, and authentication paths around financial systems, so suspicious use surfaces as a confirmed adversary.
A zero-production-touch Mirrored Workload recreates transaction workflows and sensitive service paths, generating high-fidelity signals without touching real payment operations.
Detect misuse of vendor and partner routes before adversaries reach high-value internal systems or customer data.
A live view of traffic hitting your customer-facing perimeter — protocols probed, the source IPs behind them, and the MITRE ATT&CK techniques adversaries are actually using against financial systems, correlated in one place.
See how proactive cyber resilience helps financial teams detect adversary intent before risk becomes loss.
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