Hybrid Threat Finance™ is the study of how specific threat networks use money and financial products in their operations. We study, document, and translate criminal business and operational models into targeting packages — creating reference data that helps detection systems identify what illicit finance looks like in practice.
We look at not only how financial crime is accomplished — but who is behind it. This shift from transaction-centric to actor-centric investigation is the foundational difference between HTF™ and conventional AML doctrine.
Read AML InsightsCartels, state actors, and cybercriminals are no longer just laundering money — they’re weaponizing our financial systems. As bad actors blend financial tactics with cyberattacks, disinformation, and trafficking networks, conventional detection leaves dangerous gaps.
Identify patterns that connect disparate risk indicators across customers and transactions — linking activity that appears unrelated in isolation but reveals a coherent criminal operation when viewed through the HTF™ lens.
HTF™ continuously updates with new criminal typologies, behavioral patterns, and threat entity data. Your detection evolves dynamically — empowering your team to keep pace with adversaries rather than perpetually catching up to them.
HTF™ was built to target the intersection of financial crime and national security — cartels, cybercriminals, and adversarial nations abusing financial systems for strategic advantage. Detection that takes the full threat seriously.
Where conventional AML models stop at three stages — Placement, Layering, Integration — HTF™ maps five. This expanded framework captures the full operational arc of a criminal financial enterprise, from the first dollar earned to the infrastructure that keeps it running.
Rather than replacing your existing detection infrastructure, HTF™ acts as the intelligence layer that makes it dramatically more effective. TENet™ injects dynamic, human-intelligence-derived data directly into your existing AML analytics and machine learning engines.
The result: your rules engines and ML models stop generating noise from patterns they were never trained to see — and start producing case-quality signals grounded in how criminal enterprises actually operate.
Explore the Platform →By using the HTF™ investigation methodology and surfacing case-quality alerts, your team gains a clear understanding of the individuals involved and the nature of the potential crime — not just a transaction flag without context.
Through a structured, intelligence-led process and feedback loops, your FIU begins to see the true impact of its work — and builds an increasingly sophisticated picture of the threat networks operating in your institution’s risk environment.
Detect trafficking by linking payment patterns, recruitment activity, and travel data through HTF™ behavioral typologies.
Trace revenue generation through obfuscation and storage to identify the full financial infrastructure of trafficking organizations.
Surface the organizational networks behind sanctions evasion — shell companies, front entities, and their beneficial owners.
Identify state-sponsored laundering, kleptocracy networks, and adversarial nations weaponizing financial infrastructure.
HTF™ certification gives your investigators and compliance team the conceptual foundation to work effectively with HTC — understanding not just how to use the tools, but why the methodology produces better intelligence than conventional AML approaches.
A 30-minute demo will show you how the HTF™ methodology translates into detection intelligence — and what it would produce against your alert queue.
