Hybrid Threat Central™ is Section 2’s AI-native financial crime intelligence platform. Built on the Hybrid Threat Finance™ methodology and powered by TENet™, TRACC™, and HTF Assist™.
It’s failing because the underlying methodology is wrong. For decades, AML systems
have monitored transactions in isolation — generating alert volumes that bury analysts
in false positives while criminals operate freely between the lines.
The result: a broken system where criminals remain in the dark,
exploiting the information gaps within and between financial institutions. You can’t find an
enemy you haven’t defined.
Annual global cost of compliance by financial institutions, with less than 1% of illicit funds recovered.
Estimated 2% success rate, a 98% failure rate in detecting financial crime through conventional transaction monitoring.
Rule-based systems and AI models produce overwhelming false positive rates, burying investigators in noise and missing the false negatives.
Hybrid Threat Central™ (HTC) sits alongside your existing transaction monitoring system, augmenting it with actor-centric intelligence your TMS was never built to produce.
HTC ingests your alert queue along with curated threat intelligence from Section 2’s analysts. It returns structured threat networks, targeting packages, and investigation-ready case candidates.
Threat networks, not isolated transactions, surface the actors hidden in your alerts.
Investigation-ready outputs targeting packages structured for SAR filing.
Built to integrate with, not replace, your transaction monitoring and case management solutions.
314(b) intelligence sharing, structured consortium intelligence built in.
TENet™ — the Threat Entity Network — is a continuously updated library of financial crime targeting packages built on the HTF™ methodology, covering all five stages of the financial crime lifecycle. TRACC™ identifies which packages your institution should prioritize; TENet™ deploys them in your existing TMS.
Decodes complex financial crime patterns.
Integrates with existing AML monitoring.
Delivered via API/SFTP.
Grounded in real-world investigative tradecraft.
TRACC™ — the Threat Risk Assessment Command Center — overlays dynamic HTC threat intelligence with your institution’s own risk profile, providing a controls map interface that identifies your financial crime risk exposure and informs which TENet™ Targeting Packages should be prioritized in your transaction monitoring program. Proactive, not post-mortem.
Overlays threat intelligence with firm-specific inherent risk factors.
AI-driven policy recommendations tied to your actual exposure.
Real-time monitoring of risks your institution faces by geography.
Regulator-ready insights not just dashboards.
Hybrid Threat Central™ is built on Google Cloud infrastructure, with Vertex AI powering the machine learning layer that operationalizes Section 2’s curated threat intelligence at scale — designed for the requirements of Tier-1 financial institutions.
The traditional AML model covers three stages: Placement, Layering, and Integration. HTF™ extends it with the two stages the industry has always ignored — Revenue Generation, where criminal proceeds originate, and Operational Sustainment, where threat actors reinvest to fund ongoing activity. Hybrid Threat Central™ operationalizes all five. TRACC™ and TENet™ apply them.
