Best-in-class communication surveillance
Quantum is the best-in-class communication surveillance system on the market — the fewest, highest-quality alerts, the broadest channel and language coverage, and the scale to monitor an entire workforce. It surveils voice and text across 50+ languages, and captures the modalities legacy tools miss: visual content, AI-agent interactions and AI-generated records, with native capture aligned to FINRA Notice 25-07.
AI Risk Policies (AIRPs) — the lowest alert volume in the market
Quantum's alert generation is powered by AIRPs — AI Risk Policies: pre-built, pre-trained policies from Behavox's Compliance Knowledge Base. Every AIRP is aligned with the Unified Risk Taxonomy (URT), so every alert maps to a defined risk, situation and regulatory control — the fewest, highest-quality alerts on the market.
Built on the Compliance Knowledge Base
A million-plus labelled true/false-positive examples from 10+ years of production deployments.
Pre-trained and validated
Ready for activation — not months of tuning.
Aligned to the URT
Every AIRP maps to a specific risk policy and regulatory framework.
Self-service activation
100+ scenarios via the Scenario Testing Lab, validated against your own historical data.
Every channel, every modality
Voice and text on one platform — across 50+ languages — plus the three modalities legacy platforms were never built for.
- Text: email · Bloomberg · WhatsApp · Microsoft Teams · Slack · Zoom · LinkedIn · YouTube — 150+ channels in total, including social media.
- Voice: Zoom and Teams calls · recorded voice lines · trader turrets.
- Visual content — Bloomberg screenshots, images and shared documents, inspected and classified.
- AI-agent interactions — native capture aligned to FINRA Notice 25-07.
- AI-generated records — meeting summaries, co-pilot outputs and AI-drafted messages, within SEC 2026 books-and-records priorities.
Built for every market
Deployed across the full spectrum of regulated institutions:
Commodities · Crypto · Retail banking · Investment banking · Capital markets · Hedge funds · Traditional asset managers.
Compliance and conduct risk — not just market abuse
Quantum monitors the full spectrum of communications compliance and conduct risks across every captured channel. All communications flow into Intelligent Archive — building a complete, searchable regulatory record across every risk type, producible in under 4 hours.
Risk coverage includes:
- Conflicts of interest — undisclosed relationships, client-suitability failures, unauthorized advice.
- Conduct and harassment — inappropriate communications, bullying, discrimination, toxic-culture signals.
- Personal trading policy — communications revealing unauthorized personal-account dealing.
- Unauthorized disclosure — MNPI leakage, confidential-information sharing, wall-crossing violations.
- Client handling — mis-selling signals, pressure tactics, suitability breaches.
- Regulatory violations — AML signals, sanctions circumvention, regulatory-reporting failures.
- Market misconduct — front-running discussions, collusion, coordinated-trading signals.
100+ detection scenarios in total, spanning trade surveillance, communications compliance, conduct and insider threat — activated from the same platform, on the same data layer, with the same audit trail.
Why act now
Regulatory obligations are narrowing — and the window to deploy ahead of examinations is closing:
- FINRA Notice 25-07 (2025) classifies autonomous AI-agent interactions as supervision obligations. Platforms that were not built for this cannot bolt it on — the architecture must be native.
- SEC 2026 examination priorities name AI-generated records (meeting summaries, co-pilot outputs, AI-drafted messages) as books-and-records obligations. Firms without structured capture are exposed.
- Examination findings arrive within 12–18 months of a regulatory shift. The cost of remediation after a finding consistently exceeds the cost of deployment before it.
As of Q2 2026, Quantum is the only platform to have published a native architecture for AI-agent capture aligned to FINRA Notice 25-07.
Enterprise scale — hundreds of thousands of employees
Full-population coverage is practical, not aspirational — three things work together to make it so:
GCP infrastructure
Built on Google Cloud for horizontal scale — auto-scaling and GPU-accelerated.
AIRPs pre-filter the noise
65–70% of communication volume is removed before a single alert is generated.
Digital Employees review at scale
AI agents handle L1 disposition around the clock — grow throughput without growing headcount.
Scout — agentic AI investigations
When an alert is escalated, Scout autonomously gathers and correlates evidence across connected systems — trade data, HR records, access logs, communications history — and produces a structured investigation record. Scout runs on the same data model as the full Behavox platform, so cross-product evidence arrives in one unified workspace. Read-only by design, audit-grade, with a human reviewer on every compliance decision.
One platform
- Falcon — communications captured by Quantum feed directly into Falcon insider-threat detection. Behavioural signals from Quantum alerts enrich Falcon's human risk profiles — one data source, cross-product insight.
- Integrates with Polaris — communication and trade alerts share one investigation workspace, one case workflow, one audit trail.
- Integrates with Intelligent Archive — communications captured by Quantum are archived natively; regulatory production in under 4 hours, formatted for submission.
Operate Quantum with AI agents
MCP / API — coming soon. Connect AI agents directly to Quantum. The upcoming Quantum MCP and REST API will let AI orchestration tools — including Claude — query surveillance data, trigger investigations and operate Quantum workflows programmatically. Built for institutions building AI-native compliance operations, under full audit and human oversight.
What you get
- Alert-to-source-communication trace: under 15 minutes
- Regulatory evidence package for any monitored employee: under 4 hours, formatted for submission
- Alert noise reduction: 65–70% pre-filter (target: >80% at 12 months)
- 150+ channels covered including visual content, AI-agent interactions and AI-generated records
- 100+ detection scenarios including: Insider Information · Front-Running · Collusion · Market Manipulation · Unauthorized Disclosure · Conflicts of Interest · Client Suitability · Harassment · Personal Trading Policy · Wash Trades
- Tamper-proof audit trail meeting SEC Rule 17a-4(f) retention requirements
Why Behavox
- Purpose-built models in production for 4+ years — not adapted general models — validated through dozens of model-risk reviews; detection models governed to SR 26-2 (the Fed standard that supersedes SR 11-7), the generative layer kept under human review and continuous benchmarking.
- $270M+ R&D invested in AI for compliance; built on Google Cloud with EU and US data residency.
- Every alert explains itself — a ranked, plain-language signal list attached at generation, so compliance teams defend dispositions, not engineers.
Proof
Deployed across 120+ institutions — including GSIBs, asset managers, and broker-dealers — processing more than 500 million communications per month, monitoring more than 70,000 employees, across 50+ languages.
Named clients: J.P. Morgan · BNY · TD Securities · Danske Bank · Brevan Howard · Invesco · Perella Weinberg · Vitol · CITGO · Evercore · Jefferies · Moeve · R.J. O'Brien — plus one central bank and one regulator.
Certifications & standards: SOC 2 Type II (certified) · ISO/IEC 27001 (certified) · ISO/IEC 42001:2023 (certified) · FedRAMP-authorized cloud platform (Google Cloud).
Regulatory frameworks supported: FINRA Notice 25-07 · SEC Rule 17a-4(f) · FCA · ESMA · MAS · MiFID II · EU MAR · DORA.
