The problem
Every insider threat program confronts the same gap. Your DLP and UEBA tools generate thousands of alerts per analyst per day — and none of them answer the question that matters: which employee might say yes to an offer of $20,000 in Bitcoin for VPN credentials? Which one is quietly preparing to leave with client data? Which one is accumulating grievances that will push them to act?
DLP and UEBA address only one side of the Fraud Triangle — Opportunity. They detect file movements, USB copies, access anomalies, mass downloads. What they cannot detect is the human interior: motivation, rationalization, intent. These signals only surface in communications.
Behavox Falcon addresses all three sides. Its framework is simple: keep insider threats left of boom — intervene before an incident occurs, not after.
Why it matters
- Detect what tools cannot see — surface the behavioral signals that precede insider incidents months before the action, so organizations can intervene rather than investigate.
- Reduce alert fatigue — behavioral context filters genuine risk from background noise, targeting ≥50% reduction in false-positive alert volume so security teams focus on real threats.
- Faster response — when a risk profile crosses a threshold, watchlist registration, access review, and HR escalation happen immediately — not after a manual triage queue.
- Stronger defensibility — every alert, every watchlist decision, every escalation is traceable, auditable, and formattable for regulatory examination.
- Confidence to act early — a departing employee attempting data exfiltration at 11 PM is caught before it happens, not reconstructed in forensics after it does.
What it does
Behavox Falcon secures the human element in three phases:
Detect — Identify critical pathway indicators in communications
Falcon ingests 150+ communication data types and runs them against 18 risk policies (17 AI-powered, one rule-based) from the Behavox Insider Threat Knowledge Base™ — built from 100,000+ verified true-positive examples, thousands of regulatory frameworks, and enforcement cases. Detection covers two classes of indicator:
Realized Indicators (trigger immediate alert): flight risk, data exfiltration, credential sharing, offer of a bribe or recruitment, blackmail and extortion, planning a cyber or physical attack, fraudulent expense claims, unauthorized interactions with foreign state actors or media, terror financing.
Predictive Indicators (register as watchlist candidates): financial distress (extreme indebtedness, mortgage stress, bankruptcy), family stress (divorce, personal lawsuits, health crises), disgruntlement (compensation complaints, manager complaints, toxic culture references, loss of prestige), psychological stress (depression indicators, substance abuse, suicidal ideation).
Investigate — Build risk profiles, understand motive
When multiple signals overlap for the same individual — a financial stress alert, followed by a disgruntlement spike, followed by an anomalous file transfer — Falcon registers the employee on a Watchlist and escalates to the relevant teams. Security, HR, legal, and compliance see the same risk profile. Silos break down before the incident forces them to.
Falcon enriches every watchlist case with the context investigators need: motive, behavior, potential target, urgency. Predispositions and vulnerabilities that would never appear in a UEBA log become part of the risk picture.
Mitigate — Intervene before the incident
Early intervention options — manager notification, access revocation, HR and legal engagement — are triggered based on watchlist status, not retroactively after damage occurs. For organizations on the Behavox platform, Falcon integrates with the enforcement layer to automatically tighten controls for high-risk employees: block sensitive transfers, quarantine attachments, hold messages pending review — in real time, proportionate to behavioral risk.
Where AI helps
- GPU-accelerated multilingual ML + LLM filtering — 14 ISO 27001-aligned cybersecurity categories, 150+ communication data types, 18 risk policies (17 AI-powered, 1 rule-based). The Behavox Insider Threat Knowledge Base (100,000+ true-positive examples, regulations, enforcement cases) trains the models; the LLM layer provides contextual judgment at alert time.
- Explainable risk scoring — every alert includes a ranked list of contributing signals and their weights. Analysts defend escalations; models don't make opaque decisions.
- DataLabs API — Falcon's insights, watchlist data, and alert decisions integrate directly into third-party SIEM platforms, data-visualization tools, and case-management systems. Security teams keep their existing workflow; Behavox upgrades its intelligence.
- Managed Services option — Behavox's in-house team of insider-threat specialists reviews alerts, curates watchlists, and escalates true positives to the client. Only confirmed risk reaches your security team.
Deployment
Two options:
API overlay on existing infrastructure — Falcon's AI evaluates alert candidates from existing surveillance systems (Global Relay, Smarsh, Relativity, Bloomberg Vault). Sentences are extracted and sent to Behavox AI for evaluation — no metadata or PII in transit. Preferred by organizations with substantial existing data-lake investments. Minimal program change; maximum intelligence upgrade.
Full Behavox platform — Falcon runs on Quantum as the data aggregation, archive, and surveillance foundation — ingesting 150+ channels directly. Single-tenant deployment on GCP or AWS; customer-held KMS keys; runs on Google Cloud's FedRAMP-authorized platform (GCP deployments); 50+ languages supported; built-in voice surveillance. On the full platform, Falcon shares a data model with Polaris (trade surveillance) and Intelligent Archive, enabling cross-product risk correlation that no point solution can replicate.
Privacy & proportionality
Behavioral monitoring of employees is lawful and effective only when it is proportionate and governed. Falcon is built for that standard: monitoring scope, indicators and thresholds are configurable to your lawful basis and jurisdiction; access to risk profiles is role-based and least-privilege; and every alert is explainable and reviewed by a human — Falcon never makes an employment decision on its own. The platform is designed to support GDPR proportionality, works-council and data-protection requirements, and the same model governance applied across Behavox — detection models governed to SR 26-2, and the AI layer kept under human review and continuous validation — so insider-risk detection holds up to your DPO, your works council and your regulator, not just your security team.
Proof
Deployed across financial services, technology, healthcare, energy, government, defense, and legal — sectors where insider data exfiltration carries the highest regulatory and reputational consequence. Product expertise built by former government-intelligence and Big Tech insider-threat practitioners.
Regulatory frameworks: NYDFS Part 500 · SEC cybersecurity rules · FCA MAR · MAS TRM · ISO 27001 (14 cybersecurity categories) · GDPR · DORA.
Part of the Behavox controls platform, trusted by 120+ institutions and backed by $270M+ in R&D.