Product
A new approach to stopping financial email fraud before it impacts your business.
Today, we’re introducing CyberHook: a modern email defense platform built to intercept Business Email Compromise, supplier account takeover, IBAN change fraud, and other high-risk financial email threats before they turn into losses. Rather than relying only on known-bad signatures, CyberHook uses behavioral AI to detect anomalies in communication patterns, identity, and intent that traditional filtering can miss.
Financial email fraud has become one of the most damaging categories of cyber risk for modern organizations. These attacks do not always depend on malware or obvious spam signals. They often succeed by exploiting trust: impersonating executives, hijacking suppliers, or inserting fraudulent payment changes into otherwise normal-looking conversations. CyberHook is designed for that problem space specifically.
Security teams do not need more noise. They need focused detection on the attacks that create the greatest financial exposure. CyberHook is built around targeted protections for the most common and costly fraud workflows. That includes identifying unauthorized bank detail changes inside vendor communication, spotting compromised supplier accounts even when messages come from legitimate domains, detecting executive spoofing and linguistic manipulation in BEC attempts, and surfacing risky internal behavior that may indicate insider abuse or credential misuse.
Traditional email security tools are often optimized for spam, commodity phishing, and known indicators. CyberHook takes a different approach. It maps communication behavior across the organization to establish a baseline of trust, then flags anomalies in how people normally communicate, request approvals, and handle sensitive financial workflows. This makes it better suited to zero-day BEC and vendor fraud scenarios where the message may appear legitimate on the surface.
Detection is only part of the workflow. CyberHook enriches incidents with the context security and finance teams need to make decisions quickly: what changed, why it was flagged, where the trust pattern broke, and what evidence supports remediation. The platform positions this as automated remediation or one-click resolution backed by forensic evidence, helping teams move in seconds rather than hours.
CyberHook is designed to scale for SOC teams, but it is also positioned as a low-overhead, “set-and-forget” defensive layer for mid-sized organizations that do not have a large dedicated security function. That matters because financial email fraud often targets exactly the teams that are operationally busy and thinly staffed.
Deploying stronger email security should not require risky infrastructure changes or long rollout cycles. CyberHook connects natively to Microsoft 365 through API-based integration, with no MX record changes, and the connection can be completed in under five minutes. AI learning starts immediately, with baseline results visible within 24 hours.
Integrate CyberHook with Microsoft 365 through a native API connection. No gateway re-architecture. No mail flow disruption.
CyberHook learns the normal rhythm of your organization’s communication and approval patterns to establish a working model of trusted behavior.
When threats are flagged, you can review enriched incident evidence and take automated or one-click remediation actions.
Business Email Compromise is effective because it attacks people and process, not just infrastructure. Attackers study hierarchies, tone, timing, and vendor relationships to craft messages that feel routine and urgent at the same time. The result can be fraudulent transfers, invoice diversion, sensitive data exposure, and major operational disruption. CyberHook is built around reducing that risk before payment or approval actions are taken.
Because CyberHook uses native API hooks rather than inline MX gateways, There is no impact on email delivery speed or reliability. That means organizations can add targeted fraud protection without introducing extra friction into day-to-day communications.
Email security is evolving toward attacks that look more human, more contextual, and more financially precise. The defensive response has to evolve with it. Our current positioning points toward a model where email security is less about broad filtering and more about understanding trust, identity, and behavioral deviations in sensitive business workflows. For organizations exposed to BEC, vendor fraud, and payment manipulation, and this is the layer that matters most.