Charmsecurity offers AI‑driven fraud agents that augment investigators and frontline staff at financial institutions. Using its proprietary Human Vulnerabilities and Exploit (HVE™) model, the platform provides real‑time behavioral insights and guidance through three agents—Fraud Investigation, Fraud Frontline, and Fraud Intelligence—to reduce manual triage, improve decision confidence, and lower loss from scams and fraud.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Financial institutions and fraud teams struggle with high volumes of low‑signal alerts, manual triage, and limited real‑time insight into deceptive behavior, leading to delayed responses and increased losses from scams and fraud.
Solution
Charm provides AI‑driven fraud agents that augment human investigators and frontline staff. By leveraging a proprietary Human Vulnerabilities and Exploit (HVE™) model, the agents interpret behavioral cues, connect disparate signals across alerts and customer interactions, and deliver actionable guidance in real time. The platform offers three specialized agents: a Fraud Investigation Agent for deeper case analysis, a Fraud Frontline Agent for live support during high‑risk interactions, and a Fraud Intelligence Agent that probes external scam infrastructure to enrich threat intelligence. This combination reduces manual triage workload, improves decision confidence, and helps organizations intervene earlier to prevent financial loss.
Target Audience
Charm’s primary customers are fraud, financial crime, and risk management teams at banks, credit unions, and other financial service providers that handle high‑volume customer interactions.
Features
- Fraud Investigation Agent that aggregates alerts, case data, and customer communications to surface intent and behavioral patterns
- Fraud Frontline Agent delivering real‑time prompts and question suggestions to contact‑center, branch, and support teams during risky interactions
- Fraud Intelligence Agent that engages external scam actors, mule networks, and attacker assets to collect intelligence and disrupt operations
- Proprietary HVE™ AI model that quantifies human vulnerabilities and exploit techniques for more accurate risk scoring
- Automated Level‑1 noise filtering that handles routine alerts, allowing analysts to focus on high‑impact cases
- Integration hooks for existing fraud management and CRM systems to embed AI guidance within current workflows