Secure the AI moving money and decisions.
Customer-facing copilots, fraud and credit models, trading and operations agents — financial AI handles regulated data and makes consequential decisions. SecuraAI discovers, tests, and governs it against adversaries and regulators alike.
In finance, a manipulated model is a fraud and compliance event.
AI now sits in the critical path of finance: assistants that move customers through products, models that approve credit and flag fraud, and agents that reconcile, trade, and act on instructions. Each touches regulated data — PII, account, transaction — and each makes a decision a regulator can question.
The adversary is sophisticated and the oversight is strict. A prompt-injected support agent that leaks account data, a credit model gamed into unfair outcomes, or an autonomous workflow tricked into an unauthorized transfer becomes an SEC, OCC, CFPB, or FINRA matter — not just an incident.
Securing financial AI means demonstrating — with defensible evidence — that models and agents resist manipulation, treat customers fairly, and keep regulated data controlled.
Where financial AI breaks.
The failure modes that matter when AI meets money and regulated data.
Account & PII exposure
Support copilots and RAG over customer data can be steered into disclosing account details or PII to the wrong party.
Transaction & tool abuse
Agents with payment, transfer, or trading tools can be manipulated into unauthorized or out-of-policy actions.
Model gaming & evasion
Fraud and credit models face adversaries who probe and adapt — evading detection or forcing unfair outcomes.
Prompt injection via customer input
Chats, documents, and uploaded statements are attacker-controllable inputs an agent may obey.
Fair-lending & bias risk
Models that perform unevenly across protected classes create discrimination and regulatory exposure.
Shadow & third-party AI
Unsanctioned tools and vendor AI handling financial data expand the attack surface beyond your controls.
How SecuraAI secures financial AI.
Inventory every customer-facing, risk, and operational AI — including shadow and third-party AI — and risk-tier by data sensitivity and decision impact.
- Find sanctioned, shadow, and vendor AI
- Risk-tier by regulated-data and decision impact
- Continuous governance across the estate
Probe support copilots and transaction agents the way an adversary would — injection, data exfiltration, tool and transfer abuse, and goal hijack.
- Direct & indirect prompt injection
- Transaction, payment & tool-abuse paths
- Blast-radius testing for connected agents
Multi-turn adversarial testing for customer-facing chatbots and voice agents — catching disclosure, non-compliant guidance, and jailbreaks.
- Probe for unsafe or non-compliant guidance
- Jailbreak & social-engineering resistance
- Disclosure & data-leak testing
Statically scan fraud, credit, and pricing model artifacts for unsafe serialization, malicious loaders, and supply-chain risk before deployment.
- Detect unsafe serialization & loaders
- Surface supply-chain risk in model files
- Gate models before production
Mapped to the rules finance answers to.
Findings structured as audit-ready evidence for financial regulators and frameworks.
Prove your financial AI holds — to adversaries and regulators.
Start with a free risk assessment. We'll probe a live system and show you exactly where data and decisions are exposed.