Banks, fintechs, and investment firms deploy AI agents that touch transaction data, customer PII, and financial records. TapPass gives your CISO full visibility, real-time threat detection, and compliance evidence for every LLM call.
AI agents in financial services create governance gaps that traditional security tools miss entirely.
Your support agent sends IBANs, transaction histories, and SSNs to external models. No scanning, no redaction, no record it happened.
DORA requires ICT risk documentation. When your AI agent recommends a trade, there's no record of what data it processed or why.
A crafted support ticket manipulates your AI agent into calling the payments API with modified parameters. No tool-level governance.
Multi-tenant AI systems leak client A's portfolio data into client B's analysis. Session isolation is a regulatory requirement.
Your scoring agent shifts classification after a model update. You don't notice until losses spike three quarters later.
Your AI agent routes a request with EU customer data to a US-hosted LLM. GDPR Art. 44–49 transfer rules violated. Zero visibility.
A comprehensive governance pipeline sits between your agents and the LLM. Every call is scanned, classified, and logged.
Detects IBANs, card numbers, SSNs, and dozens of obfuscation techniques before data reaches the LLM.
Every LLM call generates a tamper-evident record. Classification, detections, cost, all cryptographically chained.
Multi-layer scanning catches direct attacks, indirect injection via tool results, and multi-step exfiltration chains.
Route confidential data to EU-only providers. Route public data anywhere. Policy-driven, per-agent.
Require manual sign-off for high-risk actions: large transfers, account modifications, compliance-sensitive ops.
Statistical signals detect when your agent's behaviour changes. Catch model updates and regressions before they cause damage.
Full runtime governance. EU-first compliance. Audit trails your regulators accept.