Secure AI for Financial Services
Deploy autonomous customer support agents and financial analysis tools while meeting strict banking compliance, data localization, and fraud prevention guardrails.
Key Industry Challenges
PII Data Privacy
Autonomous banking agents analyzing transaction sheets risk leaking sensitive credit card data or PII in LLM API requests.
DORA & PCI-DSS Audit
Strict fintech regulators require tracing every model's decision logs, workspace integration permissions, and training data updates.
Model Prompt Fraud
Adversaries exploit customer chatbots using prompt injection bypasses to trigger unauthorized transaction approvals or credit rating modifications.
How CipherNest Helps
Real-time Prompt Filtering
Isolate model inputs to remove prompt injection bypasses and strip credit card details, account tokens, and bank routing numbers prior to sending requests to LLM APIs.
Automated Compliance Auditing
Maintain continuous posture scores, trace model drifts, and generate SOC 2 and DORA alignment documents automatically for fintech compliance regulators.
FinTech Compliance Enforcements
Tracing model pipeline logs and tool runtime anomalies to prevent service disruption.
Blocking cardholder details leaks and encrypting tokenized configuration credentials.
Securing model training databases and tracing data ingress paths contextually.
Case Study: Global Bank Secures Customer Bot
A top-tier European digital bank deployed a customer chatbot agent to help users query balance sheets. Within 2 weeks of deploy, hackers executed multi-turn prompt injection attempts trying to force balance sheet adjustments.
Secure your AI platform
before attackers do.
Join the private beta to deploy the unified AI-native security platform across your code, agents, MCP ecosystems and runtime. Or book a live walkthrough with the founding team.