Financial institutions face unprecedented challenges in adopting generative AI. Strict regulatory requirements, multilingual complexity, and data privacy obligations create massive barriers to innovation.
highlights
Strict data residency regulations preventing cloud LLM usage
Complex multilingual inputs with inconsistent formatting
High risk of exposing sensitive personal and financial information
Need for real-time data protection in dynamic AI workflows
Maintaining AI model accuracy during data masking
The Solution
Context-Aware Data Protection Platform
Protecto's enterprise-grade AI security solution provides a comprehensive approach to securing sensitive data while maintaining AI reasoning and performance.
Zero-Trust Data Masking
Proactively masks all sensitive data by default
Unmasks information only with explicit policy compliance
Preserves contextual understanding across AI interactions
Multilingual Intelligent Detection
Advanced detection across Arabic, English, and mixed-language content
Handles complex inputs like Arabic numerals and transliterated names
Robust against typos, spacing issues, and encoding variations
Real-Time Workflow Protection
Seamless integration with existing LLM pipelines
Dynamic data evaluation during multi-step AI operations
Minimal latency with enterprise-grade availability
The Results
Transforming Enterprise
AI Security
By implementing Protecto’s solution, the financial institution achieved unprecedented levels of AI security without compromising operational efficiency.
Key Achievements
99% recall in sensitive data detection
96% precision with minimal false positives
85% semantic consistency in AI reasoning
Full compliance with regional data residency laws
Completed proof-of-concept in just four weeks
Enterprise-Grade AI Security is Within Reach
Experience the same level of comprehensive data protection that enabled a leading financial institution to innovate safely and confidently.
Download "Revolutionizing AI Security in Financial Services"
Discover how a global financial institution enforced zero-trust AI guardrails—masking sensitive data in Arabic-English prompts while preserving 85% semantic accuracy.