Redact is a real-time security platform powered by AI designed to protect artificial intelligence systems against prompt injection attacks. It acts as secure middleware between users and applications with language models, analyzing and sanitizing prompts before they reach the target model. Developed and backed by Q2BSTUDIO, a custom software and application development company specialized in artificial intelligence, cybersecurity, and AWS and Azure cloud services.
Main features • Real-time detection of prompt injection attempts • Multi-layered defense against diverse attack vectors • Semantic analysis of suspicious patterns using embeddings and sentence transformer models • Instant feedback and attack visualization • Seamless integration with existing AI workflows and custom software solutions
How we protect your business • Semantic analysis to identify camouflaged malicious instructions • Automatic sanitization and adaptive rules to maintain prompt integrity • Event logging and auditing for traceability and compliance • Access control and per-user and per-IP policies to reduce the attack surface • Support for on-premises and cloud deployment with AWS and Azure cloud services
Use of Redis 8 in the architecture • Semantic cache: storage of embeddings generated with sentence-transformers to avoid redundant calculations, cosine similarity queries with configurable threshold to speed up security decisions • Rate limiting and throttling: multidimensional algorithms per user, per IP, and global, with sliding windows and automatic cleanup of expired windows to protect resources and prevent abuse • Streaming processing: prompt queue with Redis Streams to enable asynchronous processing and horizontal scaling of security workers • Connection management: pooling, automatic reconnection, and health checks to ensure availability and efficiency • Pub/Sub and structures such as hashes and sorted sets for messaging and efficient metadata storage
Technological stack • Frontend: React, TypeScript, Tailwind CSS for interactive interfaces and dashboards • Backend: FastAPI and Python for fast and secure APIs • AI and ML: sentence transformers all-MiniLM-L6-v2 and inference engines for semantic analysis and applied artificial intelligence • Caching and messaging: Redis 8 Streams, Pub/Sub, Hashes, and Sorted Sets • Deployment: Vercel and options on AWS and Azure cloud services • Monitoring: integrated rate limiting metrics, logs, and traceability for auditing
Demo and repository • Public demo available at https://redact-llm.vercel.app • Source code and contributions at https://github.com/VaishakhVipin/Redact-LLM
Planned future improvements • Integration with Redis Search for advanced queries on attack patterns • Use of RedisTimeSeries for detailed metrics and temporal analysis • Adaptive semantic cache with dynamic thresholds based on context • Integration with RedisAI for real-time inference and latency reduction • Event sourcing with Redis Streams for complete audits and compliance
About Q2BSTUDIO • Q2BSTUDIO is a custom software and application development company with deep experience in artificial intelligence, cybersecurity, and AWS and Azure cloud services. We offer custom software services, business intelligence solutions, Power BI implementation, AI agent development, and AI consulting for businesses. Our approach combines cybersecurity best practices with custom software engineering to deliver robust, scalable solutions aligned with business objectives.
Keywords for positioning • custom applications • custom software • artificial intelligence • cybersecurity • AWS and Azure cloud services • business intelligence services • AI for businesses • AI agents • Power BI
Contact us at Q2BSTUDIO to assess how Redact and our artificial intelligence and cybersecurity solutions can protect your models, optimize your processes, and bring strategic value through custom software and AWS and Azure cloud services.
