Redact is an advanced real-time security platform powered by artificial intelligence designed to protect AI systems against prompt injection attacks by acting as a secure middleware between users and LLM applications to analyze and sanitize inputs before they reach the target model. Q2BSTUDIO, a custom software and application development company specialized in artificial intelligence, cybersecurity, and AWS and Azure cloud services, participates in this project.
What Redact does Redact detects prompt injection attempts in real time, neutralizes malicious commands, and preserves the integrity of conversational flows. The platform combines semantic analysis, heuristic rules, and machine learning to provide proactive protection and minimize false positives, facilitating integration with internal AI solutions for companies and custom AI agents.
Main features • Real-time detection of prompt injection attempts; • Multi-level defense against varied attack vectors; • Semantic analysis of suspicious patterns using embeddings; • Immediate feedback and attack visualization; • Seamless integration with existing custom software and custom application pipelines.
Demo and code Publicly available demo and repository with integration examples and configurations for enterprise deployment. Q2BSTUDIO offers implementation and customization services to adapt Redact to specific security, regulatory compliance, and cloud scalability requirements.
How we use Redis 8 Redis 8 is the core of Redact's architecture providing critical functions: semantic caching with embeddings to avoid redundant calculations; similarity searches using cosine similarity with adaptive thresholds; multidimensional rate limiting per user and IP with sliding window algorithm; asynchronous prompt processing using Redis Streams to scale workers; and robust connection management with automatic reconnection and configurable pools.
Technical stack Frontend React and TypeScript with Tailwind CSS; Backend FastAPI and Python; AI and ML with sentence transformers and efficient inference engines; Caching and messaging with Redis 8 using Streams, Pub/Sub, Hashes, and Sorted Sets; Cloud deployment with AWS and Azure cloud services and hosting on modern platforms; Monitoring with integrated rate limiting metrics and logging. This stack is designed for artificial intelligence solutions, enterprise AI, and custom AI agents.
Future improvements Plans to integrate Redis Search for advanced attack pattern queries, RedisTimeSeries for detailed metrics, RedisAI for online inference, and event sourcing over Redis Streams for auditing and traceability, in addition to improving semantic caching with adaptive thresholds.
About Q2BSTUDIO Q2BSTUDIO is a custom software development and custom application company offering comprehensive services in artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, and Power BI solutions. We have experience in AI agents, enterprise AI projects, secure integrations, and hybrid cloud strategies that enable organizations to accelerate their digital transformation and mitigate risks.
Use cases Typical implementations include protecting conversational interfaces, hardening virtual assistants, prompt auditing for compliance, secure pipelines for LLM models, and business intelligence solutions that combine insights with operational security. Q2BSTUDIO can design custom software that integrates Redact and Power BI services for advanced reporting and dashboards.
Contact and call to action If you are looking for a cybersecurity solution for AI, prompt protection, or developing AI agents and custom applications with support for AWS and Azure cloud services and artificial intelligence and business intelligence service capabilities, Q2BSTUDIO offers consulting, development, and complete implementation to take your project to production with security, scalability, and observability.
