Rakshak by KalpitLabs

Rakshak provides a critical security layer for large language models, safeguarding interactions between users and models. Key features include: * Real-time prompt injection blocking * Jailbreak attempt detection and prevention * Personal Identifiable Information (PII) leakage redaction * Guardrail bypass prevention * Phishing content generation interception This platform acts as a robust firewall, intercepting user prompts before they reach the model. It employs a multi-stage detection process, combining pattern matching for known attack signatures, semantic similarity analysis against a comprehensive threat dataset, and a fine-tuned classifier for identifying novel attack patterns. If a prompt is flagged, it is blocked, ensuring your model remains unexposed to malicious inputs. Beyond input security, Rakshak also scans every model response for potential output vulnerabilities. It detects system prompt leakage, PII exposure, and policy violations, redacting sensitive data in real-time or blocking the response entirely, depending on the severity. This ensures users receive clean, safe responses, protecting both your platform and your users from sensitive data exposure. Built for rapid deployment, it offers a self-serve API key and integrates in under an hour. Ideal for development teams, security professionals, and enterprises deploying conversational platforms that require stringent security measures and data privacy compliance. It ensures robust protection for any language model API.