Secure, Private, and Trustworthy RAG & LLM Applications
Fueled by innovative Retrieval-Augmented Generation (RAG) techniques and advancements in Large Language Model (LLMs), global development and adoption of Generative AI (GenAI) systems is rapidly accelerating the AI landscape—redefining how organizations leverage data and AI/ML models. But with new power comes new risks.
During build time, GenAI systems can ingest sensitive or regulated data, or become vulnerable to prompt-based exploits and data leakage. At inference, these systems face real-time threats: prompt injections, toxic or biased outputs, and inadvertent exposure of confidential information.
Unchecked, these risks can lead to compliance violations, reputational damage, and unreliable AI outcomes. Styrk AI delivers proactive, layered protection—so your GenAI system remains secure, private, and trustworthy from data ingestion to user interaction.
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- Removes PII and sensitive data from unstructured files during training (for fine-tuning LLMs) or inference (to protect RAG applications)
- Prevents exposure of confidential or regulated information in your GenAI workflows
- Integrates seamlessly with your data and model pipelines
- Filters prompts for injection and jailbreak attempts before they reach your LLMs
- Blocks toxic, biased, or gibberish outputs to ensure safe and compliant user experiences
- Obfuscates sensitive data in prompts and re-identifies it safely in LLM outputs