Comprehensive Журнал аудита Tools for Every Need

Get access to Журнал аудита solutions that address multiple requirements. One-stop resources for streamlined workflows.

Журнал аудита

  • An AI agent leveraging RAG to ingest compliance documents, answer audit queries, and generate detailed compliance reports.
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    What is RAG Compliance Audit System?
    This system automates compliance audits by embedding policies and regulatory documents into a vector store, using retrieval-augmented LLM queries to analyze and report compliance gaps. Users ingest their compliance corpus, configure the vector database, and ask tailored audit questions. The AI agent retrieves relevant sections and produces structured audit reports, highlighting potential violations, recommending actions, and logging each step for traceability.
    RAG Compliance Audit System Core Features
    • Document ingestion and embedding
    • Vector store integration (Chroma)
    • Customizable audit prompts
    • LLM-driven retrieval and response
    • Audit trail logging
  • An AI-powered DevOps assistant that automates cloud infrastructure tasks and generates Terraform code via chat interface.
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    What is Ceylon AI?
    Ceylon AI leverages large language models to translate your infrastructure needs into executable code and API calls. Simply describe the environment or service you want in plain English, and Ceylon AI crafts Terraform scripts or invokes cloud provider APIs directly. It supports AWS, Azure, GCP, Kubernetes, and more. Built-in drift detection alerts you when live infrastructure diverges from your declared state. Cost estimation, security scans, audit logs, and policy enforcement ensure your environments remain compliant, optimized, and reliable throughout their lifecycle.
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