Protecto Context-Based Access Control (CBAC) for AI is an access control solution designed for AI pipelines and LLM-based workflows, where data is unstructured and context-driven rather than structured and file-based. Unlike traditional Role-Based Access Control (RBAC), which governs access by where data sits (tables, files, folders), CBAC enforces access policies based on the meaning, context, and intent of data within AI workflows. It integrates with existing IAM systems (such as Active Directory or Okta) to read role definitions, then applies fine-grained permission rules in real time across prompts, documents, agent outputs, and API calls. Key capabilities include: - Context-aware access enforcement that evaluates who (user, agent, or tool) is requesting data and what the prompt or context contains - Fine-grained data protection covering PII, PHI, salaries, intellectual property, contracts, and other sensitive business data - Adaptive policy rules that can block, mask, or transform data while preserving meaning for AI reasoning - Real-time enforcement across multi-agent workflows, including agent-to-agent and tool-to-agent communications (including MCP-driven workflows) - Support for compliance frameworks including HIPAA, GDPR, and DPDP Use cases span customer support, healthcare, financial services, and enterprise multi-agent systems. The product is SOC2 certified, HIPAA compliant, GDPR ready, and ISO 27001 certified. It is available as a SaaS offering with a free trial option.