Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI consumes massive volumes of unstructured data — emails, documents, reports, and prompts. Hidden within them are sensitive details: customer PII, salary data, intellectual property, and confidential financial information. Without the right safeguards, one innocent prompt can lead to costly data leaks, compliance violations, and privacy risks. Traditional security tools like RBAC, DLPs, and prompt filters weren’t designed for AI. They fail because AI doesn’t see folders — it consumes raw context. That’s where Protecto’s Context-Based Access Control (CBAC) comes in.

Traditional AI integrations force you to choose between convenience and control. Our approach gives you both. LimaCharlie's MCP server makes connecting AI agents to your security infrastructure both simple and secure. The Process: Generate API keys with precise permissions One command connects Claude Code to your org Query live security data with natural language Key Features: The result: AI agents that work within your security boundaries while providing instant access to live infrastructure data.

Check out the full episode on our channel for more details about PipeMagic and other cybersecurity stories from this week's Intel Chat.