GuardionAI vs Sanctum Runtime

GuardionAI provides runtime security and governance for customer-facing AI, autonomous agents, and coding agents. Its gateway evaluates agent and MCP calls inline and can allow, block, or redact actions before they execute. Data protection features identify personal information and secrets, mask or vault-tokenize them before requests leave an organization, and can restore responses for users. Runtime guardrails detect prompt injection, jailbreaks, harmful content, and unsafe tool calls; they can block, redact, or flag actions. A coding-agent plugin monitors tool calls and can stop destructive commands, secret exfiltration, and unauthorized calls before they run. GuardionAI can operate as an inline gateway or through its API, and the maker says this requires no application rewrites. Listed integrations include OpenAI, Claude, Gemini, LangChain, LlamaIndex, LangGraph, Pinecone, AWS, Google Cloud, and Microsoft Azure. The company says its gateway is encrypted, model providers do not see raw data, and customer data is not used to train its models. It describes the service as GDPR-, HIPAA-, and LGPD-ready, with SOC 2 Type II in progress.

Sanctum Runtime is middleware that checks actions from AI agents, robots, and automated systems before they are carried out. It evaluates proposed actions against policies and can approve them, ask for verification, or block them. Operators can review, approve, deny, or escalate actions through web and mobile workflows. The product describes behavioral monitoring, audit logs, policy history, and decision trails for runtime visibility and incident review. Its open-core runtime supports local policy checks and offline verification, including local Ollama risk scoring. Documented integrations include OpenAI, Claude/MCP, Gemini-style function calling, DeepSeek, Grok, Bedrock-compatible endpoints, NVIDIA NIM, custom agents, and local runtimes. Developers can use Node and Python SDKs, an MCP wrapper, ROS2-oriented policy packs, and smart-home and embodied-agent templates. The repository is described as MIT-licensed and self-hostable; a hosted console and proxy path are also available. The product identifies itself as embedded runtime middleware, not a standalone consumer app or robot controller. Some enterprise capabilities, including fleet orchestration and organization-wide policy sync, are private.