GLACIS vs GuardionAI

GLACIS puts controls in the path of AI actions and creates signed records of covered decisions for external verification. When an action crosses configured bounds, it can be constrained, held for a person, or denied; other actions can pass through unchanged. Glacis says it operates nine production components as a managed service alongside the identity provider, cloud, and security systems a customer already uses. Records use OVERT, a published open format that implementers and reviewers can inspect, and can be checked in a browser without a Glacis account. The site says payloads remain in the customer’s environment and records contain hashes; omitting protected fields depends on deployment setup. A record check does not establish whether an action was correct, whether every event was captured, or whether a system is safe or compliant. GLACIS is available by API, web, and self-hosted deployment. Its Free account costs nothing, with no card required. The contact page describes a six-week evaluation for a workflow under review.

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.