Enkrypt AI Guardrails vs GuardionAI

Enkrypt AI Guardrails is a runtime layer for controlling risky behavior across AI agents, tools, retrieval-augmented generation, and MCP. It can filter, rewrite, block, or escalate at prompt, retrieval, tool, and output boundaries, and approve or deny tool calls. Covered risks include prompt injection, unsafe tool actions, boundary violations, sensitive-data exposure, jailbreaks, toxic content, and compliance issues. Policies apply to text, image, and audio inputs. The product supports API-first use with existing model stacks, agent hooks or middleware, MCP Gateway, SIEM and ticketing routes, and identity claims such as Okta, Azure AD, and custom JWT claims. Enforcement logs record a policy ID, version, and reason code and can be exported to SIEM. The product page claims latency under 15 milliseconds. Explore is free and includes 50 credits per month and seven-day data retention; Launch starts at $134/mo (annual). Enterprise includes VPC or on-premises deployment and custom retention.

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.