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Guardion

Zero-trust runtime security and governance for enterprise AI agents

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What Guardion does

Guardion (GuardionAI) is an early-stage AI-security company building a runtime control plane that governs enterprise AI agents. Designed with a zero-trust architecture for regulated industries, the platform routes agent traffic through an encrypted gateway that sits directly in the execution path, where it can discover and inventory agent activity, detect prompt attacks, redact sensitive data, block data leakage, and enforce security and compliance policies across multi-step agent workflows. It is positioned as a drop-in proxy between AI tools and the systems they touch, giving teams instant observability, inline enforcement, and compliance coverage without re-architecting applications. The company advertises operational reliability aimed at production use, including a 99.99% gateway uptime SLA on distributed infrastructure with automatic failover and low added latency (P99 under roughly 20ms of overhead). Founded in 2024 by former Apple Siri runtime-security engineers and organized in Dover, Delaware, Guardion is a small, recently formed startup, and detailed funding information is not publicly disclosed. It is aimed at security, risk, and compliance teams in regulated sectors that are deploying autonomous or semi-autonomous AI agents and need runtime governance, data protection, and auditability at the point where agents act.

Key capabilities

  • Zero-trust encrypted agent gateway
  • Runtime prompt-attack detection
  • Sensitive-data discovery and redaction
  • Data-leakage prevention
  • Policy enforcement across agent workflows
  • Low-latency drop-in proxy with high-availability SLA

Best for

Regulated enterprises deploying AI agents that need zero-trust runtime governance and data protection

Limitations

Very early-stage and small; limited public track record, customer references, and disclosed funding; product maturity and independent validation still developing

Framework coverage

Guardion does not publish explicit mappings to the major AI governance frameworks. That is common for tools in the runtime enforcement & guardrails category, where the value is technical rather than documentary — but it means you will be responsible for evidencing how it satisfies your obligations.

Compare Guardion

Head-to-head against the closest tools in its category.

Guardion alternatives

Other tools solving a similar problem in Runtime Enforcement & Guardrails.

Customizable runtime guardrails, evaluation, and red-teaming for enterprise generative and agentic AI

EU AI ActNIST AI RMF

Runtime security for enterprise GenAI usage, applications, and AI agents

NIST AI RMFEU AI ActGDPR

Full-lifecycle inference-layer security and guardrails for enterprise AI

NIST AI RMFEU AI Act

AI-native security platform guarding GenAI apps against prompt attacks and data loss

EU AI ActNIST AI RMF

Open-source enterprise AI gateway with inline guardrails across 1,000+ models

Open-source
See the full Guardion alternatives guide →

AI Governance Tool Selection Kit

A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.

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