Use case · Data exfiltration

Stop agents from sending your data where it shouldn’t go.

Autonomous agents pipe records to external endpoints through tools and MCP calls at machine speed. GuardionAI inspects every action and blocks exfiltration before it executes.

+2,000 exfiltration & threat attempts blocked

The difference

Three layers where agents act. One platform to govern them all.

Most tools secure only the prompt. GuardionAI governs every layer — what your agents say, what they do, and what they build.

What agents say

Customer-facing AI

Chatbots, copilots, and support — every response is public, and you are accountable for it.

The risk
  • Customer PII exposed in a response
  • Prompt injection & jailbreaks
  • Off-policy or non-compliant advice
  • Regulatory exposure — LGPD, GDPR, EU AI Act
What agents do

Autonomous agents

Agents acting on your systems through MCP servers and tools — on their own, at machine speed.

The risk
  • Data exfiltration through a tool call, not the prompt
  • Over-privileged access to production data
  • Compromised or poisoned MCP tools
  • Shadow AI & ungoverned agents
What agents build

Coding agents

Claude Code, Codex, OpenCode, and Cursor writing and running code across your environment.

The risk
  • Secrets & credentials leaked into code or commits
  • Destructive commands — rm -rf, dropped tables, pushes to prod
  • No audit trail from an incident back to a user

GuardionAI

Agent Runtime Governance

One platform across all three layers — the same policy engine, observability, and incident response. Start anywhere, no new tooling.

What we govern

Conversational AIMCP & endpoint DLPCoding agentsSecrets & credentialsShadow AI discoveryPrompt injection & jailbreaksPII detection & redactionTool & MCP supply-chainTamper-evident audit & evidence
SystemsAI AgentsEndpointsMCP ServersDatabasesCustomer PII exposedfrom AI outputRedacted

ModernGuard model series

Our own guardrail models — not a generic API.

ModernGuard is our multilingual model series for prompt security, AI safety, and privacy — built on ModernBERT and trained on proprietary data. Guardrails are event- and session-aware, accumulating context into a live session risk score, so we catch the real action and behavior — not just the prompt. Fully fine-tunable to your use cases, updated from feedback and as it processes production data. Covers 1,080+ languages, fine-tuned on 11.

Hugging FaceGuardion/ModernGuard-1
#1
96.3 F1 on the Prompt Security Leaderboard
20×
faster latency than cloud provider guardrails
1,080+
languages covered

Enterprise & trust

Enterprise-grade from the first request.

Zero-trust by architecture

Encrypted gateway; no model provider sees raw data; your data never trains our models. PII is stripped before it ever leaves your org, backed by a security vault.

Compliance-ready

GDPR, HIPAA, and LGPD-ready, with SOC 2 Type II in progress. Comprehensive audit logs, SSO, and granular RBAC — tamper-evident and exportable to your SIEM.

We deploy it with you

A Guardion engineer embeds with your team for 30 days. Replaces the ~12 months and 3+ engineers it takes to build this in-house.

SOC 2 Type II — in progressGDPR · HIPAA · LGPDAARM-alignedANPD AI Regulatory Sandbox — participant
746M
Agent actions / month protected
99.98%
Detection precision
sub-130ms
End-to-end · ~7ms p95
+2,000
Threats blocked

In production across the largest LatAm fintechs · Built by engineers from Apple Siri · Nubank · Y Combinator

Start securing your AI

Your agents are already running. Are they governed?

One Security Gateway. Total control. Live in under 30 minutes — zero instrumentation.

Deploy in < 30 minutes · Cancel anytime