Agent Runtime Governance · EDR for AI agents
Every command, tool call, and data access happens at machine speed — in a blind spot your EDR and DLP can't see. GuardionAI gives security and AI teams real-time visibility, enforcement, and evidence across every agent: customer-facing, autonomous, and coding.
The state of agent security
Blocking them isn't an option. Neither is leaving them unprotected. Across the industry, incidents are already happening — and traditional DLP and API security weren't built for them.
of organizations had — or suspect — an AI agent security incident in the last 12 months.
CSO
report risky agent behaviors — unauthorized system access and improper data exposure.
AIUC-1
added to the average breach cost when AI is used without governance or access controls.
IBM Cost of a Data Breach
What actually goes wrong
Across customer-facing AI, autonomous agents, and coding agents — mapped to the frameworks your auditors already use.
A crafted message — or poisoned content it retrieves — makes your support bot ignore policy and give unauthorized or off-brand advice.
→ Off-policy output you are liable for.
The assistant returns PII or account details that belong to someone else — straight into a customer-facing response.
→ A reportable LGPD / GDPR data-exposure event.
An autonomous agent pipes customer records to an external endpoint through an MCP or tool call — at machine speed.
→ Exfiltration you find out about after.
A tool you approved is compromised after the fact — like the Hugging Face MCP poisoned post-approval — and your agent keeps calling it.
→ Supply-chain drift with your agent's permissions.
A coding agent reads an API key or credential and pastes it into a tool call or a commit. EDR never saw it — it isn't endpoint malware.
→ A credential-exposure incident, found late.
A coding agent runs rm -rf, drops a production table, or pushes to prod — an action no human approved.
→ Data loss or an outage, with no trace of why.
And until you can answer “how do you govern this?”, any one of them can stall your next enterprise deal in security review.
Proof in production
Their agents were live and fully blind — no visibility into what they were doing, no way to trace an incident back to a user. Now every action is observed, enforced, and on record, and security and product finally ship together.
Trusted and Backed by

Industry veterans in AI, tech & cybersecurityNow governing your agents.
The platform
Every action observed, enforced, and answered for.
Monitor every AI interaction, investigate incidents, enforce policies, and govern every agent from one place.
The difference
Most tools secure only the prompt. GuardionAI governs every layer — what your agents say, what they do, and what they build.
Chatbots, copilots, and support — every response is public, and you are accountable for it.
Agents acting on your systems through MCP servers and tools — on their own, at machine speed.
Claude Code, Codex, OpenCode, and Cursor writing and running code across your environment.
One platform across all three layers — the same policy engine, observability, and incident response. Start anywhere, no new tooling.
What we govern
ModernGuard model series
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.
Works with your stack
Connect once. Protect every AI application, agent, and model already running in your environment — no architecture changes, no rewrites, no vendor lock-in.
Enterprise & trust
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.
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.
A Guardion engineer embeds with your team for 30 days. Replaces the ~12 months and 3+ engineers it takes to build this in-house.
FAQ
For the buyer who needs to know exactly how it works before it ships.
Two modes, no application rewrites. Run it inline as a Security Gateway in front of your models, agents, and MCP servers, or call the Guard API directly from your code. Either way it is zero-instrumentation — connect once and it covers every AI application already running in your environment.
The policy engine returns a decision in under 130ms, and the inline gateway adds roughly 7ms of overhead. Enforcement happens before an action executes, so you get real-time blocking without a noticeable hit to your agents.
Any model (OpenAI, Claude, Gemini, Bedrock, Cohere, Meta), any framework (LangChain, LlamaIndex, CrewAI, Swarm), any MCP server, and any cloud. Coding agents like Claude Code, Codex, OpenCode, and Cursor are first-class — and it works across five native languages, extended to 1,000+ through post-training.
Zero-trust by architecture. The gateway is encrypted, no model provider sees raw data, and your data never trains our models. PII is stripped before it ever leaves your org, backed by a security vault, and all logs are tamper-evident and exportable to your SIEM.
Yes — this is a core focus. GuardionAI sees what coding agents build and run: it catches secrets and credentials leaking into code or commits, blocks destructive commands (rm -rf, dropped tables, pushes to prod), surfaces which models and credentials developers actually use, and traces any incident back to a session and a user.
We deploy it with you. A Guardion engineer embeds with your team for 30 days to stand it up — replacing the ~12 months and 3+ engineers it would take to build this in-house.
GDPR, HIPAA, and LGPD-ready, with SOC 2 Type II in progress. Detections map to the OWASP LLM Top 10, NIST AI RMF, and AARM threat classes, and we are a participant in the ANPD AI Regulatory Sandbox. SSO and granular RBAC come standard.
Real-time visibility, enforcement, and evidence across every agent — customer-facing, autonomous, and coding.
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