Platform

Secure AI agents everywhere they run.

On laptops, in code and cloud, and inside SaaS platforms. NoFly finds every agent, decides each action before it runs, attacks its own defences and keeps one record of all of it.

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app.shomra.ai · AI inventoryReal capture
AI inventory: every AI asset by source, platform and finding severity
Where agents run

Three places agents run. One gate.

Each place has different builders, different architecture and different risks. NoFly covers all three with the same inventory, the same rules and the same record.

A faceted paper globe printed with the chart, paper planes on routes around it
1Run by employees

Coding agents on laptops

Developers run Claude Code, Cursor, Copilot CLI and Codex with their own access, connected to MCP servers that reach source code, internal APIs and production data. Most were installed in a minute, without a review.

  • Found through the EDR and MDM you already run, or one scan per machine
  • A gate inside each agent decides every command and tool call before it runs
  • Critical moves refused on the machine, even offline
How Protect works
2Built by engineering

Agents and AI apps in code and cloud

Engineering teams build agents with LangChain, the OpenAI Agents SDK and CrewAI, and ship them on Bedrock, Azure and Google Cloud. They reach customers and production systems, so they carry the widest blast radius.

  • An MCP gateway and a model proxy apply the same rules with no code changes
  • Plugins for the API gateway you already run: Kong, Envoy, LiteLLM, Portkey and more
  • Runs from Langfuse, Helicone or OpenTelemetry traces joined into one record
What each gateway covers
3Built by business teams

Agents in SaaS platforms

Sales, support, finance and HR teams build agents in Copilot Studio, Agentforce, n8n and ServiceNow, often without telling security. They read and change CRM records, tickets and invoices.

  • Imported by name as governed agents, in monitor mode first
  • Inline blocking on Copilot Studio, Agentforce, Bedrock Agents, Azure AI Foundry and n8n
  • Monitoring for the rest, and labelled as monitoring
How Discover finds them
Why one platform

Point tools see one surface. Agents cross all of them.

An agent reads a ticket in one system, calls a tool through another and sends data through a third. Security that lives in one of those places sees a third of the story.

  1. NOFLY01

    Every surface, one decision

    The same rule runs in coding-agent hooks, the MCP gateway, the model proxy, hosted-agent callbacks and pull requests, so an action is judged the same way wherever it happens.

  2. NOFLY02

    The whole run in view

    Each call is judged with who asked, what the agent read before it, and where the instruction came from. Secrets and personal data are followed from where they were read to where they are sent, across sub-agents.

  3. NOFLY03

    Each control feeds the next

    Discovery gives the gate identities to enforce. Attacks grade every control they pass through. Breaches become protections, causes become rules, and every decision lands in one tamper-evident record.

Use cases

What teams use it for.

Where an incident has already happened in the wild, the card links to our breakdown of it.

Works with

The AI you already run.

Coding agents, agent platforms, model providers, and the identity, ticketing and security tools around them. Every connection is read-only unless you ask for more.

What each integration does