DATA IS LEAVING TODAY
Every unmanaged agent is an open exfiltration path.
Source code, credentials, customer records — moving through agents your DLP can't see, right now. Gödel inspects and holds them at the moment of exit, on every surface.
AI agent security·enforced at runtime
Every agent.
Every action. Secured.
Gödel's Gate governs what AI agents actually do at runtime — every action taken, every piece of data touched — and stops unsafe ones before they execute.
Secure Coding Agents
ClaudeClaude Code
CodexCodex CLI
CursorCursor
GeminiGemini CLI
WindsurfWindsurf
CopilotGitHub Copilotchain-of-custody
Know what every agent touched.
And who it was acting for.
Trace each runtime action from the user and agent identity that triggered it, through the data it accessed, to the decision that governed it — session, signal, tool call, verdict.
data source
agent
action
effect
GitHub Issue6 events
Jira Ticket4 events
Slack Channel2 events
Claude Code6 events
OpenAI Codex4 events
Cursor AI4 events
Gemini CLI4 eventsShell Execution4 events
Config Mutation2 events
MCP Launch2 eventsCode Blocked4 events
Config Denied2 events
MCP Allowed2 events
Artifact Allowed2 events
Swipe to explore the complete audit flow →
The chain nothing follows
Context becomes a tool call becomes an action. Nothing in your stack follows that chain.
Sensitive information doesn't stay where your controls can see it. The moment an agent touches it, it's rewritten at every hop — summarized into context, embedded in a tool argument, dispatched as an action. Each transformation strips whatever your stack knew about it. By the time it matters, nothing remembers what the data was — except Gödel, which classifies it at every hop and carries its handling requirements through to the final action.
01
MCP response
Sensitive HR data enters the session.
The last point your existing controls can see.
02
Agent context
The agent summarizes and transforms it.
Same data, new shape — invisible to filters.
03
Tool argument
It becomes part of an outbound tool call.
No label left to inspect.
04
External action
Gödel still knows what it is.
Policy stops the wrong destination.
Handling requirements that survive every hop
Restricted · Internal only · No external output · No memory persistence — enforced from step 01 to step 04
Data Authority
Classify and Protect information at the moment AI uses it.
No pre-labeling required. Gödel inspects content in milliseconds as it enters, leaves, or moves through an AI workflow then derives the handling requirements that policy must enforce.
Understand the information
What does this interaction contain?
Source codeC1
Secrets and credentialsC2
HR and payrollC3
Financial informationC4
Legal and M&AC5
Personal dataC6
Apply required handling
How may AI use it right now?
Internal use onlyREQUIRE
No external outputREQUIRE
No memory persistenceREQUIRE
Redact before useREQUIRE
Human review requiredENFORCE
Block all processingENFORCE
Signal & Decision
Classification is the signal. Handling policy is the decision.
Policy at the moment of use
The same information can be safe to summarize and unsafe to send.
Gödel evaluates what the content contains, which agent is using it, where it is headed, what operation is being attempted and whether threat signals are present before the interaction proceeds.
Classified InformationAI InteractionDecision
Sensitive HR content
Returned to Claude Code through an MCP response
BLOCK
Material non-public information
Submitted to ChatGPT on the web
BLOCK
Prompt-injected tool output
Attempts to trigger a shell or network action
BLOCK
Internal engineering context
Summarized by an internal model under policy
ALLOW
Enforced inside the workflow
Policy reaches agents where the work happens.
Gödel enforces from inside each agent's own workflow — the same content and threat policies on every AI surface, applied at the moment an agent acts, not after. How it gets there is the part you'll want to see live.
Coding agents
Inside the loop, not around it
Every prompt, file, and action a coding agent touches is checked against policy before it executes — across Claude Code, Codex, Cursor, Gemini CLI, and other coding agents.
Browser agents
One policy across web AI
The same content and handling policies follow your teams wherever they meet AI on the web — ChatGPT, agentic browsers, uploads, pasted content, and browser-driven actions.
Agent frameworks
Coverage for whatever you build
LangChain, LangGraph, CrewAI, OpenAI agents, or fully custom — policy travels with the agent across inputs, outputs, tools, and handoffs.
FOR SECURITY LEADERS
Every surface. Every agent.
Every action — governed.
Sanctioned or not, agents are reading your code and touching your data today.
These are the risks running unmanaged right now — and what closing them looks like.
ATTACKERS ARE ALREADY PROBING
One poisoned page can command your agents.
Injection attacks against agents are live in the wild — and every agent you haven't governed will obey. With Gödel, untrusted content never gains the authority to act.
BANNING ISN'T AN OPTION
Your teams won't stop. Govern instead of chase.
Blocked agents go underground; shadow AI is worse than sanctioned AI. Put policy on every agent — approved or not — and turn a blind spot into a governed rollout.
"WE DON'T KNOW" WON'T HOLD
When the board asks, have the record.
What agents accessed, attempted, and were denied — a full account, from day one. The difference between reporting your AI risk and discovering it in an incident.
AI changes where information must be protected.
Research & Technical Deep Dives
FAQ
What buyers need to know.
Where is Gödel hosted? Is it SaaS or self-hosted?+
Both. Gödel is available as a managed SaaS (we host and run the control plane for you) and fully self-hosted in your own environment, including private cloud and air-gapped. In every deployment, content inspection and classification run on-device on the endpoint; what differs is only where the control plane lives, our cloud or yours.
What does Data Authority mean?+
Data Authority governs agent execution by trust. Trusted data becomes context; untrusted data doesn’t. And only trusted context can change the agent’s behavior, so a hidden instruction buried in a page or a ticket can be read but never obeyed.
Does my data leave my premises? Does Gödel work air-gapped?+
Your content never leaves for processing and with self-hosting nothing leaves at all. In every deployment, detection, classification and enforcement run on-device; your source code, documents, prompts and secret values are never sent to Gödel for classification. With the self-hosted option, everything, content, findings and audit, stays entirely within your environment so Gödel is eligible for air-gapped, data-sovereign and regulated deployments (threat-intel and rule updates can arrive as an offline bundle). With managed SaaS, only policy configuration and findings metadata (content labels, action verdicts, secret hashes, never your content or secret values) sync to the control plane. Either way, the security tool itself can never become a data-exfiltration path.
Are you using a frontier model for any functionality?+
No. Detection and classification run on small, on-device models plus deterministic scanners. No frontier LLM ever sees your scanned content. This is a deliberate design choice as it keeps your data in your boundary and keeps latency and cost low.
Do you train models on my data?+
No. Gödel does not use your content to train models. Models ship pre-trained; your data stays local and is not collected.
Put a provable boundary in front of every agent.
Deploy in five minutes. Your agents keep shipping — unsafe actions don't.