Runtime Security for Every AI Agent Surface

Coding agents are the most privileged software on a developer's machine. They read entire repos, run arbitrary shell commands, install dependencies, push to git, and call MCP tools — all faster than any human can review. One poisoned PR comment or hallucinated package is enough to turn that speed against you. Gödel Security Gate sits in the execution path as a local-first, zero-latency proxy: every file read, command, and tool call is attributed to the user and agent behind it, checked against the data it touches, and allowed, held, or blocked in under 5 ms.

Nothing about the agent changes. Gödel is model-agnostic and works with Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Codex CLI, and any MCP-enabled tool — no SDK, no prompt changes, no fine-tuning. Policies are deterministic, so the same action gets the same verdict every time, and every decision lands in an immutable audit trail your SecOps team can stream to Splunk, Datadog, or S3. Developers keep shipping; the unsafe actions don't.

A browser agent inherits everything your browser has: logged-in SSO sessions, cookies, saved payment methods, and access to every internal SaaS tool you use. It reads pages no one vetted and acts faster than anyone can supervise — which makes the open web a direct attack path into your enterprise. One hidden instruction on one page can turn a helpful assistant into an exfiltration channel. Gödel's browser extension sits inside the session: every page read, form fill, download, and click is attributed to the user and agent behind it, checked against the data in play, and allowed, held, or blocked in under 5 ms.

Privacy is architectural, not a promise. Sensitive data is classified and redacted inside the browser itself before anything is handed to the endpoint agent for deeper analysis — unredacted data never leaves the browser, and even redacted telemetry never leaves the endpoint it runs on. One extension covers Chrome, Edge, Brave, Opera, and Safari, governing consumer agentic browsers like Comet and Atlas and automation frameworks like Playwright with the same deterministic policies — and every verdict lands in an immutable audit trail your SecOps team can stream to Splunk, Datadog, or S3.

A desktop agent is the broadest-privilege surface in the fleet: it reads any file the user can open, sees every window on screen, and drives real applications — email, banking, HR systems — with real clicks. There is no sandbox; the desktop is the sandbox. And the attack surface is multimodal: a poisoned invoice, an image with an invisible text layer, or a meeting recording can all carry instructions for the agent that opens them. Gödel scans every modality — text, images, and audio — and every file access, screen capture, app action, and outbound payload is attributed to the user and agent behind it, checked against the data it touches, and allowed, held, or blocked in under 5 ms.

Enforcement is local-first: classification and redaction happen on the machine, so sensitive files, screenshots, and clipboard contents never leave the endpoint unchecked — and telemetry stays where it was produced. Gödel is model-agnostic and works with Claude Cowork, Claude Desktop, ChatGPT Desktop, Comet, and any computer-use agent, with no SDK and no agent modifications. Policies are deterministic — the same action gets the same verdict every time — and every decision lands in an immutable audit trail your SecOps team can stream to Splunk, Datadog, or S3.

Framework agents don't have a screen to watch or a human in the loop — they plan, retrieve, and act autonomously against real systems, around the clock. Hyperscaler guardrails check what a model is allowed to say; they can't see what your system is allowed to do — how a poisoned ticket becomes a plan step, how a corrupted summary becomes trusted memory, or how benign-looking tool calls compose into exfiltration. Gödel's SDK enforces policy inside the agent loop itself: every plan step, tool call, retrieval, and memory write is attributed to its workload identity, checked against the data it touches, and allowed, held, or blocked in under 5 ms.

Deployment follows the agent, not the other way around: the same enforcement runs on a Linux VM, a Kubernetes cluster, or a serverless runtime, wrapping LangChain, LangGraph, CrewAI, AutoGen, Claude-harness agents, OpenAI Assistants, LlamaIndex, Haystack, and Semantic Kernel without changing your models or prompts. Policies are deterministic — the same action gets the same verdict every time — and every decision lands in an immutable audit trail your SecOps team can stream to Splunk, Datadog, or S3.

Legacy DLP was built for a perimeter that agents bypass completely. They don't move files — they read files, condense them into reasoning tokens, transform them across tool calls, and transmit new artifacts through model APIs, MCP tools, and external services. Gödel tracks data authority and handling policies through every transformation step directly inside the runtime loop.

Every action is evaluated locally on the endpoint before a byte leaves the process. Classifications travel with derived context so that even if a restricted HR spreadsheet is summarized into a plain Markdown note with an innocuous name, the egress block is enforced deterministically in under 5 ms.

Auditors don't want your AI policy — they want proof it held. Gödel maps every runtime detection to the specific articles it evidences, so you can answer which controls your agents violated, who was accountable, and whether enforcement actually prevented the action.

Every single agent action is captured at the local runtime boundary, signed with cryptographic integrity, and mapped to specific control IDs across 10 major standards (SOC 2, ISO 27001, EU AI Act, NIST AI RMF, HIPAA, PCI DSS, GDPR, Australian Privacy Act, ASD ISM, and Essential Eight). You get one-click auditor exports and zero blind spots.