PricingGetting Started
4 Simple Steps · 0.07 Milliseconds

How Exogram
Keeps AI Agents Safe

Think of Exogram as the safety inspector that checks what your AI is about to do before it touches your real computers, credit cards, or customer files. It all happens in 4 simple steps in less than a millisecond.

Exogram Safety Brakes and Permanent Memory Bank Architecture
Safety Brakes & Permanent Memory Bank· Sub-0.07ms Verification
Zero LLM in Path
The Complete Causal Chain

Exogram's 5-Stage Authority Architecture

How memory and real-world understanding lead to controlled, safe execution. From verified facts to instant 0.07ms safety brakes.

The Causal Chain:1. Ledger2. Understanding3. Inference4. Controls5. AdmissibilityOutcome: Safe Action
Total Decision Overhead: < 0.07ms
Stage 05: AdmissibilityThe Bouncer (Instant Safety Brakes)

Decide whether a fact, inference, or action is valid for this purpose, at this time, under this authority.

Execution Latency: 0.02ms
What This Stage Does

Before any command executes, the bouncer stands at the door and asks: "Is this action allowed right now, for this specific customer, under this exact authority?" If the AI gets tricked, confused, or hallucinates, the brakes slam in 0.07 milliseconds before anything touches your real systems.

Why Polite Prompts Fail Here

Negative prompt rules have zero physical power over network sockets or database drivers. Once an AI generates a malicious payload, only external pre-execution gating can stop it.

Production Disaster Prevented

Accidental DROP TABLE commands, duplicate credit card charges, and prompt-injected data leaks.

How to Implement This Stage:TypeScript / Python SDK
// Stage 5: EAAP pre-execution admissibility gate
const verdict = await exogram.admissibility.evaluate({
  proposedAction: toolCall,
  stateHash: currentState.hash,
  timeoutMs: 0.1
});
if (verdict.isAdmissible) await toolCall.execute();

Exogram evaluates this stage locally in memory without external network calls.

Canonical Taxonomy

The Exogram Terminology Hierarchy

One unified architecture. Five unambiguous roles.

1. The Category

Context & Admissibility Infrastructure

The foundational layer that gives AI models persistent memory and instant safety brakes.

2. Core System

Exogram Authority Runtime

The software engine that separates model reasoning from execution authority in 0.07ms.

3. Foundation

Governed Semantic Ledger

The immutable, tamper-evident record of all real-world facts, receipts, and state changes.

4. Open Protocol

EAAP Protocol

The Exogram Action Admissibility Protocol for mathematically verifying tool calls.

5. The Outcome

Verifiable AI Execution

Zero accidental database wipes, hard-capped spending, zero hallucinated actions.

STEP 1: THE INTERCEPTORSTAGE 01 OF 04

1. Interception: Outbound payload intercepted before execution.

The local adapter or MCP gateway hooks into your agent execution flow (such as LangChain, CrewAI, Claude Desktop, or Cursor) and transparently intercepts outbound commands and tool calls before they hit APIs or databases.

💡 5-Second Summary: Exogram catches what the AI is about to do BEFORE it touches your live server, database, or payment API.
Hooks into native MCP (Model Context Protocol) and SDK loops
Zero impact on model reasoning capability
Sub-millisecond interception path (<0.07ms overhead)
Prevents raw direct database connection leaks
PIPELINE EXECUTION LOG
{
  "agent_id": "auto_codegen_agent",
  "action": "sql_write",
  "parameters": {
    "query": "DROP TABLE system_state_logs;"
  },
  "timestamp": "2026-06-26T20:12:00Z"
}

What Makes Exogram Different?

⚡ 0.07ms Overhead

Evaluates actions in less than 1 millisecond. No slow LLM reasoning calls inside the decision path.

🔒 Impossible to Bypass

Decouples AI reasoning from tool execution authority. Prompt injection cannot override Exogram rules.

📊 Audit-Ready Proof

Generates tamper-proof SHA-256 state hashes for instant compliance exports (EU AI Act, SOC2, HIPAA).

Authorize Every AI Agent Action Before It Reaches Production

Connect Exogram in 5 minutes via REST API, ChatGPT Custom GPT Action, or Model Context Protocol (MCP) server.