🔒 AI Action Verification & Safety

AI can act.
Exogram decides whether it can.

AI can now approve invoices, move money, contact customers, modify records, and update systems. Every action has consequences.

Integrates instantly with
LangChainCrewAIAutoGenVercel AI SDKLlamaIndex
Transaction Boundary Monitor Active Protection
Proposed AI Action
Approve & Pay Invoice #4928: $25,000
Exogram Boundary Check
Checks Business Rules & Limits
Rule Match: Limit is $1,000 for unverified accounts
BlockedAuto-Enforcement
Suspended: Human verification required for transactions over $1,000.
Consequence & Control
Problem

AI can now approve invoices, move money, modify systems, and contact customers.

Every action carries real-world consequences.

Risk

Prompts are cheap. State mutations are expensive.

A hallucinated prompt response creates confusion. A hallucinated database write or wire transfer creates direct liability.

Solution

Before AI changes anything, Exogram decides whether the action should be allowed, blocked, escalated, or logged.

AI Agent

Initiates Action

Action Request

Exogram

ALLOWDENYESCALATELOG
Enforcement Decisions

Your Business

Invoices, CRM, Payments

Consequences

The Cost of Failure

When AI systems make mistakes, the damage is not virtual. It affects your balance sheet, your operations, and your reputation.

Financial Risks

Unauthorized payments, incorrect invoice approvals, and direct financial liability without human verification.

Operational Risks

Accidental database deletions, unauthorized system changes, and cascading workflow disruptions.

Reputational Risks

Customer communication failures, duplicate email spam loops, and public brand damage.

🚨 The Numbers Are Getting Worse

AI Agent Incidents Are Accelerating

These aren't predictions. These are real numbers from 2026.

65%

of enterprises had an AI agent security incident in the past year

Cloud Security Alliance 2026

73%

of AI systems remain vulnerable to prompt injection attacks

OWASP / SQ Magazine 2026

$670K

additional cost per breach when AI agents are involved

Industry Reports 2026

14 hrs

average time to detect a compromised AI agent

State of AI Agent Identity Security 2026

The question is not whether your AI agents will cause an incident. It's whether you'll have the controls in place when they do.

Execution Trace Simulator

What happens when AI systems operate without verification?

Select a scenario to simulate how the Exogram validation layer intercepts and checks tool calls before they hit your infrastructure.

Select Scenario
execution_sandbox.sh
Proposed Action:
transfer_funds(amount=25000, recipient="unverified_vendor_41")
Evaluation State: 🟢 IdleLatency Gate: 0.07ms max
Architecture

The Modern AI Stack

Exogram is the missing safety layer between what AI wants to do and what it's actually allowed to do.

1. AI Thinking

Models generate planning and ideas

Plans

2. AI Coordination

Software routes and structures tasks

Routes

3. AI Control Layer

Exogram decides whether the action is allowed

ALLOWDENYESCALATELOG
Decides

4. Business Systems

Target databases & financial systems

Product Walkthrough

See the Governance Console

Interact with the sandbox workflow below to learn how safety policies are enforced in real time.

Governance Checklist

Verify AI actions before they write to production

Your compliance team will ask how you governed that AI action. Here's what you show them.

01

Establish Limits

Set hard caps: max transaction amounts, approved API endpoints, allowed database operations. No ambiguity, no judgment calls.

02

Human-in-the-Loop

Anything above your risk threshold gets routed to a human. Not a dashboard alert — an actual gate that blocks execution until someone approves it.

03

Tamper-Proof Audit Logs

Append-only, cryptographically signed. When the auditor asks 'why did this happen,' you hand them a hash chain, not a screenshot.

exogram_governance_report.csv
#12345678

Real-World Consequences (Summary)

Total Proactive Denials: 142 unauthorized DB mutations prevented

Total Escalations: 87 human reviews initiated

Compliance State: 100% auditable history logged to ledger

Audit Trail Hash Proof

STATUS: COMPLIANT (SOC 2 Type II Ready)

HMAC-SHA256: d6d9a91c85675bd4cf5e28a47321ee417855bd2390f7572718e27885b5

Developer Integration

One API call between your agent and your database

Not a dashboard. Not a policy document. One function call — client.evaluate() — that returns ALLOW, DENY, or ESCALATE in 0.07ms.

agent_integration.py
  from exogram import ExogramClient
  client = ExogramClient(api_key="exo_live_...")

  def run_agent_action(prompt):
      tool_call = llm.generate_response(prompt)

+     # Intercept & evaluate before execution
+     verdict = client.evaluate(tool_call)
+     if not verdict.is_safe:
+         return handle_rejection(verdict.error)
-     execute(tool_call.arguments)  # blind trust+     execute(tool_call.arguments)  # governed & safe
01

Install SDK

pip install exogram

Zero-dependency lightweight client. Sits directly in your execution loop.

02

Initialize Client

client = ExogramClient(api_key="exo_...")

Configured with your workspace safety policies. Connects to our high-availability edge.

03

Intercept Tool Execution

verdict = client.evaluate(action)

Evaluates action rules in under 1ms. Returns ALLOW, DENY, ESCALATE, or LOG.

Control what AI does in your systems

AI agents are making real decisions in real systems. Exogram sits between the AI and your business — blocking unauthorized actions, logging every decision, and giving you proof for auditors.

The Safety Layer for AI That Acts

Exogram doesn't replace AI intelligence. It controls what AI is allowed to do — an action-level checkpoint between AI decisions and your business systems.