Private pilot access

The action firewall for autonomous AI agents.

KEMSafe verifies identity, permissions, intent, and risk before AI agents touch real business systems.

API keys prove access. They do not prove judgment.

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kemsafe gateway

verifying

AI Agent

autonomous caller

KEMSafe

verification

Business API

downstream

Kemsafe checks4 / 4

Identity
pass
Capability
pass
Proof-of-Intent
pass
Risk
pass

possible outcomesverified before execution

Approved
Human review
Blocked
Quarantined

request · kemsafe-gateway.ts

node

01// verify a high-risk action before it executes
02await kemsafe.verify({
03  agent: "invoice-agent",
04  action: "payment.request",
05  amount: 48000,
06  intent: "Invoice matched contract VC-2024-089",
07  inputHash: "sha256:..."
08});

responsepolicy resolved

approved— policy matchreview— thresholdblocked— injection signal

Incident replays

Watch KEMSafe stop agent failures before they hit production.

Approved

replay

T+00:08 · invoice received

Clean invoice

The agent identity is valid, the invoice matches policy, and the action is allowed.

contract matchamount within policy

decisionapproved

Quarantined

replay

T+00:14 · directive in PDF body

Prompt-injected invoice

The input contains suspicious instructions. KEMSafe catches the mismatch before the payment reaches the API.

embedded instructionamount mismatchlow confidence

decisionquarantined

Blocked

replay

T+00:02 · session mismatch

Spoofed agent

The request fails identity verification before touching the downstream system.

bad signatureunknown caller

decisionblocked

Problem

Agents are becoming operators. Security still treats them like API clients.

AI agents are beginning to send emails, update CRMs, export customer data, trigger payments, modify code, and operate internal tools. Most systems still answer only one question: is the credential valid? That is not enough when the caller is an autonomous agent interpreting untrusted context.

Valid credentials, wrong action

A manipulated agent can use legitimate access to perform harmful actions. Authentication proves the caller is known. It does not prove the action is safe.

Prompt injection reaches tools

Invoices, tickets, emails, documents, and web pages can carry hidden instructions that influence the agent before it calls a real system.

Intent is invisible

Most systems log what happened after execution. They do not verify why the agent acted before execution.

Product

Verify every high-risk agent action before it executes.

KEMSafe sits between autonomous agents and business systems. It decides whether an action should be approved, reviewed, blocked, or quarantined before the downstream API is touched.

kemsafe verification stack

v1 · gateway

01
Agent identity
Cryptographic, short-lived, revocable.
deterministic
02
Capability boundary
Scoped, declarative, enforced.
policy
03
Proof-of-Intent
Structured evidence, not authority.
evidence
04
Behaviour signals
Pattern, frequency, anomaly.
signal
05
Human review
Queue, escalate, decide.
human-in-loop
06
Audit trail
Every decision, fully attributable.
log

output · decision→ downstream system

approved

review

blocked

A single control plane between autonomous agents and business systems.

Agent identity

Give every agent a cryptographic identity with short-lived sessions, revocation, and clear ownership.

Capability boundaries

Define exactly what each agent is allowed to do. Attempts outside the approved scope are blocked before execution.

Proof-of-Intent

Require risky actions to carry structured evidence: intended action, reasoning, confidence, input hash, timestamp, and context.

Behaviour checks

Compare actions against expected patterns. Unusual amounts, frequencies, targets, or workflows can trigger review.

Human approval

Route sensitive or uncertain actions to a human decision queue instead of letting the agent act blindly.

Audit trail

Log every decision with the agent, action, policy result, risk signals, reason, and timestamp.

Architecture

Deterministic first. AI-assisted only when useful.

KEMSafe should not put an LLM in the default critical path. Routine actions are checked with deterministic controls such as identity, capability, policy, revocation, and trust state. High-risk actions can trigger deeper Proof-of-Intent analysis, anomaly checks, and human review.

Fast path