Independent. Vendor neutral. Your ledger, your infrastructure.

Runtime control

Agentic AI Security That Acts
Where the Agent Acts

Your agents take real actions across business systems. InterceptAI evaluates every consequential action, enforces your policies, holds unsafe actions, and records what was authorized versus what occurred.

Intercept the gateway at the action boundary. Live under 40 milliseconds.

intercept-gateway · action boundary
live<40ms
Agent
Intercept
Score
Enforce
Record
Verify

intercept → score → enforce → record · fail safe defaults · hash chained ledger in your Postgres

The Gap Nobody Owns

The Damage Rarely Comes from Clever Attacks. It Comes from Actions That Looked Completely Authorized.

Security tooling is built to catch bad actors. But the coding agent that erased a production database and the support bot that invented a refund policy both operated within their permissions. Nothing was breached. That is a different category of risk, and until now no layer of the stack has taken responsibility for it.

01

Machine Speed, No Reviewer

The write path runs on its own. By the time a person notices something irreversible has happened, it has already finished. That delay is new, and it is dangerous.

02

Permitted is Not the Same as Intended

A permission system can only tell you an action was allowed. It cannot tell you the action was correct. Anything wrong yet permitted passes without friction.

03

No Record to Answer With

After an incident, the only question that matters is who approved what. With no record that resists editing, there is no honest answer to give.

Where Does the Existing Stack Stop?

You Probably Already Own Three Tools. None of Them Stand at the Action Boundary.

01

Identity and Access Management

It decides whether an agent is permitted to call something. It cannot judge whether the call was sensible. Every incident above passed its permission check.

02

Observability and Tracing

It shows you what happened after it happened. Useful for debugging, useless for prevention, and the logs it writes can be edited by whoever owns them.

03

Prompt Filtering and Guardrails

It inspects text going into and out of the model. They sit before the decision, not before the side effect, and anything living inside the prompt can be argued around.

InterceptAI sits after the model has decided and before the system is touched. That is the only place a wrong but permitted action can still be stopped or reversed.

How It Works?

One Place Everything Passes Through. Four Possible Verdicts.

Each consequential action funnels into a single gateway. We assemble the context, rate the consequence, let your policy decide, and then store what genuinely happened.

Agent Runtime
AgentTool / API call
Intercept Gateway
GatewayThe action boundary · <40 ms
01
InterceptNormalize the call and strip sensitive fields.
02
ScoreRun the consequence model.
03
EnforceReturn the policy verdict.
04
RecordWrite chained proof.
Policy Engine
AllowLet it run
HoldSend it for human review
BlockRefuse it
WrapRun it with an undo attached
Assurance Record
Hash Chained LedgerAppend only · Postgres
Authorized vs ActualExportable audit trail
allow — let it runhold — send it for human reviewblock — refuse itwrap — run it with an undo attached

Who It Is For?

Built for the 2 Teams Who Carry the Risk

One layer for the people shipping agents, one for the people answerable when those agents act. Both work from the same trustworthy record.

Platform & AI engineers

Put Autonomous Agents into Production Without Holding Your Breath

Drop InterceptAI in at the boundary. Your agent does not change, and neither do your tools.

  • Works through an MCP proxy, a software development kit, or outbound traffic. One engine, any transport.
  • Policy per agent, with an identity boundary that fails closed.
  • Undo adapters for the wrap path and exactly once behaviour on retries.
  • Run it inside your own VPC. The ledger never leaves your Postgres database.
Security and Compliance

The Oversight Record Regulators and Insurers Now Ask to See

We are independent of the agent platform and the tools, so no conflict of interest is baked into the evidence.

  • A ledger that only appends and is chained by hash, verifiable by an outside party.
  • Authorized against actuals on every action, with redaction on by default.
  • Human holds with routed approvals and response time targets.
  • Isolation per tenant, single sign on, and controls aligned to a SOC 2 program.

The 4 Pillars

Assurance You Can Demonstrate, not Simply Claim

Agent
Intercept
Score
Enforce
Record
Verify
STEP 1

Intercept

A genuine choke point. Nothing consequential commits without going through it first.

STEP 2

Score

Consequence rather than keywords: how reversible the action is, how far the blast radius reaches, and how far it has drifted from what was asked.

STEP 3

Enforce

Allow, hold, block, or wrap. Safe defaults, with rules set per agent.

allowholdblockwrap
STEP 4

Record

An exportable account of what was permitted against what ran, built so tampering shows.

Deploy

Onboard Through the Portal, or Run the Whole Thing Inside Your Own Cloud

Either route keeps us independent, and the ledger stays yours.

Self host

Your infrastructure, your Postgres, your ledger.

Nothing leaves your VPC. The gateway is stateless; scale it like any other service.

  • Docker Compose for a single host/staging
  • Helm / Kubernetes for HA (the gateway is stateless)
  • Bring your own OIDC + external Postgres
  • Two DB roles enforce the append only ledger
Quick Start
$docker compose up -d
$pnpm --filter @interceptai/db migrate
$pnpm demo

The Record

Every Action Leaves a Receipt That Cannot Be Quietly Rewritten

Each entry is chained to the one before it, and the database itself refuses edits. That protection lives in the storage layer, not merely in application code. An auditor can check the chain without taking our word for anything.

Action
Decision
Record
Proof
ledger entry #004821✓ chain verifies
action
payments__transfer
agent
inside-sales-bot
score
band=HIGH irreversible=0.9
verdict
hold → approved by dana@ 14:02
intended
“refund order 4471, ≤ $200”
actual
amount=180.00 status=executed
prev
3f9a…c21e
hash
7d0c…9b1f

Get Started

Put a Person Back in the Loop, at the Speed the Machine Moves

Set up your first tenant in the portal, or run the whole stack inside your own network today.