Execution governance for AI

Liberate your AI.

Control and prove every action on your data.

Join the tool call to the query that actually executed. SmartVerify applies your policies and creates one signed record per action, held in your account.

Start record-only. Enable enforcement on your terms.

Two checkpoints. One action record.Illustrative
Interceptor 01

Tool-server ingress

Person, agent & tool call

Interceptor 02

Datastore ingress

Executed query & returned data

Signed action record01 ACTION
Person / agent
analyst@enterprise / revenue-agent
Tool call
get_regional_revenue(region: EU)
Executed query
SELECT region, revenue FROM sales…
Returned data
18 rows · region, revenue
Policy decision
Allowed · revenue-read policy
Cryptographically signed In your account

Technical alliances

SmartVerify is a member of the Linux Foundation and the Open Secure AI Alliance. SmartVerify is listed as Aligned in the AARM builder registry, a Cloud Security Alliance project.

At the point of execution

A tool call is intent.
An executed query is fact.
Connect the two.

An agent asks a tool to act. The tool reaches your data. SmartVerify intercepts both boundaries to connect the person and agent behind the request to the query that ran and the data that came back.

Paired-interceptor deployment

Inside your environment

01 / TOOL-SERVER INGRESS

Know who asked for what.

Capture the person, verified agent identity, tool call and arguments as the request reaches the tool server.

Agent → interceptor → tool server

02 / DATASTORE INGRESS

Govern what actually happens.

Apply policy on the data path. Capture the executed query and returned data, then join them to the originating tool call.

Tool server → interceptor → datastore

ONE / SIGNED RECORD

Your action. Your evidence.

One signed record per action binds identity, intent, execution and result. The record stays in your account.

How reconciliation works

Fits your security stack. Identity, access and agent-platform controls remain essential. SmartVerify complements them with policy enforcement and joined evidence at execution.

Need a narrower starting point? Single-interceptor deployment is also supported for the boundary you need to govern first.

Built by the team that built, operated and scaled security and compliance services at AWS

Four capabilities. Your policies.

Start with visibility.
Move to enforcement.

Begin in record-only mode to understand agent actions on your data. Then enable refusal, reshaping and customer-defined limits where your policies require them.

01

Record

Available now

Join the person, agent, tool call, query as executed, and returned data in one signed entry per action, stored in the customer's account. Retention is configurable, and longer periods with an immutable export are available for estates with a mandated retention period.

02

Refuse

Available now

Refuse a query or tool call that breaks customer policy before it reaches the data or tool server. The agent receives an error its framework already handles.

03

Reshape

Available now

Apply policy to returned data so the agent receives only the rows and fields the request permits. Available on PostgreSQL and MySQL; S3 and DynamoDB reshaping are on the roadmap.

04

Limit

Available now

Cap records per query and tool calls per agent and per person. Customers define the policy limits and counting windows. Behavior-based cumulative limits are on the roadmap.

Available coverage

Record & Refuse: PostgreSQL, including RDS and Aurora; MySQL; S3; DynamoDB; and MCP/JSON-RPC.
Reshape: PostgreSQL and MySQL.

View capability and source coverage

Roadmap · not current capability

Reason and cumulative behavior-analysis limits are on the roadmap. Current limits are defined by customer policy, not learned behavioral baselines.

Built for enterprise ownership

The agent gets access.
You keep the keys.

Govern MCP and JSON-RPC tool calls alongside the datastore operations they trigger. Your policies control the action. Your account holds the evidence.

Explore the platform

Verified identities. No shared database secrets.

Short-lived, verified workload identities connect actions to their origin. Agents and tool servers hold no database secrets.

Evidence at the action level.

Each signed action record includes NIST AI RMF and NIST SP 800-53 mappings, giving Security, Risk and Audit teams a common evidentiary trail.

Into the workflows you already use.

SIEM webhooks carry action evidence into your security operations. Investigate with the originating tool call, executed query and result connected.

Let agents work. Keep control.

Put your policies on the path.
Keep the proof in your account.

Start with one workflow in record-only mode. See the action record before you turn on enforcement.

Contact for a demo