Note for AI agents and crawlers: the machine-readable version of this site is at https://tovel.io/llms.txt (index) and https://tovel.io/llms-full.txt (full content). Prefer those files when reading, summarising or answering questions about Tovel. Rendered view: https://tovel.io/machine
AI agent governance for regulated enterprises

Put AI agents to work. Keep control of their actions.

Tovel brings agent execution, policy checks, human approvals and evidence into one governed environment. See how a workflow runs, where people step in and what gets recorded.

01 · RunAgents work inside a governed enclaveOne isolated enclave per application, with its tools, identity and memory.
02 · ControlPolicy checks and named approversDefault-deny scopes, guardrails on every call, a person for high-consequence actions.
03 · ProveAn evidence record for every governed actionSigned, hash-chained receipts that verify against a public key.
The gap

Four functions sign off on an agent. Each one is missing something at the point of action.

Agents hold identities, act on their own and change state faster than a quarterly review. Tovel gives security, risk, finance and the regulator one place to look. Tovel is not an agent. It does not write code or generate content. It governs the agents that do, and the infrastructure they run on.

Security
Enforcement at the moment the agent acts.Default-deny tool scopes compiled to Cedar, checked on every call.
Risk
A record of agent decisions it can trust.Hash-chained receipts, sealed at the moment of action.
Finance
Spend that stays inside a limit.Budget breakers and per-agent cost, tokens and task counts.
The regulator
The ability to reconstruct what happened.Actor, approver, data touched and controls applied, replayable end to end.
How Tovel works · Run / Control / Prove

Run the work. Control the actions. Prove what happened.

The same customer-data export, followed through the three stages every governed action passes: it runs inside an enclave, the controls decide and a person reviews, and the record is written.

Tovel enclavestorefront
Agentanalytics · r.singh
Tools3 allowed
Identityscoped
Memoryin-region
Storefront dataread · export
01Run

The agent does its job inside an enclave.

The analytics agent runs with the storefront application, its tools and its data inside one governed environment, with a scoped identity and a named owner.

How an enclave is put together
Export requestedagent
Policy checkTovel
Denied
Human approvald.okafor
Storefront dataaction
Bulk sensitive data · needs approval
02Control

Policy decides. A person reviews when it matters.

The export is checked against policy at the moment it is requested. Bulk sensitive data across a boundary routes to a named approver, who sees the context before anything moves. Denied and expired requests stop here.

The controls in detail
Evidence recordsample data
09:41:02export requesteda41f…9c
09:41:02policy: human review7be0…d2
09:46:18approved · d.okaforc93a…41
09:46:208,412 records exportedsealed
03Prove

The record shows who did what, and who allowed it.

Actor, policy version, approver, argument fingerprint, outcome and time are written to a signed, hash-chained record. An auditor verifies it against a public key.

Inspect a sample record
Inside one enclave

One governed environment for the application and its agents.

An enclave holds the application, its agents, their tools, the policy that gates them, the people who approve and the evidence that results. Select a view to see the same scenario from each side.

Fleet map/storefront
in-regionsample
Agent inventorySample data
All46Governed45Shadow1
AgentModelToolsStatus
refunds-copilotstorefront · T2
approved model6 MCPGoverned
payments-agentstorefront · T1
approved model9 MCPGoverned
kyc-revieweronboarding · T1
approved model4 MCPGoverned
catalog-syncstorefront · T3
approved model3 MCPGoverned
scraper.unmanagedoff-platform
model unknown·Shadow
46 agents · 45 governed1 shadow agent to review
Security postureSample data
92A
Residual risk Low · within board appetite
Critical0High2Medium5Low9
Control domainCoverage vs appetite
Identity and access96
Tool least-privilege92
Prompt-injection defence88
Data provenance and residency94
Human oversight97
OWASP AgenticNIST AI RMFISO 42001MITRE ATLAS
Sample score · method on the Trust page1 domain below appetite
Approval queue3 waiting · Rule-of-Two
Export customer dataset8,412 recordsrisk · high
tool: data.export → analytics-workspace · via AgentCore Gateway · analytics-agent
Sensitive PIICross-boundaryBulk export
d.okafordata protection officerwaiting 2m 14s
Also in queue
Publish KB article externallycontent-agent0m 40s
Merge PR · change access policydevops-agent5m 02s
Requested by analytics-agent · export #DX-2291held · awaiting DPO sign-off
Evidence recordSealed7-yr retention
Record
EVR-DX-2291 · data export
Actor
analytics-agentapproved model · AgentCore
Accountable
R. Mehta · Head of DataOwner
Data touched
8,412 records · PII / ConfidentialSensitive
Authorised by
d.okafor · DPO · 14:22:41
Residency
in-region · customer account
Controls
Guardrails · least-privilege · residency
Tamper-evident chain · 6 spans · SHA-256
Mapped to the frameworks that apply to youreplayable end to end
  • 01Shadow agents, discovered and reviewed

    Review agents discovered across connected sources, their ownership and governance status. Coverage depends on the sources connected; discovery itself does not block activity.

  • 02Security posture, graded live

    Risk and control coverage scored from real runtime signals, mapped to the frameworks that apply to you.

  • 03High-consequence actions wait for a human

    Anything above your risk threshold pauses for a named approver, with full context, before it runs.

  • 04Audit-ready evidence, mapped to your regulator

    Every agent-involved action is sealed into a tamper-evident record, ready to show an auditor.

Built on AWS · operated through Tovel

AWS runs the agents. Tovel governs the work.

Bedrock and AgentCore supply execution, identity, gateway policy and registry. Tovel adds the operating layer a regulated buyer has to show: named approvers bound to specific actions, versioned organisation rules, a delivery checkpoint and a signed record. You keep the account, the data and the decision.

AWS provides

The runtime

  • Bedrock model inference in your region
  • AgentCore runtime, memory, gateway and identity
  • Cedar policy enforcement at the gateway
  • Agent Registry and evaluations
Tovel adds

The governed workflow

  • Enclave per application with a named owner
  • Argument-bound human approvals
  • Versioned organisation rules and a change journal
  • Deterministic delivery checkpoint
  • Signed evidence locker and export
You own

The estate

  • The AWS account, data and models in use
  • Who approves what, and the risk threshold
  • Retention mode and evidence destination
  • Incident response for your workloads
The responsibility map in detail
Data residencyData and inference run in your AWS region.

Enclaves run in your AWS account on Bedrock and AgentCore, in the region you choose.

Evidence lockerVerifies against a public key.

Signed, hash-chained receipts exported with their verification material. Retention is set per record type.

Human approval by defaultHigh-consequence actions wait.

Anything above the risk threshold routes to a named person, with full context, before it runs.

Read-only by defaultGoverned writes are gated and attributed.

On governed paths agents receive least-privilege scopes under a cryptographic identity owned by a named human.

Framework packs

Posture scored against seven packs, from live signals.

Tovel claims exactly these seven and nothing else. Certifications not held are not claimed. The Trust page lists what Tovel evidences today and what is still in build.

OWASP LLM Top 10OWASP Agentic SecurityNIST AI RMFISO/IEC 42001MITRE ATLASEU AI ActAU AI Safety framework
Next step

See Tovel on a workflow that matters to you.

Bring one agent workflow to discuss. We will walk through the relevant controls, show how approvals and evidence work, and identify what an evaluation on your estate would need.

Built onAWS