Prove7
Agentic Apps · Now launching

Your access review is a spreadsheet nobody reads.
Make it an agent that actually does the work.

Prove7 Agentic Apps are governed AI workforces you can put in production. The first one reconciles who should have access against who actually does — across your identity source and every target system — risk-ranks the findings, and seals every action to an audit trail you can hand to an auditor.

Your access review, run by six governed agents — decided by you.
Access review & reconciliationlive
THE ACCOUNTABLE HUMAN Access owner · decides certify or revoke human gate on every revocation · exceptions routed · attested ✓ EVIDENCE YOUR SYSTEMS · READ Workday · IdP AD · SAP · Okta RUN ↓ J. Rivera terminated-but-active risk 97 · SAP 1 Source of truth who should have access 2 Entitlements who actually does 3 Reconcile & rank risk-ranked findings Reviewer-assist 4 certify or revoke Remediation 5 human-gated Evidence seal 6 sealed & attested AGENTS ARMED · AWAITING RUN continuous, not quarterly · run on demand against live data ACT TARGET SYSTEMS · WHERE DECISIONS LAND SAP AD Okta Salesforce Databases SEALED EVIDENCE RETURNS
The agents do the review. The human decides. Auditors get proof, not promises.

The hard part of enterprise AI isn't making an agent act — it's proving it should have. Agentic App Packs are pre-built, governed Agentic Systems that go through the Prove7 Agentic System Development Lifecycle, ready to configure: let the agents do the grunt work, humans retain decision control on what matters, and every action is sealed as evidence — provisioned into your own tenant on day one.

Sony Abraham
Sony Abraham
Founder, Prove7.ai · July 2026 · 9 min read

Launching · Access Review & Reconciliation Agentic Application

Access certification is the control every enterprise struggles with — and quietly rubber-stamps. Once a quarter, thousands of entitlements get exported to a spreadsheet, emailed to managers who click "approve all," and filed as evidence. The orphaned admin account survives. The person who can both create and approve payments keeps both. Auditors know, boards are asking harder questions, and "we'll do better next quarter" has stopped being an answer.

Everyone can now demo an AI agent that does that review. Almost no one can prove, to an auditor, exactly what it did and why it was allowed to. That gap — between agentic and accountable — is the reason enterprise AI stalls at the pilot.

The agents do the work. You keep the proof.

Why now — the stakes

This isn't novelty for its own sake. The control it governs — enterprise access — is exactly where organizations are losing the most money and failing the most audits.

$4.44M
Global average cost of a data breach in 2025 — the price of a control that fails.
IBM 2025
97%
Of organizations hit by an AI-related security incident lacked proper AI access controls.
IBM 2025
62%
Of breaches involved the human element — social engineering, phishing, and stolen credentials.
Verizon 2026 DBIR
82 : 1
Machine (non-human) identities now outnumber humans — nearly half privileged, mostly unreviewed.
CyberArk 2025
Days–weeks
The manual effort a single enterprise access-review cycle takes — scan plus attestation — every quarter.
Microsoft · OpenIAM

Sources: IBM Cost of a Data Breach 2025 · Verizon 2026 DBIR · CyberArk 2025 Identity Security Landscape · Microsoft Entra ID Governance · OpenIAM.

The answer: a governed outcome, delivered end-to-end

An Agentic Application Pack is a pre-built, governed agentic solution that delivers a complete enterprise outcome, born out of the Prove7 Agentic System Development Lifecycle — the agents, the multi-agent workflow, the connectors, and the full trust plane — securely provisioned into your own tenant like a marketplace app. You provision it in one step, configure & assign it — incrementally as needed — to your systems and team through our promote framework, then run & prove — deciding behind an approval gate and exporting sealed evidence. Not a SaaS you rent; governed assets you own.

Solution details: six governed agents

Access Review & Reconciliation isn't a copilot that suggests. It's a multi-agent workflow that reconciles, reasons, risk-ranks, and routes — with a specialized agent for each stage of the real job:

app.prove7.ai/agentic-app-packs › access-review

Access Review & Reconciliation

✓ Provisioned · your tenant6 agents · 1 workflow
Outcomes & ActionsAgentsWorkflowConnectorsTrust & ComplianceAudit
RiskFindingIdentityGrantDecision
97
Terminated but active
Leaver retains AP-approver 34d post-exit · SAP
J. Riverarole:AP_Approver
CertifyRevoke
93
Segregation-of-duties
AP-create + AP-approve on one identity · SAP
M. OseiAP_Create + AP_ApproverHuman gate
88
Orphaned account
AD account, no HR identity · svc_batch_07
— no ownerCN=svc_batch_07Revoked
64
Dormant access
No sign-in in 214 days · Okta
K. Bauergroup:VPN-FullTunnelCertified
⛓ 248 findings this run · every decision sealed to the hash-chained audit trail · run cce87a29
The outcome, not a chatbot. Findings are risk-ranked; consequential actions route to a human gate; every decision is sealed as evidence.

Solution architecture

The Governed Execution Layer — where the six agents run — sits between an Outcomes & Action Layer, where authorized users see findings and act, and the Prove7 Control Vector™, which gates every call. Your systems feed in through governed connectors; risk-ranked outcomes flow out — all inside your own tenant.

How a governed multi-agent workforce executes

The six agents don't run as loose scripts. They're orchestrated as a single multi-agent workflow, and every hop runs inside the Governed Execution Layer — passing the same chain of governance, mapped one-to-one to the Seven Gates, before any consequential action is allowed to happen:

1
Discover Provision & configure
Provision the Agentic Application Pack and configure it securely to your source systems — with managed skills and guardrails.
2
Identity SPIFFE SVID
The acting agent presents its own SPIFFE SVID — issued by a platform CA, never a shared key.
3
Intent-based authorization Intent policy
The action is checked against the agent's declared intent, not just its role — and recorded as a verdict. RBAC asks "can this identity call this API?" Intent authorization asks "is this action consistent with what this agent is supposed to be doing right now?"
4
Access & least-privilege scope
Granted scope and connector assignments are enforced at execution — not merely configured.
5
Promote Build · Decide · Act
Assign controls and promote the agent through Build → Decide → Act. Autonomy is earned through governed promotion, not assumed.
6
Trust Engine
Evaluate at agent entry, model inference, and connector-out — observe or block. The run is scored; sustained conformance promotes, drift auto-probates in real time.
7
Evidence
The action and every verdict above are sealed to the hash-chained, per-tenant audit trail.
Most systems authorize an identity. Prove7 authorizes intent — every action, checked against what the agent is actually supposed to be doing.

The Seven Gates — the seven proves

Prove7 is named for seven proves. Every agentic application must pass all seven gates to be trustworthy in production — and agents built on Prove7 inherit them by construction.

1
Discovered

Every agent, workflow, and tool inventoried and made known — no shadow AI.

2
Identity assigned

Cryptographic identity issued and federated. The agent is someone, not something.

3
Intent attributed

Purpose, scope, and operator bound to an approved intent. Drift becomes detectable.

4
Access resolved

Role, scope, and entitlement resolved across Org, Tenant, and Instance — customer-scoped.

5
Trust promoted

Build · Decide · Act. Autonomy earned through governed promotion, not assumed.

6
Continuously enforced

Trust-weighted action permitted or blocked at every call — policy inline.

7
End-to-end audited

Hash-chained, tamper-evident, attestable. Every decision, every gate — sealed.

Built on Prove7

Agents inherit all seven gates by construction — no assembly required.

Why only Prove7 delivers all seven

Legacy identity-governance tools collect entitlements and run campaigns — then hand thousands of decisions back to humans. RPA automates fixed steps with no judgment. Copilots suggest but never act, with no identity per action and no sealed record. DIY agent frameworks make you build the identity, policy, and audit yourself. Each leaves gates open. Only Prove7 covers all seven — as a substrate, not an add-on.

The Seven GatesProve7Legacy IGARPAAI CopilotsDIY frameworks
1 · Discovered
2 · Identity
3 · Intent
4 · Access / RBAC
5 · Trust promoted
6 · Enforced inline
7 · Audited

full   partial   absent  ·  Built on Prove7 = all seven by construction. Every other approach leaves gates open.

The business value

Done this way, an Agentic Application changes the economics on both sides — cutting standing access risk and audit labor at the same time.

Continuous, not quarterly

Reconciliation runs on demand against live data — not a stale spreadsheet four times a year.

Only real risk reaches humans

Findings are risk-ranked; reviewers decide the exceptions, not thousands of rubber-stamps.

Evidence as a by-product

Every action is sealed to a tamper-evident trail — audit prep stops being a project.

Provable autonomy

Agents act only within trust they have measurably earned — and regress automatically when it slips.

No rip-and-replace

Reconciliation runs on top of your identity source and target systems, not instead of them.

Compliant on day one

The pack ships a governance baseline your team can tighten — never silently loosen.

Mapped to the frameworks you answer for

SOX — ITGC Access ISO 27001 — A.9 SOC 2 — CC6 Segregation-of-duties Sealed, exportable evidence
app.prove7.ai/agentic-app-packs › governance posture

Governance posture — pre-baked, editable

Compliant on day one
Eval gate
≥ 70%
per skill, enforced Build→Decide
Identity
SPIFFE
per-agent SVID, per tenant
Approvals
Human gate
on every revocation
Evidence
Hash-chain
tamper-evident audit
◷ Mapped at runtime to SOX ITGC · ISO 27001 A.9 · SOC 2 CC6 — every action sealed as evidence
Governed from the first run. The pack ships a governance baseline your team can tighten — never silently loosen.

Provisioned into your tenant — governed and gated

The pack is authored once as a blueprint and provisioned into a customer by instantiating it — copying the agents, workflow, and governance baseline into that customer's tenant so they own it, configure it, and run it. It is not a shared black box; it's your governed assets. Multi-org and multi-tenant customers can fan the same pack out across their tenants.

Entitlement-gated by design

A pack declares the platform capabilities it needs to run, and provisioning checks them against the target tenant's entitlements before anything is created — honoring an observe-vs-enforce posture so it never blocks silently. Access Review & Reconciliation requires:

Workflow Orchestration Workflow Protection Governance Layer Agent Governance Trust & Compliance Identity & Authorization
Access review is where we start, not where we stop.

The same governed pattern extends across the most prominent workflow and agentic use-case gaps in Security and Identity Management — joiner-mover-leaver lifecycle, privileged access management, non-human & machine identity governance, segregation-of-duties analysis, and security alert triage & response — each a pre-built Agentic Application you provision and run in production. If you own identity, security, audit, or compliance, I'd genuinely love to show you a live run on your own data.

See a live reconciliation run — on your own data.

Watch the agents reconcile real access, risk-rank the findings, gate the decisions, and seal the evidence — in 30 minutes.

Schedule a live run →
Keep reading: Agentic AI Governance — the platform → The Prove7 Agent Trust Score™ → The Trust Transfer Framework →