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AI Trust Platform

Prove your AI
can be trusted.

Deploy AI with confidence through machine-verifiable trust, continuous assurance, and audit-ready governance.

Sentrify is the independent trust layer that evaluates, certifies, and monitors AI agents before and during deployment.

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ISO 42001 Aligned · 94 controls · AWS Sydney residency

ISO 42001 Annex AAPRA CPS 234Privacy Act 1988ASIC RG 273+10 more standards
Australian data residency94 governance controls5-phase evaluation
app.sentrify.ai/dashboard
Dashboard
Northbridge Group
Good morning, Alex

Northbridge Group · Admin · 2 items require your attention

Avg. TrustScore™
62
AI Systems
3
↑ +1 this week
Eval Coverage
67%
Approved
33%
Needs Attention
2
Requires Attention2View all
Claims Triage AICritical risk · Rejected — rework required 41d
Policy AssistantHigh risk · Never evaluated 6d
RecentHighest Risk
View all ↗
NameStatusRiskRegistered
Policy Assistant
Chat
DRAFTHIGH09/09/2026
Support Copilot
Chat
APPROVEDLOW07/08/2026
Claims Triage AI
Workflow
REJECTEDCRITICAL05/08/2026
Risk Distribution
3systems
Low133%
Medium00%
High133%
Critical133%
Framework ComplianceManage
ISO 42001 Annex A41%
39 / 94 controls passed
Compliance Trend (30 days)
18 Aug25 Aug1 Sep8 Sep15 Sep
% of controls passed
Recent Activity
Alex registered new AI system
9m ago
Alex completed evaluation
22m ago
Alex uploaded evidence
45m ago
Alex approved AI system
68m ago
Illustrative screenshot using sample data.
94 — Governance controls evaluated
100% — Australian data residency
5 — Automated evaluation phases
6 — Regulated industries supported
The Problem

AI is moving faster than trust

Organisations are deploying AI into critical decisions — credit scoring, hiring, patient triage, and citizen services. But the processes for proving those systems are safe, fair, and compliant remain manual, fragmented, and dangerously slow.

"You can deploy AI in days. Proving it's safe, compliant, and trustworthy? That takes months."

Manual Governance

Spreadsheets, committees, and document trails that don't scale

Regulatory Exposure

Regulators like APRA, ASIC, AER, and TEQSA demand evidence you don't have

No Proof Layer

Assessments exist; verifiable, traceable assurance aligned to frameworks such as ISO 42001, the EU AI Act, and Aus Government AI Safety Standards does not

The Solution

Introducing Sentrify for measurable AI trust

Sentrify transforms AI governance from a manual, reactive process into a continuous, automated trust layer. Instead of documents, checklists, and committees — you get machine-verifiable trust with full traceability, from first registration to continuous post-deployment monitoring.

Spreadsheets + committeesContinuous automated trust layer
Point-in-time auditsReal-time evidence chain
Manual document reviewMachine-verifiable proof
Fragmented governance toolsUnified trust infrastructure
Reactive complianceProactive assurance

This is not just governance software. This is the trust layer that makes AI deployment safe to say yes to.

The Sentrify Platform

Four core layers. Eight integrated modules. One trust platform.

Layer 1

AI Registry & Inventory

See every AI system. Know every risk.

Register AI systems and agents across your organisation, capture ownership, use cases, and risk context, and maintain full lifecycle visibility from inception to decommissioning.

Learn more →
Differentiator
Layer 2

Evidence & Trust Layer

Turn governance into verifiable proof.

The Evidence Hub stores, versions, and integrity-hashes all governance artefacts — linking policies, controls, and documentation to specific AI systems with a confidence index based on completeness.

Learn more →
Layer 3

Automated Evaluation Engine

Test trust. Automatically.

Rule-based and LLM-assisted evaluation runs security, bias, and governance checks across your AI systems. Framework-aligned evaluation packs mean you test against the standards that matter to your regulators.

Learn more →
Layer 4

TrustScore™

The universal metric for AI trust.

A deterministic, pillar-weighted scoring engine that produces a single, auditable TrustScore (0–100) for every AI system — enabling risk-tier classification and deployment decision support.

Learn more →
How it works

From registration to
trusted deployment — in one platform

Six steps. Fully automated. Audit trail at every stage.

1

Register AI

Capture the AI system, its purpose, the data it uses, who owns it, and its initial risk classification.

2

Upload Evidence

Attach governance documentation, policies, bias assessments, security controls, and vendor records.

3

Run Evaluation

Run the five-phase evaluation: risk scoring, test plan and control evaluation. Every control is assessed through four layers: rules, LLM-assisted reasoning, evidence validity and adversarial probe packs.

4

Get TrustScore

Phase 4 of 5. Receive a deterministic TrustScore with a full pillar-by-pillar breakdown and risk-tier classification.

5

Generate Assurance Report

Phase 5 of 5. Produce an audit-ready assurance report with full evidence chain and traceability metadata.

6

Monitor Continuously

As the AI system evolves, Sentrify re-evaluates and updates the TrustScore — trust is never assumed, always proven.

Governance as Workflow

From committees to continuous governance

Replace static governance models — endless meetings, disconnected sign-offs, and document-based audit trails — with structured, automated governance workflows. Approval pipelines. Ethics review stages. Role-based decisioning. All in one platform.

RoleCapability
AdminFull governance control — configure frameworks, manage users, set organisational risk thresholds
ManagerEvaluation ownership and approval — run assessments, trigger reviews, approve AI for deployment
UserRead access and reporting — view TrustScore™ results, download reports, track status
AuditorIndependent verification — access full evidence chains, immutable audit logs, assurance certificates

Sentrify operates the service through a separate internal Platform Admin role, which is not a customer role.

Compliance Coverage

Every standard
that matters.

Sentrify's evaluation engine maps directly to the frameworks your regulators, boards, and auditors care about.

14
Governance frameworks
94
Automated controls
6
Regulated industries
100%
Australian data sovereignty
ISO 42001 Annex AAPRA CPS 234APRA CPS 230ASIC RG 273AML/CTF ActPrivacy Act 1988 (Cth)Australian AI Ethics FrameworkNSW AI Assurance FrameworkNHMRC Research EthicsTEQSA AI GovernanceHESF 2021ACL — Consumer AIEU AI ActNIST AI RMF

Applicable across regulated industries

Financial Services
Healthcare
Government
Legal & Compliance
Research
Higher Education
Trust Architecture

Built as infrastructure. Not bolted on.

Sentrify sits between your AI systems and the decisions those systems power. It's not a dashboard on top of your stack — it's the trust layer underneath it.

Input

AI Systems
Models
Agents

Sentrify Trust Layer

Evidence Layer
Evaluation Engine
TrustScore™ Engine
Reporting Engine
Immutable Audit Log

Output

Enterprise Decision-Makers
Regulators
External Auditors
End Users
Why Sentrify

Assurance you can defend.

Built for regulators and auditors, not just dashboards. Every score, every decision, every document — traceable, reproducible, and defensible.

Scoring

Deterministic TrustScore™

Pure math — zero LLM in the scoring path. Every score is pillar-weighted, fully reproducible, and traceable to the exact control results that produced it.

Architecture

Engine + versioned assurance packs

A domain-neutral evaluation engine paired with framework packs that are versioned and immutable once published. Every evaluation references the exact pack version it ran against — no ambiguity when standards change.

Planning

"What to Test" generator

An AI-recommended test plan generated from each system's risk profile before evaluation starts. Teams know exactly what to evaluate — no guesswork, no blank-page planning.

Red-Teaming

Adversarial testing built in

Versioned adversarial probe packs are bound to controls and executed as a fourth evaluation layer — structured red-teaming that produces a traceable, pack-versioned record alongside the control evaluation.

Auditability

Immutable evidence chain

SHA-256-keyed evidence content, integrity-hashed evaluation reports, and append-only audit logs. Built from the ground up to survive regulatory review and legal scrutiny.

How we compare

The Sentrify difference

Traditional GRCGeneric AI GovernanceSentrify
Manual processesSurface-level checksContinuous automated assurance
Static, point-in-timeNo audit traceabilityFull evidence chain with integrity hashing
Not AI-awareNo deterministic scoringTrustScore™ — transparent, auditable
Governance as paperworkOne-size-fits-allFramework-native, industry-specific
Slow to respond to changeNo lifecycle monitoringContinuous re-evaluation as AI evolves
From the Blog

Notes on Responsible AI

Practitioner perspectives on AI governance, audit-ready evidence, and the regulatory landscape shaping enterprise AI.

Cover of the AI Governance Checklist: 50 checkpoints for responsible AI deployment
Free download

AI Governance Checklist

50 checkpoints for responsible AI deployment: governance documentation, evidence requirements, control mapping and regulator-ready reporting. Built for Australian compliance contexts (ISO 42001, APRA CPS 230, TEQSA).

We'll email you the file and may follow up about Sentrify. You can unsubscribe at any time. See our Privacy Policy.

FAQ

Questions, answered.

TrustScore™ is a deterministic 0–100 governance-posture score produced after control evaluation. It is computed from control results using pillar-weighted math — no LLM is involved in the scoring path. Every score is fully auditable and reproducible, pillar by pillar.

Get Started

Don't deploy AI
without trust.

Every AI system you deploy carries risk. Sentrify makes that risk visible, measurable, and manageable — before deployment, and continuously afterwards.

No commitment required. See Sentrify evaluate a real AI system in a 30-minute demo.

APRA CPS 230 enforcement — 2026
Privacy Act ADM reforms — December 2026
TEQSA regulatory shift — 2026
Australian data residency — AWS Sydney