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For CISOs & GRC leaders — SaaS, fintech, healthcare, manufacturing

Autonomous Trust is the evolution from periodic, audit-centric compliance to continuously verified, AI-assisted trust operations.

Sprinto’s Trust Maturity Model helps organizations like yours understand where they are today and what capabilities they need to build next.

LIVE CONTROL FEED — LEVEL 4 SIMULATION OK Evidence auto-generated for SOC 2 · CC6.1

Observe → Verify → Act → Prove → Learn — on repeat

The ladder

Five levels, one climb

Every program sits somewhere between spreadsheet-driven audits and policy that adapts itself. Select a level to see what it actually looks like day to day.

Reactive Project-based, manual

Automated Machines do the fetching

Intelligent AI starts interpreting signal

Autonomous The platform runs the routine

Trust-Native Trust is how the business runs

L1 / 05

Reactive

Compliance happens in bursts, driven by the calendar rather than by the state of your controls.

Annual or periodic audits
Evidence collected manually
Controls checked before audits
Spreadsheet-driven tracking
Trust is point-in-time

20% toward Trust-Native

L2 / 05

Automated

Automation removes the busywork, but people still orchestrate what trust means and when it’s checked.

Automated evidence collection
Cloud integrations
Continuous monitoring for some controls
Dashboards and workflows
Compliance automation becomes operational

40% toward Trust-Native

L3 / 05

Intelligent

The system stops just reporting status and starts telling you what matters and why.

AI identifies gaps and recommends remediation
Control health monitored continuously
Risk prioritization based on context
Predictive alerts
rust becomes continuously visible

60% toward Trust-Native

L4 / 05

Autonomous

Routine trust operations execute themselves. Humans step in for exceptions, not for every checkbox.

Controls continuously verified
Evidence generated automatically
Routine drift remediated automatically or with approval
Audit readiness is continuous
Humans focus on exceptions

80% toward Trust-Native

L5 / 05

Trust-Native

Trust is embedded in how the business operates, not maintained alongside it. Audits stop being an event.

Trust embedded into engineering and business workflows
Policies adapt with changing context
Executives have real-time trust visibility
Customers experience continuous assurance
The org rarely prepares for audits — it’s always ready

100% toward Trust-Native

Maturity climb

% progress toward Trust-Native, by level

The matrix

Five dimensions, mapped to every level

The column highlighted below tracks whichever level you’ve selected above — same data, cross-referenced.

Dimension	L1	L2	L3	L4	L5
Visibility	Manual	Partial	Continuous	Real-time	Predictive
Automation	None	Task automation	AI assistance	Outcome automation	Self-optimizing
Control Validation	Periodic	Scheduled	Continuous	Autonomous	Predictive
Evidence	Manual	Auto-collected	Contextual	Continuous	Always available
Decision Making	Human	Human-led	AI-supported	Human supervised	Policy-driven

Growth across all five dimensions

Click any circle to step that dimension forward, from Reactive to Trust-Native

Visibility

Manual

Automation

None

Control Validation

Periodic

Evidence

Manual

Decision Making

Human

North star An organization reaches Autonomous Trust when trust is continuously measured, continuously maintained, and increasingly self-improving — humans define policy and govern exceptions, while software does the rest.

01 observes 02 verifies 03 acts 04 proves 05 learns

Where does your organization sit on the ladder?

Most GRC teams already know the answer — they just haven’t had it mapped out in one place.

Talk to a trust architect Download report (PDF)

Autonomous Trust Maturity Model — prototype landing page Built for compliance & risk leaders evaluating continuous trust programs

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SOC 2

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