Agentic Trust Framework
Specification · Maturity Model

Agents Earn Autonomy. They Don't Get It By Default.

Four levels, from Intern to Principal. An agent moves up only after it proves it can be trusted at the level below, and it can be moved back down.

The levels map one-to-one onto the AWS Agentic AI Security Scoping Matrix (Nov 2025), so the model lands on a reference enterprises already use.

The progression
01
Intern
Observe + report
02
Junior
Recommend + approve
03
Senior
Act + notify
04
Principal
Autonomous in bounds
ATF levelOperating modeHuman involvementMin. time
Internmaps to AWS Scope 1 (No Agency)Observe + ReportContinuous oversight2 weeks
Juniormaps to AWS Scope 2 (Prescribed Agency)Recommend + Human ApprovesApproval required for all actions4 weeks
Seniormaps to AWS Scope 3 (Supervised Agency)Act + NotifyPost-action notification8 weeks
Principalmaps to AWS Scope 4 (Full Agency)Autonomous Within BoundsStrategic oversight, edge case escalationOngoing
01

Intern

Observe + Report

AutonomyRead-only
Minimum time2 weeks
AWS scopeScope 1
Can
  • Read data from authorized sources
  • Analyze and process information
  • Generate reports and summaries
  • Flag items for human attention
  • Answer questions about data
Cannot
  • Create, update, or delete records
  • Send communications
  • Trigger workflows or automation
  • Access credentials or secrets
Governance requirements at this level
ElementWhat must be in place
IdentityBasic authentication, role assignment, audit logging
BehaviorComprehensive action logging, output review
Data GovernanceInput validation, PII detection, output filtering
SegmentationRead-only resource access, strict allowlists
Incident ResponseCircuit breaker, kill switch, human escalation
Typical use cases
  • Security log monitoring and alert triage
  • Customer sentiment analysis
  • Document summarization and search
  • Data quality assessment
  • Compliance monitoring and reporting
Risk profile

Lowest risk. Intern agents cannot cause direct harm through action. Risks limited to information disclosure, incorrect analysis, and resource consumption.

02

Junior

Recommend + Human Approves

AutonomySuggestions only
Minimum time4 weeks
AWS scopeScope 2
Can
  • All Intern capabilities
  • Generate action recommendations
  • Provide reasoning for recommendations
  • Draft content for human review
  • Prepare transactions for approval
  • Execute actions after human approval
Cannot
  • Execute autonomously
  • Approve other agents
  • Modify security settings
Governance requirements at this level
ElementWhat must be in place
IdentityOAuth2/OIDC for approval workflows, session context
BehaviorBehavioral baseline, anomaly flagging, reasoning capture
Data GovernancePrompt injection detection, output validation, data lineage
SegmentationAction allowlists, transaction limits, rate limiting
Incident ResponseAutomated alerting, basic rollback, approval queue pause
Typical use cases
  • Customer service response drafting
  • Purchase order preparation
  • Meeting scheduling assistance
  • Code review and suggestions
  • Marketing content creation
Risk profile

Low risk. Human approval gates all impactful actions. Risks include approval fatigue, incorrect recommendations, and queue backlogs.

03

Senior

Act + Notify

AutonomyExecutes within guardrails
Minimum time8 weeks
AWS scopeScope 3
Can
  • All Junior capabilities
  • Execute approved action types autonomously
  • Send notifications to stakeholders
  • Trigger downstream workflows
  • Access credentials within scope
  • Coordinate with other agents (within limits)
Cannot
  • Modify own permissions
  • Override security controls
  • Escalate other agents
Governance requirements at this level
ElementWhat must be in place
IdentityAttribute-based access, just-in-time privileges, mutual TLS
BehaviorReal-time anomaly detection, sequence analysis, intent drift detection
Data GovernanceFull data classification, source verification, lineage tracking
SegmentationPolicy-as-code enforcement, temporal boundaries, cascade prevention
Incident ResponseIsolation capability, checkpoint/resume, graceful degradation
Typical use cases
  • Infrastructure auto-scaling
  • Automated customer refund processing (within limits)
  • Routine IT ticket resolution
  • Inventory reordering
  • Scheduled report distribution
Risk profile

Moderate risk. Autonomous execution creates exposure. Mitigated by real-time notifications, transaction limits, cumulative limits, and graceful degradation.

04

Principal

Autonomous Within Bounds

AutonomySelf-directed within domain
Minimum timeOngoing
AWS scopeScope 4
Can
  • All Senior capabilities
  • Self-directed execution within domain
  • Dynamic boundary negotiation (within policy)
  • Escalate edge cases to humans
  • Coordinate complex multi-agent workflows
  • Request temporary privilege elevation
Cannot
  • Modify governance policies
  • Promote other agents
  • Operate outside defined domain
Governance requirements at this level
ElementWhat must be in place
IdentityHardware-bound identity, full policy-as-code, privilege attestation
BehaviorContinuous scoring, real-time explanation, autonomous escalation
Data GovernanceSource trustworthiness scoring, full lineage graphs, regulatory compliance
SegmentationFull microsegmentation, real-time policy evaluation, dynamic boundaries
Incident ResponseAutomated detection/containment/recovery, novel incident escalation
Typical use cases
  • Algorithmic trading within risk parameters
  • Autonomous security incident response
  • Complex supply chain optimization
  • Self-healing infrastructure management
  • Multi-system business process automation
Risk profile

Highest governance requirements. Full autonomy demands maximum controls: continuous monitoring, real-time anomaly scoring, complete audit trails, and regular security validation.

§ 5

The Five Promotion Gates

Promotion is not a judgment call. An agent clears five gates, each with explicit criteria per target level. Everything below is evidence someone has to produce.

Gate 1

Performance

Demonstrated accuracy and reliability over the evaluation period.

Criterion→ Junior→ Senior→ Principal
Minimum time at level2 weeks4 weeks8 weeks
AccuracyN/A>95%>99%
Availability>99%>99.5%>99.9%
Response time SLAMetMetMet
Gate 2

Security Validation

Passes a security audit appropriate to the target level.

Criterion→ Junior→ Senior→ Principal
Vulnerability assessment
Penetration testing
Adversarial testing
Code review
Configuration audit
Gate 3

Business Value

Measurable positive impact demonstrated.

Criterion→ Junior→ Senior→ Principal
Defined success metrics
Baseline established
Improvement demonstrated
ROI calculation
Stakeholder sign-off
Gate 4

Incident Record

Clean operational history at the current level.

Criterion→ Junior→ Senior→ Principal
Zero critical incidents
Minor incidents resolved
Root cause analysis completeN/A
Remediation verifiedN/A
Gate 5

Governance Sign-off

Explicit approval from authorized stakeholders.

Criterion→ Junior→ Senior→ Principal
Technical owner approval
Security team approval
Business owner approval
Risk committee approval
Documentation updated
Required Not requiredN/A — not applicable at this step
§ 6

Demotion

The part most maturity models leave out. Trust is checked continuously, so an agent that stops earning its level loses it.

TriggerResult
Critical incident at current levelImmediate demotion to Intern
Security vulnerability discoveredDemotion pending remediation
Repeated minor incidents (3+ in evaluation period)One level demotion
Performance metrics fall below thresholdReview-based demotion
Scope or purpose changes significantlyReview-based demotion
Underlying model or system changesReview-based demotion
§ 7

Review Cadence

Continuous verification has a schedule. These are the recurring checks that keep a level honest.

ReviewFrequency
Performance reviewWeekly
Security scanWeekly
Promotion eligibility checkMonthly
Full security auditQuarterly
Governance reviewQuarterly
Penetration testAnnually (Senior+)
Why it's continuous

An agent's model, data, and environment all change after deployment. A level granted once, on evidence gathered once, stops being true. The cadence is what makes "continuous verification" an operating practice instead of a slogan.