SentriAI Feature

Trust That Adapts to What It Learns

Static rules never change; adaptive trust does - but deliberately. Three deterministic triggers record an adaptive signal only when something meaningful happens, so the record stays sharp instead of noisy.

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SentriAI · Adaptive Trust
TRIGGERS
3
deterministic
SIGNALS TODAY
12
meaningful only
LOW-RISK NOISE
0
suppressed
learned_escalation - verdict moved upsignal
identity_anomaly - low confidencesignal
high_risk_review - reviewed CORTEX decisionsignal
Clean low-risk decisionno signal
adaptive_signals_from_envelope()deterministic

Illustrative product view

What adaptive trust is

Adaptive Trust Intelligence is governance that responds to what it has learned - but on purpose, not indiscriminately. adaptive_signals_from_envelope() fires exactly three deterministic triggers: learned_escalation (the learn loop moved a verdict up the ladder), identity_anomaly (identity resolution flagged anomalies or low confidence), and high_risk_review (a human reviewed a high-risk CORTEX decision). Clean low-risk decisions emit nothing.

The three triggers

TriggerFires whenWhy it matters
learned_escalationThe learn loop moved a verdict up the ladderHistory changed the decision
identity_anomalyIdentity anomalies or low confidence appearWho is acting is uncertain
high_risk_reviewA human reviewed a high-risk CORTEX decisionA consequential decision was examined
(clean low-risk)NeverAvoids ledger flooding
When an adaptive signal fires

Decision DNA and adaptive memory

Adaptive trust is the outward name for a deeper adaptive memory - Decision DNA - that lets governance carry forward what it has seen. Paired with the learn loop and the enterprise trust score, it means the system’s posture reflects accumulated experience rather than resetting on every decision, while the three-trigger discipline keeps that adaptation legible.

  • Adapts posture based on learned outcomes and identity signals
  • Records adaptive signals only on the three meaningful triggers
  • Suppresses noise from clean, low-risk decisions
  • Keeps the adaptation deterministic and explainable

How it connects

Adaptive trust sits at the confluence of three engines: the learn loop supplies learned_escalation, identity resolution supplies identity_anomaly, and Trust CORTEX supplies the high-risk decisions whose review triggers high_risk_review. It is how those signals become a lasting, deliberate change in how trust is applied.

Frequently asked questions

What is adaptive trust?

Adaptive Trust Intelligence is governance that adapts to what it has learned, recording an adaptive signal only on three deterministic triggers: a learned escalation from the learn loop, an identity anomaly or low confidence from identity resolution, and the human review of a high-risk CORTEX decision. Clean low-risk decisions emit nothing.

Why does it only fire on three triggers?

To avoid flooding the ledger. An adaptive system that reacts to every decision produces so much noise that the signals become worthless. Restricting adaptive signals to three meaningful triggers keeps them rare and worth attention, and keeps the adaptation legible and deterministic.

What is Decision DNA?

Decision DNA is the adaptive memory behind adaptive trust - the mechanism that lets governance carry forward what it has seen rather than resetting on every decision. Adaptive Trust Intelligence is the external name for how that memory, the learn loop, and the enterprise trust score combine.

Is adaptive trust the same as the learn loop?

They are related but distinct. The learn loop adjusts trust from past outcomes and can escalate a verdict; adaptive trust is the layer that records a signal when that escalation - or an identity anomaly, or a reviewed high-risk decision - happens. The learn loop is one of the three sources adaptive trust listens to.

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Let trust adapt, deliberately

Record adaptive signals only when something meaningful actually happens.

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