BivectorAI · Platform Evidence Assurance

Sensor Assurance Evidence Review

Review supplied integrity and redundancy evidence without presenting an internal safety label as certification.

Who this is for

Sensor-integration leads, autonomy assurance teams and industrial technical reviewers evaluating multi-sensor evidence.

The problem you already have

A multi-sensor state can look healthy even when integrity and redundancy evidence disagree

Part 79 provides direct multi-sensor sensor-integrity lineage. For this product, that supports reviewing whether the supplied integrity, redundancy and threat evidence remains internally coherent instead of collapsing several conflicting indicators into one safety-like label.

Redundancy can hide correlated weakness instead of providing independent support

Several sensors can appear redundant while sharing the same failure, stale-state or threat condition. A bounded review keeps disagreement, weak independence and unresolved integrity conditions visible for qualified human review.

Sensor-assurance evidence must remain separate from actuation and certification authority

The supported assessment works from a bounded sensor-state package only. Live sensor control, vehicle/equipment actuation and external safety-certification authority remain customer-owned and outside the engagement.

Real-World Operational Scenario: The Redundant Sensor Set That Failed the Same Way

Scenario: Several sensors appear to agree, but the supporting evidence shows that two share the same stale input or threat condition, leaving the apparent redundancy weaker than it first looked.

The assurance team needs to know whether the sensor state is genuinely supported by independent evidence or whether the internal safety-like classification should be marked review-required.

WITHOUT this gate: agreement across several channels can be mistaken for strong redundancy even when the evidence is correlated or internally inconsistent.

WITH this gate: integrity, redundancy, disagreement and threat evidence are reviewed together. The result remains an assurance artifact for qualified human review and does not command equipment or certify external safety status.

What BivectorAI Provides

Sensor-Integrity Consistency Review

Reviews whether the supplied sensor-state evidence remains coherent for the exact integrity question being assessed.

Redundancy Independence Review

Uses Part 79 technical lineage to surface cases where apparently redundant sensors may share the same weakness, stale state or unsupported dependency.

Threat / Conflict / Review-Required Screening

Flags contradictory, degraded or threat-affected evidence that should qualify the returned assurance finding or trigger deeper validation.

Human-Owned Safety & Control Boundary

Returns bounded sensor-assurance evidence while live control, equipment actuation, external safety certification and certified SIL claims remain outside scope.

Prove the Gate Before Broader Integration

Back-test the sensor-integrity gate against frozen historical or synthetic multi-sensor cases with known expert disposition.

Freeze the accepted integrity fields, redundancy relationships, threat evidence, disagreement criteria and review thresholds before revealing the reference disposition. Broader integration is justified only if the same bounded contract reproducibly separates stronger sensor states from correlated, conflicting or review-required cases. This is a proposed validation methodology, not external safety certification or proof of SIL compliance.

What you provide

A bounded sensor-state package containing the minimum integrity, redundancy and threat evidence required for review.

What BivectorAI actually hands you

Sensor-integrity findings

A bounded finding tied to the exact supplied sensor-state package and agreed integrity question.

Redundancy & threat evidence

A concise record of supporting, correlated, contradictory or threat-affected evidence relevant to the review.

Review-required conditions

An explicit list of degraded, conflicting or unsupported conditions that require qualified human follow-up.

Bounded input-linked assurance artifact

A retained evidence artifact tying the returned findings and limitations to the exact supplied sensor state.

What we will never ask you for

Sensor assurance often sits close to live control, actuation and formal safety processes. This engagement is limited to the supplied evidence needed for review, leaving control authority and certification decisions outside the service.

  • Live sensor-control authority.
  • Vehicle or equipment actuation.
  • Safety-certification authority.
  • A claim that internal safety levels constitute certified SIL status.

How it actually runs

01
Agree the decision question, evidence scope and claim boundary.
02
Provide only the minimum bounded evidence required for that scope.
03
Run the agreed assessment within the supported scope; anything outside that scope is rejected rather than inferred.
04
Receive findings with explicit limitations, human-owned follow-up and validation requirements.

Start with a bounded evaluation

Fixed scope / quoted per engagement. Inputs, outputs, evidence boundary and acceptance criteria are agreed before work begins.

We do not open with an annual license. If the bounded sensor review does not establish that the assurance evidence is useful for the agreed integrity question, there is no reason to move into a broader commercial commitment.

Commercial engagement
On request
Discuss a fixed-scope evaluation
Evidence and deployment boundary.

Internal safety classifications are assessment evidence only and must not be represented as external safety certification.