Sentinel Memory™

Patent-Pending Architecture for Context-Aware, Selective Event Capture

Executive Thesis

As AI systems move into real-world perception environments, continuous recording models become structurally unsustainable.

Sentinel Memory™ introduces a control architecture that determines — in real time — which contextual events warrant preservation as memory.

Not all signals become records.
Not all moments become evidence.

Capture becomes governed.

The Structural Risk in Current Models

Modern AI platforms increasingly rely on persistent input streams:

  • Always-on microphones

  • Passive visual sensors

  • Continuous conversation capture

  • Ambient environmental monitoring

This model creates systemic exposure:

  • Over-capture and regulatory risk

  • Indiscriminate data retention

  • Storage and compute inefficiency

  • Weak defensibility in post-incident review

  • Lack of capture authority logic

Most platforms detect.
Few platforms decide.

The Sentinel Memory™ Architecture

Sentinel Memory™ operates at the perception layer and introduces:

  • Context-aware recording determination

  • Policy-bound capture thresholds

  • Event-triggered selective preservation

  • Governance-layer justification logic

  • Audit-aligned decision traceability

The architecture enables AI systems to answer:

Why was this moment recorded?
Why were others not?

This shifts capture from passive logging to controlled authorization.

Integration Alignment

Designed for architecture-level integration across:

  • Wearable AI and smart glasses

  • Hearing and perception technologies

  • Conversation intelligence platforms

  • Enterprise compliance systems

  • Security and evidentiary capture environments

The system adapts to platform constraints while preserving governance logic.

Strategic Implications

Sentinel Memory™ enables:

  • Liability-conscious AI deployment

  • Insurance-aligned capture frameworks

  • Regulatory defensibility

  • Trust differentiation in consumer and enterprise markets

  • Reduced noise in AI memory systems

Selective capture becomes a competitive advantage.

Status

Patent Pending
Systems and Methods for Context-Aware Selective Memory Capture, Sensory Event Governance, and AI-Driven Recording Determination

Licensing and integration discussions available.