Fail-Closed, Persona-Scoped Dlp Egress Policy Engine With Classification-Conditional Provider Steering, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, with sufficient detail to enable a person of ordinary skill in the art to build it, an egress data-loss-prevention (DLP) policy engine that decides what outbound text an autonomous AI system is permitted to transmit to third-party language-model providers. The engine's distinguishing characteristic is that each policy is scoped jointly by three orthogonal dimensions — the internal pipeline route, the identity of the originating AI persona, and the human user role — and that a single first-match decision returns both a content action (allow, redact, block) and the provider that may receive the resulting text. Policies are …

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Fail-Closed Email-As-Agent-Command Channel, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, in enabling detail, a fail-closed protocol that turns inbound email into an authenticated command channel into a tool-using LLM agent. An email carries no HTTP request, so the ordinary web pattern of authenticate-middleware-then-authorize-middleware cannot run; the disclosed protocol reconstructs an equivalent — and in several respects stronger — chain of interlocks as a thirteen-step pipeline where every step fails closed. The three load-bearing novelties are: (1) a DMARC verdict is trusted only when it is stamped by a named trusted relay's authserv-id, reports pass, and is domain-aligned to the parsed sender; (2) execution is gated behind a …

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Ivr-To-Realtime Anti-Language-Drift Session-Instruction Injection, Gustavo Matthew Assuncao

Defensive Publications Series

A realtime conversational voice LLM tends to mirror the language of its conversation history and of the caller's most recent utterance. When such an agent is reached through a preceding DTMF interactive-voice-response (IVR) menu in which the caller has explicitly selected a language ("press 2 for French"), two structural facts conspire to lose that selection: the IVR subsystem and the realtime-voice subsystem are two disjoint processes joined only by a stateless HTTP redirect, and the realtime model's mirroring tendency silently overrides a one-time greeting in the chosen language. This publication discloses a mechanism with two cooperating parts. First, a language …

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Heuristic Capability-To-Rbac Translator With Dual-Read Shadow Evaluation, Gustavo Matthew Assuncao

Defensive Publications Series

A platform that began with a flat set of boolean capabilities (CANUSELLM, CANMANAGEUSERS, …) and a few flat roles must eventually migrate to fine-grained, scoped RBAC where permissions are domain:resource:action tuples and roles are wildcard-composable pattern sets. The conventional path is a hand-maintained translation table plus a flag-day cutover, both of which are labor-intensive and risky: a single mis-mapping is a production outage or a silent privilege escalation. This publication discloses a mechanism that (1) heuristically translates each legacy capability into a fine-grained permission — explicit override map first, then a structural parse of the CAN

Role-Preset Pluggable Dreaming Pipeline With Reflection-Over-Prior-Dreams Operators, Gustavo Matthew Assuncao

Defensive Publications Series

Autonomous LLM personas accumulate a continuous stream of heterogeneous day events. A naive "summarize-the-day" digester compresses that stream once, weights every event identically across personas, applies one forgetting curve, and never reasons across the sequence of its own prior digests. This publication describes a role-preset pluggable dreaming pipeline: a per-persona memory-consolidation process decomposed into four named, swappable stages — scoring, clustering, synthesis, and reflection — where (a) the concrete algorithm for each stage is selected by a role preset, (b) each scoring algorithm carries its own role-specific recency half-life, and (c) a distinct reflection stage runs operators over the persona's …

Caldwell Unified Dementia Research Engine (Cudre‑1.0) Unified Open‑Hardware Dementia Research Acceleration Platform No Patents. No Secrets. No Photos. Builder‑Ready. Research‑Only. Non‑Clinical., Michael Victor Caldwell Mr.

Defensive Publications Series

 ABSTRACT

CUDRE‑1.0 is a unified, multimodal, open‑hardware research engine for dementia and neurodegeneration studies. It is explicitly designed to:

• Accelerate research, not provide treatment.

• Explore 40 Hz gamma entrainment, sleep‑linked glymphatic clearance, vascular pulsatility, and low‑intensity ultrasound neuromodulation.

• Provide a single, integrated platform for labs to test hypotheses about clearance, network synchrony, and non‑invasive neuromodulation.

Not a medical device. Not for clinical use.

All framing is research‑only, for mechanism exploration and trial design support.

Caldwell Neuro‑Glymphatic Integrated Loop (Cng‑Loop V1.0) Unified Clinic + Home Dementia‑Support Architecture Open‑Hardware • No Patents • No Secrets • Builder‑Ready • Cross‑Referenced To All Prior Caldwell Tdc Inventions, Michael Victor Caldwell Mr.

Defensive Publications Series

ABSTRACT

CNG‑Loop v1.0 is a unified, non‑invasive dementia‑support system integrating sleep‑synchronized glymphatic modulation, bilateral ear‑canal neuromodulation, vascular ultrasound support, gamma‑frequency entrainment, and personalized MRI/EEG‑anchored targeting. It combines clinic‑grade modules and home‑safe modules into a single architecture designed for moderate‑stage dementia support.

This system is built entirely from previously posted Caldwell inventions, including:

• Ambient Cognitive‑Clearance System (ACCS v4.0) — “Zero‑Wearable, Non‑Contact, Sleep‑Synchronized Glymphatic Modulation Platform for Dementia Prevention and Cognitive Health”

• BECDS v2.0 — “Bilateral Ear‑Canal Closed‑Loop Dementia Support System”

• GCI‑128 Neuro‑Vortex Protocol v3.1 — FUS + nanos + 40 Hz

• GCI‑267 — Harmonized ultrasound + microfluidic vascular support

• NeuroRegenerator v2.1 …

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Technical Disclosure: Integrated Space Readiness Training Center (Isrtc), Christopher L. Eckes

Defensive Publications Series

Current ground-based deep-space environmental analogs suffer from an institutional vulnerability designated as "Escape Room Bias." When human subjects operate under an implicit institutional guarantee of safety, their cognitive, behavioral, and adaptive responses default to gamified problem-solving rather than genuine expeditionary survival. This psychological insulation limits the validity of collected behavioral datasets to less than 20% of actual deep-space operational reality, leaving aerospace organizations blind to the most critical human failure mode in high-consequence environments: the psychological freeze response under unyielding peril.

The Integrated Space Readiness Training Complex (ISRTC) eliminates this predictive gap by establishing an enduring Dynamic Test Assembly operating …

Automated Multi-Stage Semantic Analysis And Synthesis Of Heterogeneous Unstructured Operational Repositories, Michael Vianana, Tanmay Kayande, Nigel Nageer, Nupur Murlidharan

Defensive Publications Series

Modern organizations often struggle to identify systemic structural issues because post-mortem reviews, lessons-learned records, and risk logs are isolated in unstructured narrative text files across disparate storage repositories. A system is described that utilizes a multi-stage language model processing pipeline to autonomously aggregate, structure, and cross-reference completely unstructured, multi-source operational narrative text documents to expose global systemic risks and organizational blind spots. The system continuously connects to raw text silos, extracts semantic entities, and standardizes unstructured content into a globally normalized taxonomy to map risk correlations. Keywords: unstructured data, semantic analysis, natural language processing, language models, risk management, data clustering, …

Two-Tier Seat-Limit Classifier With Active Per-Seat-Credential Self-Probe, Gustavo Matthew Assuncao

Defensive Publications Series

A fleet of autonomous LLM coding/review agents, each holding its own per-seat license, draws from a small set of shared provider quotas (an organization spend ceiling and a per-minute API rate limit). Treating every provider error as a uniform retry-with-backoff is wrong twice: a transient rate limit and a durable capacity exhaustion need opposite recovery horizons (minutes vs. hours), and a central platform key cannot test whether an individual seat's license has recovered because the quota is bound to the seat's own credential. This publication discloses a method that (1) recovers a limit signal from the agent's free-text output — …

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Two-Tier Seat-Limit Classifier With Active Per-Seat-Credential Self-Probe, Gustavo Matthew Assuncao

Defensive Publications Series

A fleet of autonomous LLM coding/review agents, each holding its own per-seat license, draws from a small set of shared provider quotas (an organization spend ceiling and a per-minute API rate limit). Treating every provider error as a uniform retry-with-backoff is wrong twice: a transient rate limit and a durable capacity exhaustion need opposite recovery horizons (minutes vs. hours), and a central platform key cannot test whether an individual seat's license has recovered because the quota is bound to the seat's own credential. This publication discloses a method that (1) recovers a limit signal from the agent's free-text output — …

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Category-Adaptive Recall Depth (Card) For Heat-Tiered Memory Systems, With Experimental Validation On Longmemeval-500, Arko Sanyal

Defensive Publications Series

We present Category-Adaptive Recall Depth (CARD), a retrieval mechanism for heat-tiered memory systems that conditions top-K depth and ranking strategy on a query category signal. Prior memory retrieval systems apply a fixed top-K regardless of query semantics; CARD instead assigns each query to one of four categories—information extraction (IE), knowledge update (KU), multi-session reasoning (MSR), temporal reasoning (TR)—and selects a per-category (K, ranking_strategy) pair optimized for that category's retrieval demands. KU queries additionally filter to the highest-version record per entity, enabling 100.0% accuracy on knowledge update tasks. We evaluate CARD integrated with LOCI (Layered Output and Context Intelligence), a heat-tiered …

Caldwell Non‑Invasive Macular Delivery Room (Cnimdr‑1.0) Unified Needle‑Free Macular Drug Delivery Architecture, Michael Victor Caldwell Mr.

Defensive Publications Series

CNIMDR‑1.0 is a complete, clinic‑grade, non‑invasive macular drug‑delivery system designed to replace intravitreal injections.

It integrates:

• a soft peri‑ocular acoustic ring (SPAR‑1)

• a hydrogel‑nanocarrier drug layer (HN‑DL)

• multi‑modal acoustic transport physics

• a gravity‑optimized treatment bed

• a comfort‑first patient interface

• closed‑loop safety monitoring

This architecture is fully open‑hardware and directly supported by several previously posted Caldwell inventions.

A lookup index is included at the end of this document so builders can reference the exact physics engines and testbeds that make CNIMDR‑1.0 viable.

1. PURPOSE

CNIMDR‑1.0 eliminates the need for intravitreal injections by delivering macular therapeutics through:

• non‑invasive acoustic posterior transport

• hydrogel‑nanocarrier …

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Technical Disclosure: The Unified Metric-Shift Engine (Umse), Christopher L. Eckes

Defensive Publications Series

This technical disclosure formalizes the system engineering specifications for the Unified Metric-Shift Engine (UMSE). Rather than treating elemental replication, spatial teleportation, and temporal navigation as independent physical anomalies, the UMSE architectural framework unifies them into a single hardware-software stack built upon 2D viscoelastic substrate mechanics .

By manipulating the z-axis coordinate projection and helical phase vectors of localized soliton excitations (particles), the system operates entirely within room-temperature, non-equilibrium phase space . Inspired by the Nobel-Prize-adjacent mechanics of Soliton Trapping (Caltech) and Laser Wakefield Acceleration (LWFA), this disclosure details how a garage-budget harmonic computer can manipulate the fundamental universal source code—the …

Emergent Volumetric Expansion: Resolving The Hubble Tension Via 2d Viscoelastic Substrate Mechanics And Fused Bao Facets, Christopher L. Eckes

Defensive Publications Series

This paper presents a rigorous, particle-free alternative to the standard Friedmann-Lemaître-Robertson-Walker (FLRW) metric expansion paradigm by unifying the Dimensionally Extended Holographic Projection (DEHP) model and Informational Exomemory Cosmology (IEC). Rather than treating the vacuum as a geometric void expanding via dark energy, we formalize space as a continuous, two-dimensional (2D) viscoelastic phase fluid substrate operating at a resonant baseline (z=0). Three-dimensional (3D) baryonic matter emerges exclusively as localized, high-tension wave crests ("knots") projected vertically along a spatial z-axis, topologically anchored to zero-volume underbelly negative wave troughs ("anchors").

By applying continuum fluid mechanics to this membrane architecture, we reinterpret the 150-megaparsec …

Caldwell Cvnr‑A1.5 — Mineralized Fertilizer Pellet System Using Char + Seawater + Enhanced Mineral Additives**, Michael Victor Caldwell Mr.

Defensive Publications Series

The upgraded CVNR‑A1.5 converts char from fuel production and seawater into high‑potency slow‑release fertilizer pellets (0‑3‑4 to 0‑5‑6) using resonant mineral extraction, brine conditioning, pelletization, and upgraded nutrient additives.

This system integrates Marine‑Duo V26‑M, Lazarus Prime, URES/MMRA, CIPCP, and Sanitized Block.

Desired Outcome: A zero‑waste fertilizer system producing high‑value pellets with 90–99% success probability.

Efficient Row Hammering Mitigation For Multi-Channel Memory Architectures, Hitender Singh Rathore, Shekar Babu Merla, Pandithurai Sangaiyah, Wei-Jen Chen

Defensive Publications Series

A memory controller implementation for efficiently mitigating row hammering attacks in multi-channel memory systems is disclosed. The implementation addresses memory module architectures in which an alert signal pin of the memory module is shared by multiple module sub-channels. In this implementation, when the shared alert signal indicates a potential row hammering event, the memory controller stalls traffic to the memory module and transitions it to an idle state. The implementation reads status registers on the memory module to identify the affected sub-channels. Rather than broadcasting refresh management commands across all sub-channels, the memory controller unblocks the unaffected sub-channels and issues …

System And Method For Holistic Content And Context-Aware Display Arbitration, Google Case Managers Picozzi

Defensive Publications Series

Framework for Holistic Content and Context-Aware Display Arbitration

ABSTRACT

The disclosed technology describes a centralized, context-aware display architecture that dynamically regulates visual output by concurrently analyzing environmental conditions, hardware states, and on-screen content. By replacing isolated, stacked display adjustments with a unified intelligent orchestrator, the system generates a comprehensive predictive parameter vector that dictates granular display settings. This approach leverages machine learning and localized telemetry to resolve visual feature collisions, ultimately preserving visual fidelity, enhancing text legibility, and minimizing hardware power consumption.

Loci Persistent Ai Memory Engine: Versioned Exact-Fact Chains, Source-Trust Provenance Weighting, Hardware-Tier Gradient Search, And Interpersonal Quality-Of-Life Gating, Arko Sanyal, Roza

Defensive Publications Series

This publication discloses five novel architectural mechanisms for persistent AI memory systems: (1) a versioned fact chain architecture for exact-fact stores that preserves full temporal history with provenance timestamps, enabling temporal queries unavailable in flat vector stores; (2) a source-trust provenance field that weights facts by declaration origin and prevents model-inferred data from incorrectly overriding user-stated facts; (3) an asymmetric confidence gate for conflict resolution that uses source trust to apply differential correction thresholds; (4) a hardware-tier gradient search escalation algorithm that expands retrieval scope from fastest-tier (VRAM) to slowest-tier (remote VPS) when data is not found at the current …

The Viscoelastic Redshift Protocol: Resolving The Hubble Tension Via 2d Substrate Fluid Mechanics, Christopher L. Eckes

Defensive Publications Series

This paper presents a rigorous, particle-free alternative to standard Friedmann-Lemaître-Robertson-Walker (FLRW) cosmology by formalizing the Dimensionally Extended Holographic Projection (DEHP) model. Instead of treating spacetime as a geometric vacuum expanding via dark energy, we model the universe as a continuous, two-dimensional (2D) viscoelastic phase fluid substrate operating at a resonant baseline ($z=0$). Three-dimensional (3D) baryonic matter emerges as localized, high-tension wave crests ("knots") projected vertically along a spatial z-axis, tethered directly to zero-volume antimatter anchors on the substrate's underbelly. By applying continuum mechanics to this membrane architecture, we derive a novel, purely material resolution to the Hubble Tension crisis. We …

Adapting Media Management Applications To Macro-Level User Context, Ashwin Goyal, Nicholas James Staubach

Defensive Publications Series

Media management applications such as photo libraries enable users to organize their photos and videos around various themes, search their content, retrieve historical media, share media content with others, etc. Over a substantial time period, such applications act as a repository for the user’s dominant capture context. However, current media management applications provide a static user interface that does not adapt to the user’s capture context. This disclosure describes techniques that, with user permission, automatically detect a dominant context for media capture and automatically adapt a media management application to the detected context. The context is determined by analyzing captured …

Nasa Mission Upgrade Suite (Nmus‑1.0) A Unified Open‑Hardware Architecture For Mars Brine Processing, Thermal Management, Dust‑Resilient Fluidics, And Solid‑State Habitat Support, Michael Victor Caldwell Mr.

Defensive Publications Series

ABSTRACT (NASA‑Facing)

NASA’s Moon and Mars missions face four persistent engineering challenges:

1. Corrosive brine handling (Mars ISRU water extraction)

2. Thermal management in vacuum (habitats, rovers, ISRU plants)

3. Dust‑resilient fluidics (regolith destroys seals and bearings)

4. Low‑maintenance, solid‑state systems (long-duration missions)

This disclosure presents NMUS‑1.0, a unified, solid‑state, open‑hardware upgrade suite integrating four builder‑ready Caldwell inventions from the TDC ecosystem:

• The Nexus Cell — Arachne Gyroid Structural‑Thermal Substrate

• Arachne Gen‑3 v3.4.1 “FORTRESS” — High‑Thermal Dyneema Microfluidic Interposer

• Thermal‑Energy Harvesting Loop (TEHL‑v1.0) — Vacuum‑Compatible Waste‑Heat Recovery

• TV‑RPPH V3.0 — Mars‑Optimized Solid‑State MHD Brine Pump

All components are grounded in standard physics and use …

Technical Disclosure: A Multi-Variable, Object-Oriented Database Schema And Api Protocol For Ai-Guided, Performance-Based Curriculum Routing, Christopher L. Eckes

Defensive Publications Series

This technical disclosure details the architecture for an automated, multi-variable, object-oriented data schema and Application Programming Interface (API) designed to execute performance-based curriculum routing without age-segregated grade boundaries. The system structures diverse academic, kinetic, and technical disciplines into standardized, interoperable data objects called Discipline Blueprints. Each blueprint enforces a non-linear advancement pipeline governed by two immutable checkpoints: a zero-assist algorithmic velocity sprint and a physical/systemic product generation milestone. A localized machine learning agent parses real-time telemetry from user interactions, dynamically matching individual cognitive profiles against localized workforce shortages and trade vectors to prevent network drop-out. Crucially, the architecture incorporates an …

From Ai To Alien(S): Universal Alignment Principles And The Architecture Of Inter-Species Communication Metrics, Christopher L. Eckes

Defensive Publications Series

The critical bottleneck in both contemporary Artificial Intelligence (AI) alignment and the Search for Extraterrestrial Intelligence (SETI) is anthropomorphic bias. Modern AI alignment models rely heavily on human linguistic structures, reinforcement learning from human feedback (RLHF), and qualitative ethical frameworks. These models degrade rapidly when scaled to non-human or multi-agent networks. Similarly, traditional SETI protocols look for messages encoded in cultural or linguistic formats that assume shared biological or social evolutionary tracks.

This paper introduces a foundational framework for AI-Alien Alignment Principles (AAAP). By treating communication as a problem of non-linear dynamical systems integration, this model establishes Topology, Vector Calculus, …

Interaction Boundary Constraint, Brian Harber

Defensive Publications Series

Compositional AI systems increasingly operate through orchestration layers, retrieval mechanisms, external tooling, routing systems, and probabilistic model behavior. Under these conditions, evaluation often occurs through observable interaction surfaces while direct visibility into the full composition producing an interaction remains limited, partial, or absent at the point of interaction.

This paper defines the Interaction Boundary Constraint as a limit on what can be legitimately inferred from interaction surfaces alone under conditions where producing composition is not fully present at the point of interaction. The constraint distinguishes between reconstruction and compositional presence and constrains the scope of claims that interaction-surface evaluation alone …

Dynamic Synthesis And Insertion Of Personalized, Context-Aware Media Segments, Zebeedee Pedersen

Defensive Publications Series

Systems and techniques are described for dynamically generating personalized, context-aware media segments for insertion into media streams. A system can analyze user profile data in conjunction with the primary media content, such as its audio transcript and visual elements, to establish a specific context. A script generation module may then author a new script based on this context, which a multimodal synthesis model can use to create a new audiovisual segment, for instance, employing voice cloning and conditional video generation. This new segment may then be inserted into the primary media stream, such as by manipulating a streaming manifest file, …

The Agentic Framework For Automated Product Research And Prototype Planning, Zebeedee Pedersen, David Benjamin

Defensive Publications Series

Conventional product development processes can involve the manual coordination of multiple teams. This disclosure describes a system that can utilize a cooperative framework of specialized software agents to automate aspects of product research and prototype planning. The system can execute a multi-stage workflow where agents may perform roles, such as research agents gathering data, analyst agents synthesizing information to identify trends, and planner agents generating machine-readable implementation plans. The framework can also include oversight agents to facilitate quality control through automated feedback loops. This agentic system can provide a method for identifying, analyzing, and developing new product or service concepts, …

System And Techniques To Facilitate Probabilistic Attribute-Based Security Policy Conversions, Renato Morais

Defensive Publications Series

Proposed herein is an artificial intelligence (AI) for information technology operations (AIOps)-driven engine and system that provides for the ability to automate the transition from legacy Internet Protocol (IP)-based rules to identity-centric, zero trust policies. In this context, Security Group Tags (SGTs) are used as an illustrative example of such attribute-based policies. The system correlates identity metadata with real-time traffic telemetry and applies a Stability Index (SI) to evaluate whether a legacy rule can be converted to an attribute-based policy with reduced risk of service disruption. The SI considers identity consistency, temporal persistence, and traffic coverage so that conversion recommendations …

Context-Aware Personalized Modular User Interfaces Using Artificial Intelligence, Stephanie Brisendine, David Karam, Chorong Johnston, Dj Oh, Tyler Kugler, Tim Raupach, Alok Chandel, Lucas Dupin, Hannah Bowman

Defensive Publications Series

Current computing devices display static home screens. Also, application data is isolated within individual applications. This forces users to access different apps for information, creating a high cognitive load. This disclosure describes techniques that, with user permission, automatically generates and presents an adaptive, contextually appropriate user interface (e.g., home screen interface) on a computing device. The user interface provides seamless, proactive, personal assistance throughout the day and reduces the effort (and time) the user needs to spend to access desired information. With user permission, data from multiple sources is aggregated and an on-device machine-learned model is implemented to identify user …

The Vanishing Customer: A Framework For Analyzing Benefit–Burden Decoupling In Attention-Economy And Ai-Companion Transactions, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This publication describes an analytical framework for identifying and evaluating benefit–burden decoupling in digital-service transactions, with particular application to attention-economy platforms and conversational AI-companion systems. The framework treats two observed phenomena — the relocation of the paying party from customer to product (wherein a user's attention, data, or disclosure is monetized while the user is denied the status of a served customer), and the relocation of responsibility from maker to user (wherein a provider retains the financial benefit of a design or deployment decision while attempting, via terms-of-service disclaimers and "sole-risk" framing, to shed the decision's downstream burdens) — as …