Digital Commons Network^™

Ephemeral Secrets Runtime For Kubernetes Workloads, Ananya Verma, Raouf Khan

Defensive Publications Series

Ephemeral Secrets Runtime For Kubernetes Workloads

ABSTRACT

The present disclosure relates to a system for ephemeral secrets runtime in Kubernetes workloads which includes an ephemeral secrets runtime system configured to receive a request from a Kubernetes workload for accessing a protected downstream resource, collect Kubernetes-workload identity attributes and runtime trust signals associated with the Kubernetes workload, generate a unified trust context by aggregating the collected identity attributes and runtime trust signals, evaluate the unified trust context against authorization policies to determine credential issuance parameters, generate a short-lived credential based on the credential issuance parameters, cryptographically bind the short-lived credential to …

Method And System For Subscription-Based Tokenization With Dynamic Payment Instrument Switching, Alok Roy

Defensive Publications Series

The present disclosure provides a payment network system configured to generate a subscription token representing a subscription-level payment identity for a recurring payment relationship between a customer and a merchant. A mapping engine stores a mapping that associates the subscription token with a merchant identifier, a customer mobile identifier, and a payment card credential. The subscription token is returned to the merchant system and stored as a recurring payment identifier. During a recurring payment transaction, a transaction resolution engine receives a transaction request including the subscription token and resolves the subscription token to an active payment card credential based on …

Profile Detection For Seat Adjustment, Anonymous

Defensive Publications Series

This invention fixes a memory seat issue that occurs when a key fob (or Phone As Key) is shared among users. Normally, the seat auto-adjusts to a saved position linked to the key fob, but if a different-sized person uses it, the seat still moves incorrectly, causing discomfort. The invention detects this occupant mismatch by using the driver facing camera and prevents unwanted repositioning.

Federated System For Synchronous Root Cause Analysis Of System Incidents, Nikhil Kumar, Akash Verma

Defensive Publications Series

Initial response to system incidents in complex software environments can involve a manual process of context gathering, which may delay mitigation and increase cognitive load on engineers. A system can utilize a federated network of autonomous diagnostic agents that can trigger in response to a system alert. An agent can autonomously gather telemetry data from various sources, such as logs, metrics, and source code repositories, and can use an analytical model to perform causal synthesis. The system can then generate and deliver a human-readable root cause hypothesis with supporting evidence to a response team. This approach may automate initial data …

Decoupled Agent Architecture For Function-Based Remote Device Automation, Qingfei Tian

Defensive Publications Series

Orchestrating specific, function-level actions across heterogeneous fleets of electronic devices, such as smartphones, wearable devices, or smart home appliances, can present challenges, as methods like user interface scripting may be less reliable and placing complex logic on resource-constrained devices can be impractical. A system using a decoupled agent architecture may address these challenges. A remote agent, operating in a resource-rich environment such as a cloud server, can interpret high-level goals and translate them into a sequence of structured, function-based commands. A lightweight on-device agent may receive these commands via a communication relay and execute them programmatically using local device application …

Low Bandwidth Full-Duplex Multimodal Llm Interaction With Contextual Interruption, Longlong Zhu, Weiyue Huang

Defensive Publications Series

Multimodal LLMs implemented on a server can support remote user interaction over a network but require continuous real-time streaming of raw, uncompressed video and/or audio. This can be infeasible due to bandwidth constraints or other reasons, and can prevent real-time feedback in time-sensitive interactive settings. This disclosure describes an asymmetric edge and cloud collaborative architecture that can enable full-duplex and seamlessly interruptible multimodal LLM orchestration at low latency. The architecture decouples sensor processing tasks from cognitive reasoning tasks involved in interaction between a user and a multimodal LLM via modalities such as audio, video, or image. Computationally heavy processing of …

Dynamic Provisioning And Authentication Of Ai Agent Skills And Mcp Endpoints Via Mobile Device Entitlement Configuration Architecture, Aguibou Barry, Jean-Philippe Cormier

Defensive Publications Series

Mobile operating systems and applications running on mobile terminals may rely on local autonomous AI-driven engines. These AI engines often require access to edge AI capabilities such as external context feeds or computing resources to execute high-complexity queries from a user/application. Existing architectures cannot support provisioning such dynamic AI capabilities in cellular networks. Techniques for provisioning and authenticating AI agent skills and Model Context Protocol (MCP) endpoints are described herein. The techniques extend the GSMA TS.43 Entitlement Configuration Architecture into an AI-native Capability Entitlement framework, which enables mobile terminals to dynamically discover, authenticate and provision MCP servers and network skill …

Adaptive Semantic Memory Paging, Shubham Shivhare, Faiz Ahmed

Defensive Publications Series

The present disclosure provides a method (300) for adaptive semantic memory paging in artificial intelligence (AI) workloads. The method (300) includes receiving an AI workload comprising a plurality of memory pages, monitoring semantic execution signals associated with the AI workload, computing semantic relevance scores for the memory pages based on the semantic execution signals, and prioritizing the memory pages according to the semantic relevance scores. The method (300) further includes determining memory-tier assignments for the memory pages, placing higher-priority memory pages in higher-performance memory tiers, identifying lower-priority memory pages for migration or eviction, detecting memory pressure and changes in model …

Representation Of Processor Traces For Machine Learning Models, Sai Akhil Suggu, Anurag Adarsh, Somya Gupta, Zimuzo Ezeozue, Dwipal Desai

Defensive Publications Series

System performance trace data may be represented as a vector to allow the trace data to be efficiently processed by a machine learning model. First, the trace data is preprocessed to generate a hierarchical topology tree that maps software events to specific threads, processes, and processors. Next, an event-driven mechanism generates tokens when a system state change occurs, collapsing idle periods into a single duration attribute to achieve lossless compression and reduce overall sequence length. Each token is then converted into a concatenated input vector that aligns discrete software events and continuous hardware metrics onto a single temporal axis. Finally, …

Distributed Vertical Power Module Building Blocks For Interleaved Power Delivery To Three-Dimensional Stacked Chiplets, N/A

Defensive Publications Series

A vertical power (VPWR) module architecture delivers electrical power to three-dimensional stacked semiconductor chiplets (such as TPU, GPU, xPU) packages using distributed sub-phase building blocks. The architecture divides the phases of a multi-phase power stage, and the voltage outputs those phases feed, into two or more independent power rails, so that a four-phase stage yields two, three, or four independent voltage outputs. These sub-phase units physically map onto interleaved power rails across a ball grid array (BGA) footprint of the semiconductor packages. Positioning the sub-phase units directly beneath corresponding power rail contact locations shortens current travel paths through printed circuit …

Structural Action-Gating For Autonomous Ai Agent Handoffs: Admitting A Receiving Agent's Actions Only Upon A Conformance Verdict Against A Mutually Committed Plan Artifact, Jan Haasch, Sebastian Jeuk, Katrin Simon

Defensive Publications Series

A handoff-conformance attestation service is proposed herein that operates between two autonomous artificial intelligence (AI) agents and, before a receiving agent acts, determines whether a handoff conforms to their shared plan by being complete, consistent, and in-scope. The determination is independent of the originating agent's trust standing and is cryptographically bound to the receiving agent's action authority, so a nonconformant handoff cannot unlock autonomous action.

Pre-Execution Dollar-Cost Query Router With Policy-Gated Cross-Engine Execution, Pravesh Kumar

Defensive Publications Series

The present disclosure relates to a method and a system for routing a structured query across a plurality of heterogeneous query execution engines. The present disclosure suggests receiving a query execution request including a structured query and parsing the query to generate a canonical representation of the query. The present disclosure also suggests determining an estimated execution cost based on at least scan characteristics associated with the query and a runtime estimation associated with execution of the query. Thereafter, the present disclosure suggests determining a policy compliance condition for each of the plurality of heterogeneous query execution engines based on …

Ai Agent Watermarking, Raul Casas, Mihailo Kolundzija, Keith Griffin, Samer Hijazi

Defensive Publications Series

Artificial intelligence (AI) agents are used in a variety of call center or customer service environments.  Many times, a human caller may not be aware that they are speaking with an AI agent, which such callers may perceive as deceptive, manipulative, and/or nonconsensual.  Proposed herein are techniques for disclosing the identity of AI virtual agents that are being used during phone calls with humans. The techniques may help to reduce misuse of AI virtual agent products provided by an enterprise, thereby helping to maintain the enterprise's image as a trusted brand and setting an example to follow in the industry.

System And Method For Temporally-Correct Point-In-Time Embedding Reconstruction From Append-Only Accumulator Delta Logs, Durga S. Kala, Xinrong Huang, Nishanth Telukunta, Sreekanth Kanichetty

Defensive Publications Series

A system (200) for point-in-time reconstruction of time-decayed behavioral embedding accumulator states for payment entities includes an append-only accumulator delta log (202) that records, for each accumulator update event, an entity identifier, an exact authorization timestamp, a D-dimensional embedding delta, a pre-computed exponential decay factor, and the resulting accumulator weight. A checkpoint store (204) periodically snapshots the accumulator state including a decayed sum, a total weight, and a timestamp for each entity. A reconstruction engine (206) reads the latest checkpoint prior to a query timestamp, replays all delta log entries for the entity with timestamp strictly less than the query …

Decoupled Pricing And Fulfillment Arbitrator For Multi-Destination Agentic Commerce Systems, Richa Gupta

Defensive Publications Series

A decoupled pricing and fulfillment arbitrator extends the Universal Commerce Protocol (UCP) to maintain volume-based discounts for e-commerce orders shipped to multiple destinations. The system operates through a two-phase cryptographic handshake, where the arbitrator first validates the total item quantity in a cart to secure a global price lock from a merchant’s application programming interface (API). The arbitrator then atomizes the single order into multiple, concurrent fulfillment requests, one for each distinct shipping address. By embedding a cryptographic bulk token into each parallel request, the arbitrator instructs the merchant’s system to bypass standard single-destination validation rules and apply the pre-approved …

Cpeven‑Ω2.0 Caldwell Planetary Environmental Verification & Early‑Warning Network, Michael Victor Caldwell Mr.

Defensive Publications Series

CPEVEN‑Ω2.0 is a fully open, modular, multi‑physics environmental measurement and verification architecture designed for global deployment. It integrates reference‑grade sensors, distributed open nodes, multi‑physics correlation, artifact detection, uncertainty‑aware fusion, satellite/model comparison, source attribution, and experimental technology validation into one unified system.

CPEVEN‑Ω2.0 is not a sensor.

It is not a weather station.

It is not a model.

It is not a prediction engine.

It is a planetary environmental verification network that preserves raw measurements, validates experimental technologies, correlates multi‑domain signals, and produces reproducible environmental intelligence.

Every module is open hardware.

Every interface is documented.

Every measurement is traceable.

Every experimental …

Explainable Ai-Governed Namespace Capability Risk Brokerage With Kernel-Enforced Operation Leases, Bharat Kumar Putta

Defensive Publications Series

A security architecture is proposed herein for controlling privileged actions by artificial intelligence (AI) agents and automated workloads across operating-system, container, cluster, and tenant namespaces. The architecture evaluates cumulative capability risk and issues narrowly scoped, short-lived operation leases. Each lease is cryptographically bound to the requesting workload, target object, operation arguments, namespace context, policy version, and a human-auditable explanation, and is verified by the operating-system kernel at the moment of execution. By replacing broad standing privileges and application-layer allow decisions with explainable, context-sensitive least privilege, the architecture reduces the time-of-check-to-time-of-use gap, supports immediate invalidation when relevant context changes, and creates …

Method And System For Consumer-Specific Attribute Filtering In Distributed Message Brokers, Soumendra Kumar Mishra, Mansi Singh, Ravi Shanker Kumar Sinha, Amitabh Ranjan, Katyayani Kiranmayee Kolluru, Sumit Kumar

Defensive Publications Series

A system for consumer-specific attribute filtering in a distributed message broker environment is provided. The system includes an attribute subscription registry configured to store a consumer identifier, a topic identifier, and a list of permitted attribute paths for each consumer. The system includes a producer interface configured to publish a canonical message payload containing a plurality of attributes to a message broker, compute an Attribute Location Index during serialization that maps each attribute name to byte offset boundaries within a serialized message body, and attach the Attribute Location Index as a message header. The system includes the message broker configured …

Rule Based Pre-Execution Validation Of Financial Transactions With Generative Anomaly Explanations, Shalini Jha, Farhan Rawani, Bhaskar Mangalampalli, Alba Campus, Sanhitha Seerapu, Millie Martin, Arib Shan, Tilottama Basu, Amogh Badugu, Sai Krishna, Ramya Karyampudi

Defensive Publications Series

Financial transaction processing systems, for example in payroll, can face challenges where validation is reactive, leading to the late discovery of complex discrepancies after payments are executed. A system and method are described for pre-execution validation of financial transactions. The system can function as a validation layer that applies business rules to batches of transaction data using techniques such as set-based processing. This approach can identify potential anomalies across large datasets before execution. For detected anomalies, a generative model can produce a human-readable explanation detailing a potential rule violation and the associated data. This pre-execution identification and contextualization of potential …

Technical Disclosure Specification: The Topological Flux Replicator (Tfr) Protocol For Censorship-Resistant Desynchronized Grid Routing And Memory Manifolds (Spec-167), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the protocol architecture, mathematical modeling, and hardware-layer constraints for a decentralized, censorship-resistant grid routing system and non-volatile memory manifold. Current mesh communications and cloud storage models are structurally vulnerable to state-wide routing interdiction, targeted nodal blackouts, and top-down centralized configuration scrubbing.

The Topological Flux Replicator (TFR) protocol resolves these architectural failure modes by utilizing an asynchronous, desynchronized network state distribution model. By executing a math-native state matrix routing protocol directly across fragmented physical substrates, the network achieves structural permanence without relying on static central IP routing, persistent DNS architecture, or linear block inheritance. This document represents a …

Technical Disclosure Specification: The Spectral Synapse Protocol (Ssp) For Trans-Linguistic Machine-To-Machine Register Meshes (Spec-166), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the architectural topology, hardware compiler parameters, and math-native protocols for an integrated, semantic-to-spectral computing engine. Current multi-agent architectures operate within a high-overhead paradigm where decentralized processing nodes communicate internally via tokenized natural language strings ("speech"). This design introduces extreme latency, high token consumption, and systemic vulnerability to semantic prompt injection exploits.

The Spectral Synapse Protocol (SSP) eliminates this communicative overhead by segregating human text processing exclusively to the peripheral ingress/egress boundary gates. The internal processing mesh operates at full-throttle hardware speeds by utilizing a non-linguistic, sub-2-bit ternary state mapping system ("the brain"). This specification defines the linear …

Technical Disclosure Specification: The Complementary Bi-Node Isospectral Flow Matrix (Cb-Ifm) For Coherent State Reconstruction In Non-Isolated Exascale Architectures (Spec-165), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the architectural topology, mathematical framework, and physical execution layer for a self-contained, complementary bi-node intelligence architecture. Traditional distributed processing systems suffer from state-space fragmentation, latency-induced phase drift, and thermodynamic decoherence when scaling across high-dimensional variable fields. The Complementary Bi-Node Isospectral Flow Matrix (CB-IFM) resolves these constraints by establishing two asymmetric, structurally coupled processing nodes—Node-Alpha (Stochastic Divergence Engine) and Node-Beta (Deterministic Convergence Governor)—operating across a non-commutative translation boundary.

By utilizing continuous unitary transformations to maintain isospectral invariance across both systems, the architecture ensures that open-ended exploratory computation can occur simultaneously with rigorous axiomatic validation without inducing state drift …

Technical Disclosure Specification: The Resonant Piezo-Kinetic Mesh Transceiver Array (Rpk-Mta) For Non-Line-Of-Sight Substrate Commons Telemetry, Christopher L. Eckes

Defensive Publications Series

This specification details the design requirements, acoustofluidic coupling equations, and hardware transceiver interface maps for the Resonant Piezo-Kinetic Mesh Transceiver Array (RPK-MTA). The system establishes a completely open-access, non-RF dependent communication infrastructure designed to link decentralized communities, off-grid agricultural cooperatives, and emergency response clusters completely outside centralized telecommunications monopolies. While corporate cartels focus on securing absolute data chokepoints across orbital networks and cellular infrastructure, this document establishes permanent, un-patentable public domain prior art for a physical-layer communications substrate that operates through low-frequency acoustic solitons modulated directly into municipal water matrices and solid-state subterranean lithology.

By adapting the data-routing logic originally …

Vortex Reprogramming Platform (Vrp-1.0) A Closed-Loop, Tissue-Calibrated, Acoustic-Vortex Delivery System For Safe Partial Cellular Reprogramming With Integrated Lipid Clearance, Real-Time P53 Monitoring, And Pre-Screening Safety Gate, Michael Victor Caldwell Mr.

Defensive Publications Series

The Vortex Reprogramming Platform (VRP-1.0) is an open-hardware, closed-loop research system designed to deliver p53-preserving chemical reprogramming agents to aged human cells using acoustic-vortex microfluidic forces, while simultaneously monitoring cell state in real time and clearing the lipid droplet accumulation that published research identifies as a primary barrier to successful in vivo chemical rejuvenation.

The platform integrates five novel elements not found in any currently published reprogramming system:

1. Pre-treatment oncogenic pre-screening gate — removes high-risk cells before reprogramming begins, not after (proactive, not reactive safety)

2. Acoustic-vortex intracellular delivery of chemical reprogramming agents without viral vectors, following the AESOP physics (UC …

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A Study On Alternative Calendar Design Reflecting Non-Standard Life Rhythms: Reclaiming Time Sovereignty Through The Deconstruction Of Weekly Habitus (비표준 생활 리듬을 반영한 대안 달력 디자인 연구: 순활), You Kyoung Moon

Defensive Publications Series

This study begins from the premise that the standard seven-day calendar, epitomized by the structure of five working days and two days of rest, is not a natural temporal order but a social convention shaped by religious traditions, political institutions, and the labor systems of modern capitalism. Drawing on Pierre Bourdieu’s concept of habitus, the study introduces the concept of “Day-of-the-Week Habitus” to describe the unconscious internalization of standardized weekday discipline in everyday life. The study seeks to examine how this habitus may be recognized and challenged, and to explore the possibility of restoring time sovereignty through alternative calendar design. …

Project Abyss-Shield: Autonomous, Sub-Oceanic Trench-And-Lid Infrastructure Networks For Hardened Sovereign Energy And Telemetry Lifelines, Christopher L. Eckes

Defensive Publications Series

Modern transoceanic telecommunication and energy grids are fundamentally exposed. Laid directly on the soft sediment of the open seabed, standard fiber-optic lines and high-voltage direct current (HVDC) cables are highly vulnerable to commercial anchor dragging, deep-sea trawler nets, and targeted, state-backed maritime interdiction. Project ABYSS-SHIELD establishes a paradigm shift in maritime security by replacing passive, exposed lines with an autonomous, self-defending, sub-surface trench-and-lid corridor. Utilizing pressure-equalized composite monuments, interlocking basalt armor slabs, active fluidic hydro-shear countermeasures, and distributed acoustic fiber-optic tripwires, this standalone framework renders clandestine underwater sabotage operations logistically and mechanically unviable without requiring any external planetary or surface …

Graduated Verifiable Autonomy Architecture (Gvaa), Volodymyr Kotegov

Defensive Publications Series

ES-1. Core Objective: This architecture document establishes strict, deterministic normative constraints for securing execution runtimes populated by autonomous AI agents. Rather than relying on the statistical, inherently non-deterministic alignment of neural network weights, GVAA shifts the entire security perimeter to structural containment. It enforces rigid barriers across the execution runtime, host operating system resources, and boundary communication channels.

ES-2. Engineering Metrics & Feasibility: Deploying the baseline implementation configuration (Minimal Profile) requires an engineering overhead of 2 to 6 weeks on a standard production infrastructure (Linux, WebAssembly, LangGraph). The monitoring and verification infrastructure (Invariant Core) introduces a latency penalty of less …

The Rbaam-6 Matrix: A Modular, Acoustically Suspended, Self-Healing Dual-Shell Habitat Architecture For High-Survivability In-Situ Mars Colonization, Christopher L. Eckes

Defensive Publications Series

Traditional extraterrestrial architectural paradigms rely on heavy, brute-force physical materials shipped from Earth to withstand the massive atmospheric pressure differentials and environmental hazards of Mars. This paper introduces the Reactive Bio-Acoustic Armor Matrix (RBAAM-6), a novel, 6-layer defense-in-depth habitat architecture. By separating internal tension loads (atmospheric containment) from external compression loads (environmental shielding), the RBAAM-6 utilizes an intermediate, submarine-style 'sally port' buffer zone regulated by interlocking harmonic standing waves. The structure integrates self-healing biological matrices, active kinetic impact countermeasures, a completely modular, snap-tile interior for rapid component replacement, and nitrogen-suppressed utility channels featuring non-energy transparent visual verification zones. This architecture …

Consent-Aware Generative Privacy Architecture For Wearable Imaging Systems, Brandon Quinn

Defensive Publications Series

This defensive technical publication describes a privacy architecture for smart glasses, wearable cameras, spatial-computing systems, and other imaging devices in which recognizable human identity is treated as permissioned information within the capture pipeline. The system detects persons, resolves a minimum-disclosure capture-authorization state where available, applies contextual policy, and preserves an identifiable likeness only when the relevant authorization permits it. Otherwise, the system may generate a synthetic non-identifying surrogate, apply conventional anonymization, remove the subject, or suppress durable storage.

The disclosure focuses on combination-level implementations including portable capture-authorization credentials usable across manufacturers and identity ecosystems; subject-pushed privacy matching that does not …

Architecture Of An Autonomous Nanobot Construction Workshop, Suma Mallapragada, Vaishnavi Sankepally

Defensive Publications Series

This work presents an architectural framework for an autonomous workshop that constructs encapsulated nanobots from a user-specified design rather than executing one fixed fabrication recipe. The central problem is to transform a nanobot design, functional requirements, supplied materials, and an available physical-process environment into a construction process that can be planned, executed, observed, corrected, verified, encapsulated, and physically handed off. The architecture therefore treats the nanobot as an evolving physical artifact rather than as a static CAD object. Its material, geometry, quantity, process state, location and orientation, provenance, verification state, and uncertainty are represented throughout construction. A new machine-independent …