datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Execution-Finality-Enforcement-for-AI-Agents-AI-Native-Telecom-Financial-Systems
Identity Is Not Authority: Execution-Finality Enforcement for AI Agents, 6G, Financial, Digital, and Autonomous Systems
Non-Routable, Non-Bearer Virtual Identity Bound to a Protected Compliance Jurisdiction Structure, Exact-Act Validation, LAVR, Execution Handle, and Finality Sink Verification
Author: Sangam DasTechnical domain: AI security, agentic AI, trusted computing, execution governance, digital identity, 6G/telecommunications, financial infrastructure… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/Execution-Finality-Enforcement-for-AI-Agents-AI-Native-Telecom-Financial-Systems.tool_use-Is-Not-invoke-Binding-Execution-Finality-to-MCPProblem Space :-
AI agents increasingly use tools, APIs, MCP servers, databases, payment systems, messaging platforms, cloud services, and device functions to create real-world side effects. Existing authorization often answers whether an agent, user, or service is allowed to invoke a function or access a resource, but that permission may be broader than the specific action eventually executed. An agent permitted to call refund() may still attempt refund(Customer B, $30,000) when the intended… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/tool_use-Is-Not-invoke-Binding-Execution-Finality-to-MCP.Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo
Dataset Description
The architecture addresses a structural gap in modern AI and autonomous systems: the separation between computation and external consequence. Existing protocols and controls (identity, access control, encryption, logging, policy engines) govern movement, authentication, and recording of data. They do not, by themselves, make the transition from a generated act to an externally effective act a protected technical precondition.
This dataset provides a clean… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo.Hardware-Rooted-AI-HALLUCINATION-FINALITY-STOPPING-UNSAFE-AGENT-ACTS-BEFORE-EFFECTUATION
AI Hallucination Finality Layer
Stopping hallucinated, stale, and unsafe agent acts before they become external consequences.
Computation does not imply consequence.
## Abstract
Artificial intelligence is rapidly moving from generating information to causing consequences.
AI agents can now initiate payments, modify databases, deploy software, send communications, call external tools, change network configurations, control infrastructure, update models, and… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/Hardware-Rooted-AI-HALLUCINATION-FINALITY-STOPPING-UNSAFE-AGENT-ACTS-BEFORE-EFFECTUATION.FINALITY-CHECKPOINT-REGISTRY-FOR-AI-AUTONOMOUS-SYSTEMS
DAS Protocols: Execution Finality Architecture for AI & Critical Infrastructure
Complete Technical README & FAQ
Executive Summary
The DAS Protocols (Distributed Attestation & Scoping) provide a pre-effectuation verification architecture that prevents unauthorized or out-of-scope operations from becoming consequence-bearing before validation occurs. Unlike post-event auditing or advisory permissions, this architecture makes operations structurally… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/FINALITY-CHECKPOINT-REGISTRY-FOR-AI-AUTONOMOUS-SYSTEMS.Computation-Is-Not-Authority-Execution-Finality-Architecture-for-AI-and-Machine-Generated-Acts
Computation Is Not Authority: Execution-Finality Architecture for AI and Machine-Generated Acts
Output-Bound Protected Validation Evidence, Candidate Act Descriptors, Scoped Non-Bearer Capabilities, Anti-Bypass Closure, and Finality Sink Verification
Author: Sangam DasTechnical domain: AI security, agentic AI, trusted computing, execution governance, cybersecurity, cloud computing, telecommunications, financial systems, robotics, industrial control, and… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/Computation-Is-Not-Authority-Execution-Finality-Architecture-for-AI-and-Machine-Generated-Acts.