Subtitle: Securing Cognitive Safety for Next‑Generation Software Through Attested Atomic Facts
The Special Implementation Plan for the “AI + Software” Initiative issued by the Ministry of Industry and Information Technology (MIIT) calls for advancing intelligent transformation in software development, enabling intelligent upgrades for software products and services, and accelerating the cultivation of new‑form agent‑based software. Meanwhile, it strengthens open‑source infrastructure capabilities for supply‑chain security governance, exploration of emerging scenarios and overseas market deployment. It aims to grow national‑level AI open‑source communities into sources of innovation for emerging technologies.
Agents represent the core paradigm of next‑generation software, endowed with capabilities for autonomous perception, memory retrieval, logical reasoning and task execution. Nevertheless, the industry largely focuses on iterative improvements to model performance while overlooking underlying risks within information ingestion pipelines. Unregulated open‑web content abounds with conflicting and tampered materials, and knowledge bases are vulnerable to poisoning contamination. These issues give rise to model hallucinations, cognitive drift and non‑auditable outputs, constituting critical bottlenecks holding back large‑scale deployment and trustworthy commercial delivery of agents. Omnieyes · Trust Archive, built upon the KUCR Four‑Layer Validation Algorithm and the MDSE Meta‑Driven Casting System, establishes an atomic‑fact attestation foundation, filling the key gap of cognitive safety for AI software and intelligent agents.
I. Empowering the New Agent‑Software Paradigm with Trustworthy Fact‑Adjudication Capabilities
The special initiative identifies agent‑based software as a priority growth area, encouraging benchmark‑application development and the advancement of Agent‑as‑a‑Service (AaaS) models. Omnieyes functions as a trusted‑memory substrate and fact‑adjudication gateway for agents, re‑engineering conventional open‑access retrieval workflows. Instead of directly ingesting raw web‑sourced text, agents invoke attested, archived and tier‑validated atomic facts supplied by Omnieyes when fetching external information.
Each fact entry comes with a complete chain of evidence, version history and trust rating to support full‑cycle audit and traceability, mitigating risks of fact tampering and data poisoning at the source. These capabilities can be packaged into standardised verification plug‑ins and exposed as Fact‑Verification‑as‑a‑Service. This aligns with the industrial trajectory of Agent‑as‑a‑Service and underpins the construction of benchmark agent projects across sectors.
II. Supporting Intelligent Software Upgrades by Embedding TrustOps Workflows into AI‑Software R&D
The plan promotes intelligent retrofitting of existing software and the development of AI‑augmented programming tools to enhance the supply of critical software. Omnieyes can serve as a trusted‑validation middleware deeply embedded across the full lifecycle of AI‑driven software.
For industry‑specific large models, government‑enterprise knowledge bases and RAG applications, it delivers conflict arbitration, authenticity verification and semantic normalisation of source materials. For intelligent development platforms and code‑generation utilities, it enables trusted lookup of entity credentials and public facts to reduce factual errors in documentation and code outputs. By implementing TrustOps cognitive‑governance pipelines, factual‑trust verification becomes a non‑negotiable pre‑release gate check for AI software, systematically improving reliability across intelligently‑enhanced software products.
III. Underpinning Open‑Source‑Ecosystem Development and Fortifying Cognitive‑Safety Defences for AI Supply Chains
The special initiative places strong emphasis on improving open‑source‑infrastructure supply‑chain security governance to foster high‑quality open‑source‑community growth. Open‑source datasets and public knowledge bases form core raw material for AI software. Dataset contamination and factual distortion represent insidious, high‑impact risks within open‑source ecosystems.
Omnieyes delivers fact‑attestation and auditing tooling for open‑source projects and datasets, enabling open‑source communities to conduct trusted dataset cleansing and risk labelling. For software and agents targeting overseas deployment, it provides self‑controlled factual benchmarks that mitigate narrative bias introduced by external knowledge bases. This safeguards cognitive sovereignty and supports robust global expansion for domestic AI software.
IV. Consolidating Trustworthy Fundamental Resources and Supplying Meterable, Traceable Ground‑Truth Materials
High‑quality, attested datasets constitute foundational resources for the “AI + Software” industry. Omnieyes’ atomic‑fact system implements credential‑driven attestation and maintains multi‑tier ground‑truth repositories graded by confidence level. It supplies compliant, traceable retrieval and training materials for AI‑software and agent projects. Market participants may additionally claim ownership over trust assets, consistent with long‑term objectives for data‑element entitlement delineation and value metering, and alleviating industry‑wide shortages of high‑quality datasets.
V. Co‑Building Trust‑Evaluation Systems and Quantifiable Metrics for AI Cognitive Trustworthiness
Upholding principles of security‑by‑design and ecosystem collaboration, the plan advances the development of industrial standards and evaluation frameworks. Omnieyes has developed the proprietary AI Four‑Dimensional Trust Index and the CDI Cognitive‑Drift Index. These translate abstract “AI trustworthiness” into quantifiable metrics suitable for assessing trusted performance in intelligent software and vertical‑sector agents. Omnieyes may also participate in formulating supporting evaluation specifications and group standards. For government entities and listed‑enterprise clients, it delivers commercial‑grade trust safeguards to mitigate public‑opinion and reputational risks stemming from AI‑generated public‑facing responses.
Conclusion
The “AI + Software” wave is gathering momentum. Industrial focus is gradually shifting from pure model‑capability exploration toward trustworthy, controllable large‑scale rollout. Omnieyes does not build agents itself. Instead, it operates as trusted infrastructure for agents to consume attested facts, continuously delivering auditable atomic‑fact capabilities and safeguarding the cognitive foundations for next‑generation AI software.
Wikipedia and Baidu Baike serve human reference; Omnieyes · Trust Archive establishes credibility for AI.
