THE SECURE FUTURE OF DIGITAL INTELLIGENCE: A TWO‑STAGE AUTHORIZATION MODEL AND THE DUAL SECURITY PROTOCOL KEY (DSPK)
Foreword
This work presents a forward‑looking architectural approach designed to ensure secure data access and transaction authorization in an era where digital intelligence systems are becoming deeply integrated into everyday life. The proposed Dual Security Protocol Key (DSPK) model extends beyond the capabilities of existing security keys by introducing a multi‑layered hardware‑based framework that incorporates a personal API core. Combining user consent with hardware‑anchored transaction validation reshapes how digital authority should be defined and controlled in the future.
This analysis establishes the theoretical foundation for a next‑generation authorization model—one capable of surpassing the limitations of today’s digital assistant systems.
Digital intelligence systems are no longer mere information tools; they have evolved into structures that support decision‑making, perform data analysis, and interact across a wide spectrum of domains. This expansion raises a critical question: ‘Within what boundaries should digital intelligence be authorized, and how can these boundaries be secured?’ The two‑stage model presented in this work provides a comprehensive answer to this question.
1) Stage One: User‑Approved and Controlled Data Access
Application Programming Interface (API) infrastructures provided by platforms form the basis of authorized data access for digital intelligence systems. An API is a standardized interface that enables different systems to communicate securely. At this stage, digital intelligence may only read data, analyze it, and provide insights to the user.
Platforms such as Gmail, Spotify, and Google Drive offer read‑only API access. These interfaces allow digital intelligence to process data but do not grant any authority to perform actions. This analysis aims to go beyond the limitations of these existing APIs by defining a secure, hardware‑anchored authorization model for critical domains such as finance, healthcare, and logistics.
In this stage, digital intelligence cannot perform actions. It may only read, analyze, and offer recommendations. All actual transaction authority is deferred to hardware‑based verification, defined in Stage Two.
2) Stage Two: Hardware‑Based Transaction Authorization
When digital intelligence proposes an action, execution requires confirmation from a physical security key. This confirmation may be provided by a YubiKey‑like device, biometric authentication, or similar hardware solutions. This approach represents one of the most secure transaction‑verification methods available today.
3) Dual Security Protocol Key (DSPK): The Personal Security Core of the Future
The Dual Security Protocol Key (DSPK) surpasses the single‑layer verification logic of traditional security keys by introducing an independent personal API core that stores the user’s security rules, transaction limits, platform profiles, and accessibility parameters. DSPK provides the foundational structure for the future authorization architecture of digital intelligence systems.
The Personal API Core Inside DSPK
DSPK stores the user’s transaction limits, platform‑specific permission structures, safe transaction zones, and accessibility protocols directly on the hardware device. Digital intelligence can perform actions only within the boundaries defined by DSPK. This shifts security from a software‑level model to a hardware‑anchored structure.
A) Transaction Limits and the Virtual Card Model
The user may define financial limits on DSPK, such as:
- Maximum single‑transaction limit (e.g., 500 TL),
- Monthly spending limit,
- Allowed or restricted spending categories,
- All digital‑intelligence‑initiated transactions being routed through a virtual card mechanism.
This extends banking‑level security into personal hardware.
B) Platform‑Specific Permission Profiles
DSPK can store independent permission sets for each platform:
- Delivery applications may allow only rescheduling,
- E‑commerce platforms may prohibit purchasing and allow only cart additions,
- Healthcare systems may allow only appointment viewing or cancellation.
C) Transaction Safe Zones
DSPK can evaluate whether a transaction request is trustworthy and automatically block suspicious attempts:
- Requests made during unusual hours,
- Requests originating from unknown devices,
- Requests initiated from geographically inconsistent or risky locations.
This introduces personalized threat modeling directly into hardware.
D) Accessibility Protocols and Platform Recognition
DSPK enhances not only security but accessibility as well. The device can detect the operating system it is connected to and automatically activate relevant accessibility tools:
- macOS: VoiceOver is activated,
- Windows: NVDA/JAWS or DSPK’s internal reader is launched,
- iOS/Android: Accessibility shortcuts are automatically applied.
This makes accessibility independent of user intervention.
Conclusion
This work defines a two‑stage authorization model and the DSPK framework to shape the future of secure digital intelligence interaction. The combination of hardware‑based verification and a personal API core provides a strong foundation for the controlled, safe, and customizable execution of actions by digital intelligence systems. DSPK has the potential to become one of the fundamental standards of future digital‑security ecosystems.
AUTHOR/AUTHORS: Selim Dospatlı
PUBLİCATİON DATE: 10.12.2025
LAST UPDATED: 10.12.2025
This translation was generated with the assistance of a digital intelligence system.