Security and Privacy in A-OSP

A-OSP has been engineered to ensure robust security and confidentiality by design, explicitly adhering to a strict local-first architecture. Data input, processing, semantic recomposition, and final artifact generation occur exclusively within the local execution environment (e.g., the user's secured laptop or company workstation).

To facilitate AI-driven analyses, the system tokenizes and fragments company-specific data into minimal, semantically anonymized chunks (231chunks) prior to transmission via APIs to external AI services (such as OpenAI's enterprise-level APIs). 

Since these fragments are sent in a de-identified, uncorrelated, and disaggregated state, they effectively function as encrypted data whose meaningful recomposition is only possible through local correlation logic, controlled entirely by the user's local deployment.

Nonetheless, the effective guarantee of security and confidentiality relies on specific user-managed conditions:

• Local Device Security: Users must maintain robust cybersecurity measures on their local devices, including up-to-date antivirus and anti-malware software, operating system patching, strong authentication mechanisms, and secure access control to mitigate risks associated with unauthorized physical or digital access.

• API Service Adequacy: Users must select appropriate enterprise-grade AI API services, explicitly verifying contractual conditions. Premium API agreements typically provide assurances that submitted data is not stored, logged, or used for subsequent machine-learning purposes by the AI provider. Such guarantees, common among leading LLM service providers (e.g., OpenAI, Microsoft Azure, AWS Bedrock), require explicit contractual confirmation and may entail significant costs (around €100–200/month, excluding actual API call costs as of mid-2025).

• Network and Communication Security: Secure network practices must be ensured (e.g., encrypted communications via HTTPS, firewall configurations, VPN usage when necessary) to prevent potential interception or manipulation of data in transit.
  
  

Given that A-OSP does not require any form of user authentication or login—thus eliminating a common source of credential compromise—the focus shifts explicitly toward securing the local environment and API integration channels. Under these well-defined operational conditions, A-OSP delivers comprehensive, transparent, and demonstrable privacy and confidentiality, rigorously aligned with international standards such as ISO 27001 (Information Security Management) and ISO 27701 (Privacy Information Management).