Sovereign AI from Armor Defense Inc., the world’s leading provider of cybersecurity services, is now commercially available. This enterprise-class artificial intelligence workspace solution is completely governed by design and allows for full deployment across a company within sectors where high regulation is required. It addresses an important gap in the market and provides companies with access to private and policy-driven artificial intelligence systems without compromising compliance or making any operational costs unbearable.
While large companies have to spend millions of dollars building proprietary artificial intelligence environments in order to avoid security risks associated with public tools, most companies do not have the necessary funds or skills to develop their own solutions from scratch.
Overcoming the Enterprise AI Trust Deficit
Open AI platforms are inherently incapable of fulfilling compliance needs and managing backend costs of infrastructure. The issue is solved by Sovereign AI because of its private nature where data, budgeting, and audit trail reside under the full control of the client and not the provider.
The product helps with everyday operations within four main pillars: Chat, Build, Flow, and Data. It was built in such a way that it could be easily used by everyone at work, while also allowing for the high level of audit trail needed by risk committees and management.
“Every AI vendor demos the front end. What companies actually buy is the control underneath: governance, audit trail, authority over every model and every dollar. That’s why we built Sovereign AI,” said Chris Drake, founder and CEO, Armor.
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Core Architectural Features & Governance Controls
Sovereign AI integrates people, robots, and foundational models within the same control plane. Core features of the solution include the following:
- Centralized Single Control Plane: All prompts, responses, and system calls go through a governed proxy layer. Corporate security policies, API secrets, and Role-Based Access Controls (RBAC) are all located in the same place, guaranteeing no unauthorized use of models.
- Smart Routing of Multi-Model Workloads: Enterprises are able to integrate chat, code, and image generation models easily. Tasks are routed to the most efficient model, while switching during execution is possible without losing any context.
- Sophisticated Spend and Cost Management: In order to ensure there are no surprise bills, the enterprise administrators are able to set up budgets for certain teams and certain tasks. Tasks will be routed automatically based on budgeting requirements and changes in the pricing structure of providers.
- Adversarial Quality Control: To combat hallucination and low-quality outputs, the platform features customizable review loops. An adversarial critic framework pairs two internal evaluators to stress-test outputs, automatically routing work back for iteration if it falls below predefined scoring thresholds.
- Endpoint Isolation: Advanced agentic execution relies on smart isolation techniques to keep autonomous background agents completely separated from local corporate endpoints.
Seventeen Years of Regulated Cloud Compliance
Sovereign AI is created based on the extensive experience of Armor, who has been providing protection for mission-critical and regulated environment for the past 17 years. Currently, Armor provides security for more than 1,700 enterprise customers in 40+ countries, meeting tough international standards such as HITRUST/HIPAA, PCI DSS, SOC 2, ISO 27001, and GDPR.
In this way,_armor_ is making sure that organizations can easily pass the regulatory audits when third-party software claims are examined by external auditors.
