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Forum Systems launches QS Platform 10 for sovereign enterprise AI

The new platform allows organizations to run AI agents across private and public models while maintaining centralized security and predictable costs.

10 billiondaily transactions secured by QS Sentry

The short version

Why it matters

This allows companies in highly regulated industries to use powerful public AI models without sacrificing data privacy. It moves AI from experimental 'tokens' to a predictable, enterprise-grade infrastructure that fits into existing security protocols.

A unified approach to AI sovereignty

Forum Systems and its subsidiary Quantum Gears have released QS Platform 10, a sovereign AI platform designed for enterprises and governments. The system allows these organizations to run AI agents and intelligent workflows while maintaining control over where data is processed. It is built to work across both private and public large language models, giving users the flexibility to choose the best environment for each specific task.

The platform unifies three core technologies: QS Sentry, QS Cortex, and QS DevX. By combining these into one foundation, the company aims to help organizations connect their existing systems to AI without building a completely new technology stack. Users can deploy the platform on-premises, in a private cloud, in a public cloud, or across a hybrid of all three environments.

Sovereignty in this context does not mean avoiding public models entirely. Instead, it means the ability to decide which workloads run on private infrastructure and which can use commercial models. The platform ensures that the same governance rules, such as data-loss prevention and role-based access, apply regardless of where the AI request is routed.

How the platform architecture works

The architecture relies on three distinct capabilities to manage AI operations. QS Sentry serves as the secure connectivity layer, providing an API gateway and security for applications to reach enterprise systems. It handles authentication, authorization, and transaction logging to keep AI agent actions within controlled boundaries. This component can be deployed as software, virtual images, or hardware appliances for air-gapped environments.

QS Cortex acts as the intelligence and runtime engine. It manages knowledge retrieval, agent orchestration, and policy-driven routing between private and public models. This component includes the guardrails and multi-model capabilities previously seen in QS SecureGPT. It ensures that sensitive data stays on controlled infrastructure while less sensitive tasks can draw on the benefits of leading commercial models.

QS DevX provides a unified environment for development and management. It allows developers and platform teams to discover, build, and monitor APIs and AI agents in one place. By centralizing these tools, the company ensures that enterprise capabilities can be built once and reused across different teams. This structure allows security changes to be made in one place rather than being rewritten into every individual service or agent.

Predictable economics and security

One of the primary goals of QS Platform 10 is to provide predictable AI economics for large organizations. Unlike many AI services that charge per token, this platform is licensed by capacity. This means that as an organization expands its usage, it can do so within its licensed capacity without facing a variable per-token bill. The routing system is specifically designed to keep these costs predictable by balancing private and public model usage.

Security is integrated directly into the platform rather than being written into the application code. This means that authentication, encryption, and certificate rotation are managed centrally. Whether the underlying code was written by a human developer or generated by an AI, the security protocols remain consistent. This approach reduces the risk of errors when deploying new AI agents across a large company.

The platform is built on a foundation that has already been tested in demanding environments. QS Sentry currently secures more than 10 billion transactions daily for government and commercial entities. Additionally, the platform is HITRUST r2 certified and has been operating in production within regulated environments since mid-2023. These credentials are intended to provide the accountability that boards of directors require for AI initiatives.

Future domain-specific solutions

QS Platform 10 is intended to serve as the foundation for a series of specialized solutions. Quantum Gears plans to launch domain-specific tools for healthcare, contract management, and finance. These solutions will all run on the same underlying connectivity, intelligence, and governance layer. This allows customers to expand their capabilities without having to adopt a new technology stack for every new use case they want to solve.

The first of these specialized solutions is named QS Axiom, which is scheduled for release in Q1 2027. Because these tools share a common foundation, existing customers can transition more easily. For example, current Forum Sentry deployments can become the foundation for QS Sentry, allowing APIs and security policies to carry forward without the need for a full re-platforming effort.

The company is positioning itself as a vendor for regulated industries that need to balance innovation with strict compliance. Mamoon Yunus, President and CEO of Forum Systems, noted that boards will soon scrutinize the risk and maintainability of AI. He stated, "We believe the pendulum will swing back toward proven enterprise software vendors." The goal is to provide a way for companies to operate AI securely and accountably for years rather than just generating code quickly.

What to watch

Try it

Check the Quantum Gears website for architecture briefings and product demonstrations.

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First reported by PR Newswire · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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