First Recon AI has publicly launched its AI Security Runtime, a platform designed to govern and secure the use of artificial intelligence within enterprises. The system aims to provide organizations with the ability to manage AI interactions, enforce policies, and generate auditable records of AI activity.
The runtime inspects all AI interactions, whether between humans and models, agents and tools, or agents and other agents. It applies security policies before data reaches an AI model and logs every decision made, creating evidence that can be used for compliance and auditing purposes. This is intended to address the growing challenge enterprises face as AI adoption outpaces the ability of traditional security tools, which were designed for file and network security, to manage AI-specific risks.
First Recon AI's platform operates across various AI touchpoints, including applications, gateways, APIs, agents, and endpoints. It is designed to detect sensitive data, potential threats, and policy violations in real time. The system enforces decisions by allowing, redacting, holding, or blocking data before it is processed by an AI model. All decisions are recorded as sealed, metadata-only evidence, intended to be compatible with SIEM systems and compliance frameworks like NIST, GDPR, and the EU AI Act.
At the heart of the AI Security Runtime is a proprietary Semantic Security Engine. This engine analyzes the meaning, intent, and context of AI interactions, moving beyond simple pattern matching. It utilizes a Security Context Graph to link interactions, user identities, and data sources, which the company states improves detection accuracy over time.
The company highlights that many existing AI risk solutions focus on a single control point, such as a gateway. First Recon AI's approach integrates multiple security layers, including device-level security, semantic data security, shadow AI discovery, agent security, and cost controls, all managed under a unified policy.
First Recon AI CEO Kentaro Kawamori stated that enterprises are seeking provable control over AI, a capability that current tools often fail to provide. He explained that the AI Security Runtime was developed to enable companies to deploy AI more aggressively while maintaining control and meeting emerging AI compliance requirements with concrete evidence.
The AI Security Runtime is available in two forms. The First Recon AI endpoint agent is designed for organizations requiring stringent control and enforcement, managing AI use on macOS and Windows devices, including unauthorized AI tools, and preventing sensitive data exfiltration. Additionally, the First Recon AI application offers a secure AI workspace for chat and agent use, accessible via web browser or desktop, serving as a governed alternative to unsanctioned AI tools. Both offerings aim to provide comprehensive coverage from the device to the AI model, with a single policy interface applicable to major AI providers such as OpenAI, Anthropic, Google, and Meta.
First Recon AI has also announced a partnership with Conscia Group, a European cybersecurity and managed IT services provider. Conscia Group's CTO Henrik Møll noted that their clients, who manage critical infrastructure, require demonstrable AI control for regulatory purposes. He indicated that First Recon AI's approach to governing AI interactions and generating audit trails meets these demands.
