The product evaluates AI interactions using information about the user, the data involved, the destination and the business context. Depending on policy, security teams can detect, guide, block or stop activity before information is shared or an agent completes an unauthorised action.
Browser Guard also identifies AI tools and browser extensions used outside approved company channels. Reco says administrators can determine which services employees are using, whether accounts are personal or corporate and whether company information is being submitted to those services.
The distinction between prompts and agents is important.
An employee using a chatbot generally sends information and receives an answer. An agent may retrieve additional information, connect to applications and perform actions. That makes the browser an execution environment rather than simply a place where employees type questions.
Reco’s product attempts to add security controls at that point.
280 integrations show how fragmented AI security is becoming
Reco says its broader platform currently provides more than 280 application integrations and 1,000 detection controls.
Those numbers are useful indicators of product breadth, but they also reveal a problem for smaller companies.
An SME may use dozens of SaaS applications, several AI assistants, browser extensions and employee-owned AI accounts without having a security team large enough to monitor each system independently.
That creates work for MSPs and smaller cybersecurity consultancies.
Instead of starting with a broad AI-governance programme, a provider can begin by identifying where employees are already using AI. Browser activity provides one route to finding unmanaged tools, personal accounts and sensitive-data movement that traditional SaaS inventories may miss.
The service can then move from discovery toward policy.
For example, a customer may permit public AI tools for marketing work while preventing finance, legal or customer information from being submitted to personal accounts. Development agents could receive separate rules because they interact with repositories and production systems.
That creates a recurring managed-security function rather than a one-off AI audit.
The business case becomes stronger when providers connect visibility with remediation. Simply sending customers another alert feed will add operational burden. A useful service needs to identify risky AI use, define appropriate policies and help employees adopt approved alternatives.
The main risk is platform consolidation. Browser vendors, endpoint-security companies and large security suites may increasingly offer similar controls.
Smaller providers therefore need differentiation at the implementation layer. Knowing how a professional-services firm, manufacturer or healthcare supplier actually uses AI can be more valuable than operating the security tool itself.
More information
Source and more information: Reco Launches Browser Guard for Runtime AI and Agent Security