On premises
Assess endpoint, browser and centralized policy components against your on-premises requirements.
ScoutByt AI Security
Expand your use of AI.
Keep access boundaries in place.
ScoutByt AI Security is designed for visibility, data policy enforcement and controlled resource access across browser, model gateway and supported developer agent workflows.
WHY AI SECURITY?
New ways of working.
New security questions.
What data reaches the model? Which files can an agent read? Whose permissions apply to a tool call? ScoutByt addresses these questions through defined scope and policy decisions.
01
Browser Guard
See how AI is used in the browser.
Browser Guard provides a policy-based approach to prompts and file activity on supported browser AI interfaces. Browser versions, extension deployment and signing, and file/OCR integrations are assessed separately during deployment.
02
Prompt Guard
Before data reaches the model.
Prompt Guard evaluates signals of Turkish national ID numbers (TCKN), IBANs, API keys, private keys and organization-specific sensitive content in supported workflows. Organization-specific keywords and scoped regular expression rules can be included in policies.
03
AI Gateway
A policy checkpoint for model traffic.
AI Gateway applies centralized data policies to supported model requests. Inspection covers supported request history as well as the latest message. Integrations and supported content types are validated together.
04
Agent Guard
Define the boundaries of an agent session.
Agent Guard establishes managed session, process and network boundaries for supported developer AI agents. Inspection coverage for the initial request and subsequent messages is validated separately for each agent and integration.
05
Agent Guard: Resource access
Keep user and agent permissions separate.
Define separate agent policies for Public, Engineering and sensitive business resources. A user’s ability to access a file does not automatically authorize an AI agent to use it.
06
MCP & Tool Control
Tool calls need their own permissions.
MCP & Tool Control constrains supported MCP servers and tool calls through defined resource and action policies. Control is limited to supported tools and actions validated in the target environment.
07
Application Discovery
Bring undisclosed AI use into view.
Application Discovery focuses on discovering the applications and AI interfaces used in your organization before enabling blocking. Your organization’s policies define the metadata collected, collection period and scope.
08
Policy Center
Centralized policies. Defined scope.
Manage organization, device and integration rules centrally. Build a controlled distribution approach using authenticated device access, versioned policies and validity periods.
09
Audit & Security Events
See the decision. Avoid duplicating sensitive data.
The logging approach focuses on policy matches and security events, with the aim of avoiding unnecessary storage of raw sensitive data. Retention periods and model providers’ data terms should be assessed separately.
INTEGRATION POINTS
The right control for supported tools.
Layered control across browsers, developer tools, AI agents and model gateways.
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Policy enforcement and integration coverage may vary by product, version and the inspection capabilities made available by the vendor. Deployment planning includes validation in real user sessions and in the target environment.
DEPLOYMENT APPROACH
Plan around your infrastructure.
Controlled pilot
Start with observation and policy validation for a defined set of users, devices and AI interfaces.
Selective control
Gradually enable the policies you need within validated integrations.
FREQUENTLY ASKED QUESTIONS
Before deployment.
Does ScoutByt control every AI application in the same way?
No. Control points depend on the product, version and security interfaces provided by the vendor. Coverage is validated through technical assessment and a pilot.
Is Application Control required?
No. Application Control is optional and disabled by default. Discovery and AI security policies are assessed separately.
Are raw prompts stored?
ScoutByt’s logging approach focuses on metadata about decisions and events. The aim is to avoid unnecessary persistent storage of raw sensitive data. Model providers’ data retention practices are assessed separately.
How is browser support determined?
The browser version, extension signing and deployment requirements, supported AI interface and file/OCR workflow are each validated during the pilot.
How does a pilot begin?
The use case, data classifications, device scope and success criteria are defined first. The pilot starts with discovery; control policies are enabled gradually, only in validated areas.
LET’S EXPLORE YOUR NEEDS
Let’s explore your AI security needs
together.
Let’s discuss your current use, risks and priorities.