Limited Visibility
Existing telemetry captures isolated events—not the complete execution path across models, tools, MCP servers, infrastructure, and runtime.
The Sandbox Built for Coding Agents
AI agents need more than a workspace. They need a governed runtime where every action can be observed, evaluated, and controlled—without changing how developers work.
Developer speed. Enterprise control. No workflow changes.Run coding agents inside a pre-configured environment with trusted tools, runtime visibility, and inline policy enforcement from the first prompt to production.
THE CHALLENGE
Your Coding Agent Operates Outside Traditional Control
Coding agents now write code, execute shell commands, call MCP servers, access enterprise systems, and make thousands of runtime decisions. Traditional developer tooling was never designed to observe or govern this new execution path.
Every challenge has the same root cause: organizations lack operational visibility and control inside the AI execution path. BlueRock was built to close that gap.
Coding agent on the laptop
Credentials
Filesystem
Processes
Data
→
The same coding agent inside the governed runtime
One enforcement point
Credentials
Filesystem
Processes
Data
What It Is / How It Works
A governed runtime the agent runs inside.
Developers and AI builders remain in their native IDE. The BlueRock Connector relays the agent execution into an isolated runtime where every action is reconstructed, evaluated, enforced, and recorded before it reaches a resource.
Native IDEs stay native.
Claude Code
Cursor
GitHub Copilot
Codex
VS Code
Every layer is visible and enforceable.
Identity + execution context
Models + tools + MCP
Processes + CLI + shell
Filesystem + network + data
Inline policy + audit + cost
Access is scoped, not assumed.
Code repositories
Enterprise MCP services
Data warehouses and lakes
Internal systems
Allow-listed external services
Coding agents are where teams start. The same governed runtime secures any agent you run in production.
Differentiation
Sandboxes isolate. Gateways filter. BlueRock governs.
General-purpose sandboxes contain untrusted code. AI gateways filter model traffic. Neither governs the complete agent execution across tools, MCP, processes, files, networks, data, audit, and cost.
General-purpose AI sandbox
AI Gateway
BlueRock Agentic Runtime SandboxPurpose-Built
RUNTIME VISIBILITY
Code ran in the box
The model request
Every action across model, tools, MCP, CLI, filesystem, network, and data
REAL-TIME CONTROL
After the fact
Rate limits
Allow or deny inline before any call reaches a resource
AGENT GOVERNANCE
Not in scope
Request layer only
Tool classification, approved-only MCP, and scoped permissions
AUDIT EVIDENCE
Runtime logs
Request logs
Every code-generation event, tool call, argument, decision, and outcome
DEVELOPER WORKFLOW
Work inside the box
Unaffected
Native IDE on the desktop, unchanged
the only solution covering the entire agentic runtime stack.
Sandbox Fleets
One Platform. Unlimited Sandbox Fleets.
Build isolated development environments tailored to each team without sacrificing governance. Every sandbox can have its own permissions, tools, models, and policies—all managed from a single control plane.
Fleet Architecture
Developers / IDEs
→
Central governance and control plane
→
SB-001
SB-014
SB-027
SB-043
SB-108
SB-N
→
Approved resources
Operate AI sandbox fleets at enterprise scale.
Team-Specific Templates
Create sandbox profiles for engineering, security, data science or any team with unique models, MCP servers, repositories, networks, and policies.
Native Developer Experience
Developers continue working in Claude Code, Cursor, Copilot, Codex, or VS Code while BlueRock transparently provides governance and runtime visibility.
Independent Controls
Every sandbox can enforce different permissions, budgets, network boundaries, approvals, guardrails, and runtime policies without impacting other teams.
Centralized Fleet Management
Manage hundreds of isolated environments from one control plane with consistent governance, visibility, auditing, and lifecycle management.
Platform Capabilities
Everything runs inside the governed runtime.
Isolation, visibility, control, protection, audit, and cost work as one operating system instead of disconnected point solutions.
Full-stack runtime visibility
Observe the agent end to end across model, tools, skills, MCP, A2A, CLI wrappers, processes, and runtime hooks.
Inline runtime control
Allow or deny agent-to-tool, agent-to-MCP, process, CLI, shell, data, and network actions before the call lands.
Active runtime protection
Stop credential harvesting, remote-shell C2, SSRF, arbitrary code execution, and privilege escalation that appear as ordinary tool calls.
MCP code analysis and classification
Run SAST across MCP repositories and agentic threat vectors, then classify tools as read, write, destructive, admin, IAM, or cost-sensitive.
Consolidated proof: tool classification is shown here rather than in a separate Product Proof section.
Audit and compliance trail
Record code-generation events, tool calls, arguments, policy decisions, and outcomes with OTEL streaming to existing observability and SIEM platforms.
Cost monitoring and control
Attribute and cap spend per agent or user with thresholds, pause-agent controls, human review, and suppression of unnecessary retry loops.
Consolidated proof: threshold and pause-agent behavior is contained in this capability.
Next-generation isolation
Contain process, filesystem, network, and data access while preserving the context needed to govern what the agent is actually doing.
Agent behavioral baseline
Learn normal execution patterns across tools, data, networks, and workflows so meaningful drift and anomalous behavior surface quickly.
Existing Ecosystem
Built around the tools your teams already use.
BlueRock adds a governed runtime layer without replacing the IDEs, repositories, cloud platforms, observability systems, or identity infrastructure already in place.
AI Builders
CLClaude CodeCUCursorGIGitHub CopilotCOCodexVSVS Code
Code + Data
GIGitHubGIGitLabBIBitbucket◇Warehouses◇Data Lakes◇Internal APIs
Infrastructure
AWAWSAZAzureGCGCPKUKubernetes◇Containers
Enterprise
OKOktaMIMicrosoft EntraDADatadogCLCloudWatchSESentinelSPSplunk
FAQ
Questions about the Agentic Runtime Sandbox.
How BlueRock changes the operating model for coding agents without changing how developers work.
How is BlueRock different from a regular AI sandbox?+
Most sandboxes isolate untrusted code inside a container or microVM. BlueRock includes isolation, then adds full-stack runtime visibility, inline policy enforcement, tool and MCP governance, complete auditability, and per-agent cost control. Isolation is the floor, not the product.
Do developers have to change how they work?+
No. Developers keep their native IDE and coding agent. The BlueRock Connector relays coding-agent execution into the governed runtime while the developer continues working in Claude Code, Cursor, Copilot, Codex, or VS Code.
What can BlueRock control at runtime?+
BlueRock can govern model calls, tools and skills, MCP servers, processes, CLI wrappers, shell commands, filesystem access, network activity, data access, and cost thresholds before actions reach enterprise resources.
Can policies differ by team, repository, or use case?+
Yes. Governed templates can define different approved tools, MCP servers, repositories, data sources, network destinations, spend limits, and human-review requirements for each team or workflow.
Does it replace our observability, SIEM, or cloud tooling?+
No. BlueRock adds the coding-agent runtime context those systems do not have and streams telemetry through OTEL to existing enterprise tools.
How quickly can a team deploy it?+
The operating model is designed for rapid deployment through a preconfigured governed template and connector, then centralized scaling across additional teams and isolated environments.
Operate AI with confidence
Give coding agents freedom to build inside boundaries you control.
Enable innovation. Maintain control. Reduce risk. Manage cost.
The Sandbox Built for Coding Agents
AI agents need more than a workspace. They need a governed runtime where every action can be observed, evaluated, and controlled—without changing how developers work.
Developer speed. Enterprise control. No workflow changes.Run coding agents inside a pre-configured environment with trusted tools, runtime visibility, and inline policy enforcement from the first prompt to production.
THE CHALLENGE
Your Coding Agent Operates Outside Traditional Control
Coding agents now write code, execute shell commands, call MCP servers, access enterprise systems, and make thousands of runtime decisions. Traditional developer tooling was never designed to observe or govern this new execution path.
Limited Visibility
Existing telemetry captures isolated events—not the complete execution path across models, tools, MCP servers, infrastructure, and runtime.
Every challenge has the same root cause: organizations lack operational visibility and control inside the AI execution path. BlueRock was built to close that gap.
Coding agent on the laptop
Credentials
Filesystem
Processes
Data
→
The same coding agent inside the governed runtime
One enforcement point
Credentials
Filesystem
Processes
Data
What It Is / How It Works
A governed runtime the agent runs inside.
Developers and AI builders remain in their native IDE. The BlueRock Connector relays the agent execution into an isolated runtime where every action is reconstructed, evaluated, enforced, and recorded before it reaches a resource.
Native IDEs stay native.
Claude Code
Cursor
GitHub Copilot
Codex
VS Code
Every layer is visible and enforceable.
Identity + execution context
Models + tools + MCP
Processes + CLI + shell
Filesystem + network + data
Inline policy + audit + cost
Access is scoped, not assumed.
Code repositories
Enterprise MCP services
Data warehouses and lakes
Internal systems
Allow-listed external services
Coding agents are where teams start. The same governed runtime secures any agent you run in production.
Differentiation
Sandboxes isolate. Gateways filter. BlueRock governs.
General-purpose sandboxes contain untrusted code. AI gateways filter model traffic. Neither governs the complete agent execution across tools, MCP, processes, files, networks, data, audit, and cost.
General-purpose AI sandbox
AI Gateway
BlueRock Agentic Runtime SandboxPurpose-Built
RUNTIME VISIBILITY
Code ran in the box
The model request
Every action across model, tools, MCP, CLI, filesystem, network, and data
REAL-TIME CONTROL
After the fact
Rate limits
Allow or deny inline before any call reaches a resource
AGENT GOVERNANCE
Not in scope
Request layer only
Tool classification, approved-only MCP, and scoped permissions
AUDIT EVIDENCE
Runtime logs
Request logs
Every code-generation event, tool call, argument, decision, and outcome
DEVELOPER WORKFLOW
Work inside the box
Unaffected
Native IDE on the desktop, unchanged
the only solution covering the entire agentic runtime stack.
Sandbox Fleets
One Platform. Unlimited Sandbox Fleets.
Build isolated development environments tailored to each team without sacrificing governance. Every sandbox can have its own permissions, tools, models, and policies—all managed from a single control plane.
Fleet Architecture
Developers / IDEs
→
Central governance and control plane
→
SB-001
SB-014
SB-027
SB-043
SB-108
SB-N
→
Approved resources
Operate AI sandbox fleets at enterprise scale.
Team-Specific Templates
Create sandbox profiles for engineering, security, data science or any team with unique models, MCP servers, repositories, networks, and policies.
Native Developer Experience
Developers continue working in Claude Code, Cursor, Copilot, Codex, or VS Code while BlueRock transparently provides governance and runtime visibility.
Independent Controls
Every sandbox can enforce different permissions, budgets, network boundaries, approvals, guardrails, and runtime policies without impacting other teams.
Centralized Fleet Management
Manage hundreds of isolated environments from one control plane with consistent governance, visibility, auditing, and lifecycle management.
Platform Capabilities
Everything runs inside the governed runtime.
Isolation, visibility, control, protection, audit, and cost work as one operating system instead of disconnected point solutions.
Full-stack runtime visibility
Observe the agent end to end across model, tools, skills, MCP, A2A, CLI wrappers, processes, and runtime hooks.
Inline runtime control
Allow or deny agent-to-tool, agent-to-MCP, process, CLI, shell, data, and network actions before the call lands.
Active runtime protection
Stop credential harvesting, remote-shell C2, SSRF, arbitrary code execution, and privilege escalation that appear as ordinary tool calls.
MCP code analysis and classification
Run SAST across MCP repositories and agentic threat vectors, then classify tools as read, write, destructive, admin, IAM, or cost-sensitive.
Consolidated proof: tool classification is shown here rather than in a separate Product Proof section.
Audit and compliance trail
Record code-generation events, tool calls, arguments, policy decisions, and outcomes with OTEL streaming to existing observability and SIEM platforms.
Cost monitoring and control
Attribute and cap spend per agent or user with thresholds, pause-agent controls, human review, and suppression of unnecessary retry loops.
Consolidated proof: threshold and pause-agent behavior is contained in this capability.
Next-generation isolation
Contain process, filesystem, network, and data access while preserving the context needed to govern what the agent is actually doing.
Agent behavioral baseline
Learn normal execution patterns across tools, data, networks, and workflows so meaningful drift and anomalous behavior surface quickly.
Existing Ecosystem
Built around the tools your teams already use.
BlueRock adds a governed runtime layer without replacing the IDEs, repositories, cloud platforms, observability systems, or identity infrastructure already in place.
AI Builders
CLClaude CodeCUCursorGIGitHub CopilotCOCodexVSVS Code
Code + Data
GIGitHubGIGitLabBIBitbucket◇Warehouses◇Data Lakes◇Internal APIs
Infrastructure
AWAWSAZAzureGCGCPKUKubernetes◇Containers
Enterprise
OKOktaMIMicrosoft EntraDADatadogCLCloudWatchSESentinelSPSplunk
FAQ
Questions about the Agentic Runtime Sandbox.
How BlueRock changes the operating model for coding agents without changing how developers work.
How is BlueRock different from a regular AI sandbox?+
Most sandboxes isolate untrusted code inside a container or microVM. BlueRock includes isolation, then adds full-stack runtime visibility, inline policy enforcement, tool and MCP governance, complete auditability, and per-agent cost control. Isolation is the floor, not the product.
Do developers have to change how they work?+
No. Developers keep their native IDE and coding agent. The BlueRock Connector relays coding-agent execution into the governed runtime while the developer continues working in Claude Code, Cursor, Copilot, Codex, or VS Code.
What can BlueRock control at runtime?+
BlueRock can govern model calls, tools and skills, MCP servers, processes, CLI wrappers, shell commands, filesystem access, network activity, data access, and cost thresholds before actions reach enterprise resources.
Can policies differ by team, repository, or use case?+
Yes. Governed templates can define different approved tools, MCP servers, repositories, data sources, network destinations, spend limits, and human-review requirements for each team or workflow.
Does it replace our observability, SIEM, or cloud tooling?+
No. BlueRock adds the coding-agent runtime context those systems do not have and streams telemetry through OTEL to existing enterprise tools.
How quickly can a team deploy it?+
The operating model is designed for rapid deployment through a preconfigured governed template and connector, then centralized scaling across additional teams and isolated environments.
Operate AI with confidence
Give coding agents freedom to build inside boundaries you control.
Enable innovation. Maintain control. Reduce risk. Manage cost.
The Sandbox Built for Coding Agents
AI agents need more than a workspace. They need a governed runtime where every action can be observed, evaluated, and controlled—without changing how developers work.
Developer speed. Enterprise control. No workflow changes.Run coding agents inside a pre-configured environment with trusted tools, runtime visibility, and inline policy enforcement from the first prompt to production.
THE CHALLENGE
Your Coding Agent Operates Outside Traditional Control
Coding agents now write code, execute shell commands, call MCP servers, access enterprise systems, and make thousands of runtime decisions. Traditional developer tooling was never designed to observe or govern this new execution path.
Limited Visibility
Existing telemetry captures isolated events—not the complete execution path across models, tools, MCP servers, infrastructure, and runtime.
Every challenge has the same root cause: organizations lack operational visibility and control inside the AI execution path. BlueRock was built to close that gap.
Coding agent on the laptop
Credentials
Filesystem
Processes
Data
→
The same coding agent inside the governed runtime
One enforcement point
Credentials
Filesystem
Processes
Data
What It Is / How It Works
A governed runtime the agent runs inside.
Developers and AI builders remain in their native IDE. The BlueRock Connector relays the agent execution into an isolated runtime where every action is reconstructed, evaluated, enforced, and recorded before it reaches a resource.
Native IDEs stay native.
Claude Code
Cursor
GitHub Copilot
Codex
VS Code
Every layer is visible and enforceable.
Identity + execution context
Models + tools + MCP
Processes + CLI + shell
Filesystem + network + data
Inline policy + audit + cost
Access is scoped, not assumed.
Code repositories
Enterprise MCP services
Data warehouses and lakes
Internal systems
Allow-listed external services
Coding agents are where teams start. The same governed runtime secures any agent you run in production.
Differentiation
Sandboxes isolate. Gateways filter. BlueRock governs.
General-purpose sandboxes contain untrusted code. AI gateways filter model traffic. Neither governs the complete agent execution across tools, MCP, processes, files, networks, data, audit, and cost.
General-purpose AI sandbox
AI Gateway
BlueRock Agentic Runtime SandboxPurpose-Built
RUNTIME VISIBILITY
Code ran in the box
The model request
Every action across model, tools, MCP, CLI, filesystem, network, and data
REAL-TIME CONTROL
After the fact
Rate limits
Allow or deny inline before any call reaches a resource
AGENT GOVERNANCE
Not in scope
Request layer only
Tool classification, approved-only MCP, and scoped permissions
AUDIT EVIDENCE
Runtime logs
Request logs
Every code-generation event, tool call, argument, decision, and outcome
DEVELOPER WORKFLOW
Work inside the box
Unaffected
Native IDE on the desktop, unchanged
the only solution covering the entire agentic runtime stack.
Sandbox Fleets
One Platform. Unlimited Sandbox Fleets.
Build isolated development environments tailored to each team without sacrificing governance. Every sandbox can have its own permissions, tools, models, and policies—all managed from a single control plane.
Fleet Architecture
Developers / IDEs
→
Central governance and control plane
→
SB-001
SB-014
SB-027
SB-043
SB-108
SB-N
→
Approved resources
Operate AI sandbox fleets at enterprise scale.
Team-Specific Templates
Create sandbox profiles for engineering, security, data science or any team with unique models, MCP servers, repositories, networks, and policies.
Native Developer Experience
Developers continue working in Claude Code, Cursor, Copilot, Codex, or VS Code while BlueRock transparently provides governance and runtime visibility.
Independent Controls
Every sandbox can enforce different permissions, budgets, network boundaries, approvals, guardrails, and runtime policies without impacting other teams.
Centralized Fleet Management
Manage hundreds of isolated environments from one control plane with consistent governance, visibility, auditing, and lifecycle management.
Platform Capabilities
Everything runs inside the governed runtime.
Isolation, visibility, control, protection, audit, and cost work as one operating system instead of disconnected point solutions.
Full-stack runtime visibility
Observe the agent end to end across model, tools, skills, MCP, A2A, CLI wrappers, processes, and runtime hooks.
Inline runtime control
Allow or deny agent-to-tool, agent-to-MCP, process, CLI, shell, data, and network actions before the call lands.
Active runtime protection
Stop credential harvesting, remote-shell C2, SSRF, arbitrary code execution, and privilege escalation that appear as ordinary tool calls.
MCP code analysis and classification
Run SAST across MCP repositories and agentic threat vectors, then classify tools as read, write, destructive, admin, IAM, or cost-sensitive.
Consolidated proof: tool classification is shown here rather than in a separate Product Proof section.
Audit and compliance trail
Record code-generation events, tool calls, arguments, policy decisions, and outcomes with OTEL streaming to existing observability and SIEM platforms.
Cost monitoring and control
Attribute and cap spend per agent or user with thresholds, pause-agent controls, human review, and suppression of unnecessary retry loops.
Consolidated proof: threshold and pause-agent behavior is contained in this capability.
Next-generation isolation
Contain process, filesystem, network, and data access while preserving the context needed to govern what the agent is actually doing.
Agent behavioral baseline
Learn normal execution patterns across tools, data, networks, and workflows so meaningful drift and anomalous behavior surface quickly.
Existing Ecosystem
Built around the tools your teams already use.
BlueRock adds a governed runtime layer without replacing the IDEs, repositories, cloud platforms, observability systems, or identity infrastructure already in place.
AI Builders
CLClaude CodeCUCursorGIGitHub CopilotCOCodexVSVS Code
Code + Data
GIGitHubGIGitLabBIBitbucket◇Warehouses◇Data Lakes◇Internal APIs
Infrastructure
AWAWSAZAzureGCGCPKUKubernetes◇Containers
Enterprise
OKOktaMIMicrosoft EntraDADatadogCLCloudWatchSESentinelSPSplunk
FAQ
Questions about the Agentic Runtime Sandbox.
How BlueRock changes the operating model for coding agents without changing how developers work.
How is BlueRock different from a regular AI sandbox?+
Most sandboxes isolate untrusted code inside a container or microVM. BlueRock includes isolation, then adds full-stack runtime visibility, inline policy enforcement, tool and MCP governance, complete auditability, and per-agent cost control. Isolation is the floor, not the product.
Do developers have to change how they work?+
No. Developers keep their native IDE and coding agent. The BlueRock Connector relays coding-agent execution into the governed runtime while the developer continues working in Claude Code, Cursor, Copilot, Codex, or VS Code.
What can BlueRock control at runtime?+
BlueRock can govern model calls, tools and skills, MCP servers, processes, CLI wrappers, shell commands, filesystem access, network activity, data access, and cost thresholds before actions reach enterprise resources.
Can policies differ by team, repository, or use case?+
Yes. Governed templates can define different approved tools, MCP servers, repositories, data sources, network destinations, spend limits, and human-review requirements for each team or workflow.
Does it replace our observability, SIEM, or cloud tooling?+
No. BlueRock adds the coding-agent runtime context those systems do not have and streams telemetry through OTEL to existing enterprise tools.
How quickly can a team deploy it?+
The operating model is designed for rapid deployment through a preconfigured governed template and connector, then centralized scaling across additional teams and isolated environments.
Operate AI with confidence
Give coding agents freedom to build inside boundaries you control.
Enable innovation. Maintain control. Reduce risk. Manage cost.