Next-Gen Agentic Sandbox

Govern coding agents without slowing builders down.

Native agent coding on the desktop, with complete runtime visibility, inline control, active protection, and cost governance across every action.

Developers keep the IDE they already use. BlueRock governs the agent execution before it reaches code, data, tools, networks, or enterprise resources.

Try BlueRock Schedule a Demo

The Challenge

Coding agents have laptop-level trust and enterprise-level reach.

Claude Code, Cursor, Copilot, Codex, and other builders now act across the full development environment. The productivity is real; so are the operational gaps.

CRITICAL GAP 01 / 05

Limited visibility

The agent crosses model, tool, skill, MCP, process, CLI, filesystem, network, and data layers. Traditional telemetry captures fragments, not the complete execution path.

What It Is / How It Works

A governed runtime the agent runs inside.

Developers 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.

01 / Developer Workspace

Native IDEs stay native.

Claude Code

Cursor

GitHub Copilot

Codex

VS Code

BLUEROCK CONNECTOR

Relays the agent execution into the governed runtime without moving the developer into a remote workspace.

02 / Governed Runtime

Every layer is visible and enforceable.

DEFAULT DENY

ACTIVE CONTROL

Classify tools and MCP capabilities, then allow, deny, or require review before invocation.

03 / Approved Resources

Access is scoped, not assumed.

Code repositories

Enterprise MCP services

Data warehouses and lakes

Internal systems

Allow-listed external services

APPROVED PATHS ONLY

Every request reaches an enterprise resource through the same inspected and governed path.

The enforcement point is between intent and access.

BlueRock sees what the agent is attempting, understands the runtime context, and makes a policy decision before the action reaches code, credentials, data, tools, or networks.

S4 / Differentiation

Other sandboxes isolate the agent. BlueRock governs it.

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.

ComparisonRuntime control model

Isolation-onlyGeneral-purpose AI sandbox

Request layerAI gateway

Governed runtimeBlueRock Next-Gen Sandbox

Primary question

How do I run untrusted code safely?

How do I filter model API traffic?

How do I govern everything the agent does at runtime?

Isolation

Process, container, or microVM

None

Process, filesystem, network, and data access

What it sees

That code ran inside the box

The model request and response

Model, tools, MCP, CLI, processes, filesystem, network, and data

Enforcement

Contains the blast radius

Filters and rate-limits requests

Allows, denies, pauses, or escalates inline before resource access

Tool governance

None

Tool classification, approved-only MCP, scoped permissions, and human review

Audit

Container and runtime logs

Request logs

Every code-generation event, tool call, argument, policy decision, and outcome

Cost control

None

Token metering

Per-agent caps, kill switch, retry suppression, and human-in-the-loop

Developer experience

Work inside the box or a remote workspace

Native workflow remains unchanged

Native IDE remains unchanged; only agent execution is governed

Live Policy Proof

A gateway sees a tool call. BlueRock sees the actual action.

The runtime identifies the agent, reconstructs the attempted behavior, evaluates the relevant policy, and blocks the action before sensitive resources are touched.

policy-decision.log

agent_idcoding-agent-042

actionread ~/.aws/credentials

classificationcredential_harvest

policyendpoint-secrets-default-deny

BLOCKED BEFORE RESOURCE ACCESS

Operating Model

Preconfigured. Governed. Isolated. Scaled.

Curate the operating environment once, connect builders without changing their workflow, and apply the same controls across the fleet.

Curate the template

Define approved MCP servers and skills, network boundaries, scoped repositories and data sources, spend limits, and human-review requirements once.

Connect the IDE

Developers keep Claude Code, Cursor, Copilot, Codex, or VS Code. The BlueRock Connector relays agent execution without changing the workflow.

Govern every action

Inspect the full execution context and allow, deny, pause, or escalate actions before they reach a resource.

Scale the fleet

Apply the governed operating model across hundreds of isolated coding environments from one control plane.

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.

CAPABILITY 01 / 08

Full-stack runtime visibility

Observe the agent end to end across model, tools, skills, MCP, A2A, CLI wrappers, processes, and runtime hooks.

Operational resultOne execution graph instead of fragmented logs

Product Proof

See the governed runtime in action.

The operating model becomes visible through execution graphs, inline decisions, MCP trust context, and enforceable cost controls.

01 / OBSERVABILITY

Runtime action graph

LIVE

model.requestAnthropic / claude

ALLOW

mcp.github.read_filepayments-api

ALLOW

shell.npm_testisolated process

ALLOW

data.customer_exportsensitive destination

REVIEW

02 / INLINE CONTROL

Destructive action blocked

POLICY

toolshell.execute

commandrm -rf /workspace

classificationdestructive

policydestructive-tools-deny

ACTION BLOCKED INLINE

03 / MCP TRUST

Tool classification and restrictions

84 / 100

Repository analysisSAST complete

PASS

Agentic threat vectors22 evaluated

PASS

Read / write toolsapproved

ALLOW

Admin / destructive toolshuman review

REVIEW

04 / COST CONTROL

Threshold and pause-agent control

AGENT 042

$184OF $225 LIMIT

Retries suppressed18 unnecessary loops

SAVED

Estimated tokens saved243k tokens

ACTIVE

Existing Ecosystem

Built around the tools your teams already use.

BlueRock adds a governed runtime layer without replacing the IDEs, models, repositories, cloud platforms, observability systems, or identity infrastructure already in place.

AI Builders

Claude CodeCursorGitHub CopilotCodexVS Code

Code + Data

GitHubGitLabBitbucketWarehousesData LakesInternal APIs

Infrastructure

AWSAzureGCPKubernetesContainers

Enterprise

OktaMicrosoft EntraDatadogCloudWatchSentinelSplunk

FAQ

Questions about the Next-Gen 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 the 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 agentic runtime context those systems do not have and streams telemetry through OTEL to platforms such as Datadog, CloudWatch, Sentinel, Splunk, and other 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.

Try BlueRock Schedule a Demo

Next-Gen Agentic Sandbox

Govern coding agents without slowing builders down.

Native agent coding on the desktop, with complete runtime visibility, inline control, active protection, and cost governance across every action.

Developers keep the IDE they already use. BlueRock governs the agent execution before it reaches code, data, tools, networks, or enterprise resources.

Try BlueRock Schedule a Demo

The Challenge

Coding agents have laptop-level trust and enterprise-level reach.

Claude Code, Cursor, Copilot, Codex, and other builders now act across the full development environment. The productivity is real; so are the operational gaps.

CRITICAL GAP 01 / 05

Limited visibility

The agent crosses model, tool, skill, MCP, process, CLI, filesystem, network, and data layers. Traditional telemetry captures fragments, not the complete execution path.

What It Is / How It Works

A governed runtime the agent runs inside.

01 / Developer Workspace

Native IDEs stay native.

Claude Code

Cursor

GitHub Copilot

Codex

VS Code

BLUEROCK CONNECTOR

Relays the agent execution into the governed runtime without moving the developer into a remote workspace.

02 / Governed Runtime

Every layer is visible and enforceable.

DEFAULT DENY

ACTIVE CONTROL

Classify tools and MCP capabilities, then allow, deny, or require review before invocation.

03 / Approved Resources

Access is scoped, not assumed.

Code repositories

Enterprise MCP services

Data warehouses and lakes

Internal systems

Allow-listed external services

APPROVED PATHS ONLY

Every request reaches an enterprise resource through the same inspected and governed path.

The enforcement point is between intent and access.

BlueRock sees what the agent is attempting, understands the runtime context, and makes a policy decision before the action reaches code, credentials, data, tools, or networks.

S4 / Differentiation

Other sandboxes isolate the agent. BlueRock governs it.

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.

ComparisonRuntime control model

Isolation-onlyGeneral-purpose AI sandbox

Request layerAI gateway

Governed runtimeBlueRock Next-Gen Sandbox

Primary question

How do I run untrusted code safely?

How do I filter model API traffic?

How do I govern everything the agent does at runtime?

Isolation

Process, container, or microVM

None

Process, filesystem, network, and data access

What it sees

That code ran inside the box

The model request and response

Model, tools, MCP, CLI, processes, filesystem, network, and data

Enforcement

Contains the blast radius

Filters and rate-limits requests

Allows, denies, pauses, or escalates inline before resource access

Tool governance

None

Tool classification, approved-only MCP, scoped permissions, and human review

Audit

Container and runtime logs

Request logs

Every code-generation event, tool call, argument, policy decision, and outcome

Cost control

None

Token metering

Per-agent caps, kill switch, retry suppression, and human-in-the-loop

Developer experience

Work inside the box or a remote workspace

Native workflow remains unchanged

Native IDE remains unchanged; only agent execution is governed

Live Policy Proof

A gateway sees a tool call. BlueRock sees the actual action.

The runtime identifies the agent, reconstructs the attempted behavior, evaluates the relevant policy, and blocks the action before sensitive resources are touched.

policy-decision.log

agent_idcoding-agent-042

actionread ~/.aws/credentials

classificationcredential_harvest

policyendpoint-secrets-default-deny

BLOCKED BEFORE RESOURCE ACCESS

Operating Model

Preconfigured. Governed. Isolated. Scaled.

Curate the operating environment once, connect builders without changing their workflow, and apply the same controls across the fleet.

Curate the template

Define approved MCP servers and skills, network boundaries, scoped repositories and data sources, spend limits, and human-review requirements once.

Connect the IDE

Developers keep Claude Code, Cursor, Copilot, Codex, or VS Code. The BlueRock Connector relays agent execution without changing the workflow.

Govern every action

Inspect the full execution context and allow, deny, pause, or escalate actions before they reach a resource.

Scale the fleet

Apply the governed operating model across hundreds of isolated coding environments from one control plane.

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.

CAPABILITY 01 / 08

Full-stack runtime visibility

Observe the agent end to end across model, tools, skills, MCP, A2A, CLI wrappers, processes, and runtime hooks.

Operational resultOne execution graph instead of fragmented logs

Product Proof

See the governed runtime in action.

The operating model becomes visible through execution graphs, inline decisions, MCP trust context, and enforceable cost controls.

01 / OBSERVABILITY

Runtime action graph

LIVE

model.requestAnthropic / claude

ALLOW

mcp.github.read_filepayments-api

ALLOW

shell.npm_testisolated process

ALLOW

data.customer_exportsensitive destination

REVIEW

02 / INLINE CONTROL

Destructive action blocked

POLICY

toolshell.execute

commandrm -rf /workspace

classificationdestructive

policydestructive-tools-deny

ACTION BLOCKED INLINE

03 / MCP TRUST

Tool classification and restrictions

84 / 100

Repository analysisSAST complete

PASS

Agentic threat vectors22 evaluated

PASS

Read / write toolsapproved

ALLOW

Admin / destructive toolshuman review

REVIEW

04 / COST CONTROL

Threshold and pause-agent control

AGENT 042

$184OF $225 LIMIT

Retries suppressed18 unnecessary loops

SAVED

Estimated tokens saved243k tokens

ACTIVE

Existing Ecosystem

Built around the tools your teams already use.

BlueRock adds a governed runtime layer without replacing the IDEs, models, repositories, cloud platforms, observability systems, or identity infrastructure already in place.

AI Builders

Claude CodeCursorGitHub CopilotCodexVS Code

Code + Data

GitHubGitLabBitbucketWarehousesData LakesInternal APIs

Infrastructure

AWSAzureGCPKubernetesContainers

Enterprise

OktaMicrosoft EntraDatadogCloudWatchSentinelSplunk

FAQ

Questions about the Next-Gen Sandbox.

How BlueRock changes the operating model for coding agents without changing how developers work.

How is BlueRock different from a regular AI sandbox?+

Do developers have to change how they work?+

What can BlueRock control at runtime?+

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?+

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.

Try BlueRock Schedule a Demo

Next-Gen Agentic Sandbox

Govern coding agents without slowing builders down.

Native agent coding on the desktop, with complete runtime visibility, inline control, active protection, and cost governance across every action.

Developers keep the IDE they already use. BlueRock governs the agent execution before it reaches code, data, tools, networks, or enterprise resources.

Try BlueRock Schedule a Demo

The Challenge

Coding agents have laptop-level trust and enterprise-level reach.

Claude Code, Cursor, Copilot, Codex, and other builders now act across the full development environment. The productivity is real; so are the operational gaps.

CRITICAL GAP 01 / 05

Limited visibility

The agent crosses model, tool, skill, MCP, process, CLI, filesystem, network, and data layers. Traditional telemetry captures fragments, not the complete execution path.

What It Is / How It Works

A governed runtime the agent runs inside.

01 / Developer Workspace

Native IDEs stay native.

Claude Code

Cursor

GitHub Copilot

Codex

VS Code

BLUEROCK CONNECTOR

Relays the agent execution into the governed runtime without moving the developer into a remote workspace.

02 / Governed Runtime

Every layer is visible and enforceable.

DEFAULT DENY

ACTIVE CONTROL

Classify tools and MCP capabilities, then allow, deny, or require review before invocation.

03 / Approved Resources

Access is scoped, not assumed.

Code repositories

Enterprise MCP services

Data warehouses and lakes

Internal systems

Allow-listed external services

APPROVED PATHS ONLY

Every request reaches an enterprise resource through the same inspected and governed path.

The enforcement point is between intent and access.

BlueRock sees what the agent is attempting, understands the runtime context, and makes a policy decision before the action reaches code, credentials, data, tools, or networks.

S4 / Differentiation

Other sandboxes isolate the agent. BlueRock governs it.

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.

ComparisonRuntime control model

Isolation-onlyGeneral-purpose AI sandbox

Request layerAI gateway

Governed runtimeBlueRock Next-Gen Sandbox

Primary question

How do I run untrusted code safely?

How do I filter model API traffic?

How do I govern everything the agent does at runtime?

Isolation

Process, container, or microVM

None

Process, filesystem, network, and data access

What it sees

That code ran inside the box

The model request and response

Model, tools, MCP, CLI, processes, filesystem, network, and data

Enforcement

Contains the blast radius

Filters and rate-limits requests

Allows, denies, pauses, or escalates inline before resource access

Tool governance

None

Tool classification, approved-only MCP, scoped permissions, and human review

Audit

Container and runtime logs

Request logs

Every code-generation event, tool call, argument, policy decision, and outcome

Cost control

None

Token metering

Per-agent caps, kill switch, retry suppression, and human-in-the-loop

Developer experience

Work inside the box or a remote workspace

Native workflow remains unchanged

Native IDE remains unchanged; only agent execution is governed

Live Policy Proof

A gateway sees a tool call. BlueRock sees the actual action.

The runtime identifies the agent, reconstructs the attempted behavior, evaluates the relevant policy, and blocks the action before sensitive resources are touched.

policy-decision.log

agent_idcoding-agent-042

actionread ~/.aws/credentials

classificationcredential_harvest

policyendpoint-secrets-default-deny

BLOCKED BEFORE RESOURCE ACCESS

Operating Model

Preconfigured. Governed. Isolated. Scaled.

Curate the operating environment once, connect builders without changing their workflow, and apply the same controls across the fleet.

Curate the template

Define approved MCP servers and skills, network boundaries, scoped repositories and data sources, spend limits, and human-review requirements once.

Connect the IDE

Developers keep Claude Code, Cursor, Copilot, Codex, or VS Code. The BlueRock Connector relays agent execution without changing the workflow.

Govern every action

Inspect the full execution context and allow, deny, pause, or escalate actions before they reach a resource.

Scale the fleet

Apply the governed operating model across hundreds of isolated coding environments from one control plane.

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.

CAPABILITY 01 / 08

Full-stack runtime visibility

Observe the agent end to end across model, tools, skills, MCP, A2A, CLI wrappers, processes, and runtime hooks.

Operational resultOne execution graph instead of fragmented logs

Product Proof

See the governed runtime in action.

The operating model becomes visible through execution graphs, inline decisions, MCP trust context, and enforceable cost controls.

01 / OBSERVABILITY

Runtime action graph

LIVE

model.requestAnthropic / claude

ALLOW

mcp.github.read_filepayments-api

ALLOW

shell.npm_testisolated process

ALLOW

data.customer_exportsensitive destination

REVIEW

02 / INLINE CONTROL

Destructive action blocked

POLICY

toolshell.execute

commandrm -rf /workspace

classificationdestructive

policydestructive-tools-deny

ACTION BLOCKED INLINE

03 / MCP TRUST

Tool classification and restrictions

84 / 100

Repository analysisSAST complete

PASS

Agentic threat vectors22 evaluated

PASS

Read / write toolsapproved

ALLOW

Admin / destructive toolshuman review

REVIEW

04 / COST CONTROL

Threshold and pause-agent control

AGENT 042

$184OF $225 LIMIT

Retries suppressed18 unnecessary loops

SAVED

Estimated tokens saved243k tokens

ACTIVE

Existing Ecosystem

Built around the tools your teams already use.

BlueRock adds a governed runtime layer without replacing the IDEs, models, repositories, cloud platforms, observability systems, or identity infrastructure already in place.

AI Builders

Claude CodeCursorGitHub CopilotCodexVS Code

Code + Data

GitHubGitLabBitbucketWarehousesData LakesInternal APIs

Infrastructure

AWSAzureGCPKubernetesContainers

Enterprise

OktaMicrosoft EntraDatadogCloudWatchSentinelSplunk

FAQ

Questions about the Next-Gen Sandbox.

How BlueRock changes the operating model for coding agents without changing how developers work.

How is BlueRock different from a regular AI sandbox?+

Do developers have to change how they work?+

What can BlueRock control at runtime?+

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?+

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.

Try BlueRock Schedule a Demo