Runtime security

Security for AI that can act.

You cannot always predict why an agent will behave incorrectly. You can still define the authority it receives—and preserve evidence of what it does.

01

Least authority

Use scoped capability grants instead of handing agents unrestricted credentials. Grant only the operations and resources required for the workload.

02

Identity-first execution

Tie requests and policy decisions to an agent and execution context. Investigations should begin with an attributable event, not an anonymous process.

03

Fail closed at the broker

Sensitive brokered operations require valid authorization. Revoking a grant removes that brokered authority; it does not revoke credentials that have escaped the runtime.

04

Detect and contain abnormal activity

Identify abnormal resource consumption, repeated failures, and unexpected execution activity. Contain affected managed workloads and retain evidence for investigation.

05

Explicit isolation boundaries

JoyMux is not a universal kernel sandbox. Child processes can make their own system calls. Pair runtime controls with appropriate OS, container, or VM controls for filesystem and network isolation.

EXAMPLE RUNTIME EVENT

Authority checked.
Evidence retained.

This interactive example shows policy denial and managed-process containment. It is an illustrative scenario, not a customer incident. Unbrokered child-process activity needs additional isolation controls.

J/ EXECUTION CONTROLIllustrative scenario
build-agent-14healthy
JoyMux boundaryjm-8F32A
POLICY ENGINEAgent identity bound
CPU 24% Memory 1.8 GB Network Observed Filesystem Brokered
✓ Read workspace· Privileged action
CPUMemoryProcessesInfrastructure
EVENT 01

Agent starts with an attributable execution session.

Identify

Example policy flow. Enforcement depends on surface and configuration.

A COMPLEMENTARY LAYER

Different layers. Different responsibilities.

Conceptual emphasis, not a feature verdict on individual vendors. Capabilities vary by product and integration.

ResponsibilityModel-focused AI securityApplication observabilityJoyMux runtime security
Model output monitoringPrimary focusApplication signalsIntegration-dependent
Prompt / content controlsPrimary focusApplication signalsComplementary layer
Agent identityVariesCorrelation contextExecution context
Process-level visibilityVariesHost instrumentationManaged sessions
Resource limitsVariesUsage visibilityDeployment-dependent
Runtime enforcementVariesIntegration-dependentBrokered actions
Privileged-action controlVariesIntegration-dependentScoped capability grants
Execution containmentVariesIntegration-dependentManaged process cancellation
Crash recoveryVariesFailure visibilityWorkload-dependent recovery
Session persistenceVariesTelemetry storageDurable execution events
Infrastructure audit trailVariesLogs & tracesRuntime decision evidence
CONTROL WHAT COMES NEXT

AI agents are getting more authority.
Your infrastructure needs more control.