01 / IDENTITY
Which agents are running, and who uses them?
Runtime security governance after deployment
See agent behavior.
Control runtime risks in time.
After agents go live, discover them and their behavior chains. Monitor sessions, task plans, tool calls, network requests, and file operations. Identify unusual behavior and security risks, then intervene at decision and execution points through parameter constraints, action blocking, human approval, and other controls.
Runtime visibility
Autonomous agents call for real-time security governance
Agents can plan tasks, call tools, and work with real business data over multiple steps. A one-time check before deployment cannot show what is happening during operation.
02 / ACTION
What have they planned, called, and executed?
03 / DATA
What data have they accessed and transmitted?
04 / CONTROL
Can risky actions be controlled before they cause harm?
Currently supported agent applications
Supported applications
OpenClaw
DeepSeek Harness
WorkBuddy
Hermes
n8n
Coze
VS Code
Codex
Runtime protection loop
From behavior visibility to continually improved policies
The system governs agents by connecting assets, sessions, behaviors, risks, interventions, and policy changes in a continuous security loop.
Discover agentsBuild agent profilesObserve behavior continuouslyIdentify runtime risksIntervene in dangerous actionsImprove policies and security profilesAutomatically discover running agents and maintain an inventory and their locations.
Map models, tools, skills, MCP services, knowledge bases, and call relationships.
Record sessions, plans, tool calls, network requests, and data operations.
Use behavior relationships, threat models, and rules to detect unusual operations.
Control risks through constraints, blocking, approval, and further assessment.
Adjust policies based on outcomes and build security profiles and behavior baselines.
Identity & behavior chain
From an agent inventory to the full behavior chain
Connect each agent's identity to its runtime environment, sessions, models, tools, and data operations so security staff can reconstruct what it did during a task.
Agent discovery and profiling
PROFILE
Automatically discover agents and keep the inventory current
Identify runtime locations, purposes, and environments
Map models, SKILL, MCP, and services
Continuously link behavior, risks, and responses
Continuous behavior-chain visibility
TRACE
Record session context and task plans
Observe tools, network, processes, and file operations
Connect inputs, outputs, data access, and transmission
Trace sequential actions by agent and session
Runtime monitoring and intervention
From risk detection to action intervention
The system uses agent behavior, threat models, and external intelligence to identify runtime risks and offer different levels of control at decision and execution points.
Runtime risk assessment
Identify unusual tool calls, unauthorized actions, dangerous commands, unusual file access, and outbound sensitive data. Link findings to agents, sessions, and behavioral evidence.
Risk control
Restrict dangerous operations during execution through action interception and other measures to reduce the chance of further impact.
Decision intervention and human involvement
Use context intervention, safety guidance, human approval, control handover, or further assessment to bring high-risk actions into an explicit authorization and response process.
Observable data, blocking points, and intervention methods depend on the integration environment and project assessment. Human approvals and control handovers retain clear action records.
Strategy & security archive
Turn each risk response into evidence for ongoing governance
Continuously connect an agent's behavior, risks, intervention outcomes, and policy changes so security teams can review responses and gradually build a behavior baseline.
Continuous policy improvement
Use risk assessments, blocked actions, and human responses to inform later policy adjustments.
01Compare risk assessments, blocked actions, and human responses
02Identify correct blocks, false positives, missed risks, and correct allowances
03Use review findings to inform later policy adjustments
04Keep reviews, versions, and action records for policy updates
Agent security profile
Keep historical records by agent to support ongoing governance and behavior baselines.
01Consolidate agent attributes, behavior chains, and risk records
02Record blocks, approvals, assessments, and response outcomes
03Retain policy changes and historical action records
04Build behavior baselines gradually through continuous monitoring
Core scenarios
Three core use cases
Sensitive information leakage protection
Identify and control unusual data access and outbound transfers
Continuously observe agent access to files, data, networks, and external tools. Identify sensitive data operations outside task goals or authorization, and apply parameter limits, human approval, action blocking, or safety guidance according to risk level.
Preserve a continuous record of data access, transmission, risk judgment, and response.
Requirements
Mapping
Mapping
AI agent security compliance
Turn security requirements into observable, controllable, auditable capabilities
Provide risk identification and classification, human authorization, runtime monitoring, incident response, and log retention around agent identity, permissions, tool calls, autonomous behavior, and data handling. Support security checks, remediation, and ongoing governance.
Help organizations reduce compliance risk in agent applications without promising automatic compliance with any standard, certification, or regulation.
Session
Call
Risk
Response
Policy change record
Agent behavior traceability
Reconstruct calls and responses during a task
Connect agents, sessions, models, tools, files, processes, and network behavior with assessments, blocks, approvals, and policy changes. Trace a risk event back through the behavior chain and responsibility boundaries.
Provide searchable evidence for incident investigation, internal review, and security audits.
Access & deployment
Integrate runtime protection into existing agent environments
The system can integrate through plugins or eBPF according to the runtime environment and deploy the upper-level governance platform on an enterprise intranet. Data collection scope, executable actions, operating system conditions, and network requirements depend on project integration assessment.
Plugin integration
eBPF integration
Agent environment
Enterprise intranet
Runtime security
governance platform
governance platform
Build security governance by understanding runtime behavior
Tell us which agents and runtime environments you use, which data and behavior risks concern you, and which integration method you prefer. We can discuss compatibility and a trial plan.
Request a trialRuntime governance product preselected