Transform cyber and risk operations with AI you can govern.
Agent Factory helps organizations turn established cyber and GRC procedures into controlled, production-ready workflows. It brings together AI agents, enterprise data, deterministic tools and human oversight to improve operational capacity while maintaining accountability, traceability and control.
An AI-enabled workflow has completed its work.
The platform has recorded the steps performed, the sources used, the controls applied and the decisions made.
Effective oversight starts with visibility. Agent Factory is designed to make workflow activity reviewable at every layer.
01 / 08How are workflows designed?Turn established procedures into governed workflows.
Describe a process in plain language or configure it visually. The builder creates a structured specification with defined inputs, outputs, permissions and review points, then applies the same validation used at deployment.
02 / 08How are workflows validated?Build confidence before deployment.
Design, evaluation, deployment and monitoring each produce their own record. The registry maintains a current inventory of workflows, models and tools so teams can assess readiness using evidence from the platform.
03 / 08How is activity recorded?Maintain a complete record of execution.
Execution journals capture what ran, which sources and tools were used, what changed and which outputs were produced. Provenance links each step to the information and decisions on which it relied.
04 / 08Where do people remain accountable?Keep people responsible for consequential decisions.
Defined steps can pause for an authorized person to review the evidence and decide how the workflow should proceed. Approval, refusal and operational intervention are retained with the execution record.
05 / 08How is access constrained?Limit access to what each task requires.
Each workflow step declares the sources, records and tools it may use, with scope limits applied within those permissions. External content remains identified as untrusted as it moves toward consequential actions.
06 / 08How do external agents participate?Apply consistent controls across agent boundaries.
Partner agents connect through standard interfaces and participate within the same identity, permission and provenance model. Their responses are treated as external content and remain identifiable throughout the workflow.
07 / 08How are models selected?Select models according to the task.
Workflow steps state their model requirements and the deployment maps those requirements to approved models. Routing can reflect data sensitivity, policy, performance and cost.
08 / 08What applies across the platform?Embed governance throughout the operating model.
Identity, policy and audit apply across every layer. Credentials are resolved at the point of use, inputs are screened for manipulation attempts and the runtime is designed to operate within the organization’s environment.
One architecture for governed execution.
Each layer contributes the visibility, oversight and operational controls required for enterprise workflows.
Designed for accountable operation.
Deployed within your environment and governed throughout execution.
Turn established procedures into governed workflows.
Describe a process in plain language or configure it visually. Agent Factory translates the procedure into a structured workflow with defined inputs, outputs, permissions and review points, then records the evidence and decisions produced during execution.
typing…Combine reusable capabilities with controlled execution patterns.
Reusable capabilities support activities such as evidence extraction, policy analysis and assessment review. Three execution patterns determine whether the next step is defined in advance, selected through inference or dependent on an external decision.
Each capability has a declared contract for its inputs, outputs and permitted tools, helping teams assemble workflows without rebuilding the underlying runtime.
| Capability | Activity | Returns | Validation |
|---|---|---|---|
| Evidence extraction | extraction | Typed record + per-field citation | Benchmark required |
| Control research | research | Findings with source and recency | Benchmark required |
| Policy decision | decision | Disposition + governing clause | Benchmark required |
| Report drafting | drafting | Draft + change log | Benchmark required |
| Assessment review | review | Findings with severity | Benchmark required |
| Control mapping | decision | Framework crosswalk + rationale | Benchmark required |
| Vendor triage | research | Risk summary + evidence links | Benchmark required |
| Access certification | review | Entitlement findings + owner | Benchmark required |
| Incident summary | drafting | Timeline + affected assets | Benchmark required |
| Data classification | extraction | Label + matched policy terms | Benchmark required |
| Human approval | gate | Approval + reviewer identity | Reviewer decision |
Typed inputs and outputs, explicit tool permissions and defined exception paths establish what each capability can receive, use and return.
Representative cases help teams assess quality, cost and execution time before promoting a workflow into production.
Version history and deployment records help teams understand what changed, what was tested and which specification produced an outcome.
Connect workflows to the systems your teams already use.
Declared connector contracts provide governed access to enterprise data, records, tools and services. Each workflow receives only the capabilities and scope required for its purpose, helping organizations extend automation without creating unrestricted access to operational systems.
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CrowdStrike
SentinelOnePalo Alto NetworksFortinet
Cisco
Check Point
Trend Micro
Sophos
DarktraceElastic
Sumo LogicMicrosoft Purview
Forcepoint
Zscaler
Netskope
Proofpoint
Mimecast
Cloudflare
Akamai
F5
Archer
AuditBoard
MetricStream
LogicGate
Vanta
Drata
Hyperproof
Workiva
DiligentJiraConfluenceOktaEntra ID
Ping IdentityAuth0
SailPoint
Duo
BeyondTrust
Delinea
JumpCloud
1PasswordHashiCorp VaultQualys
Tenable
Rapid7
WizSnyk
Veracode
Semgrep
Checkmarx
Sonar
JFrog
Aqua Security
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BitbucketAzure DevOps
UpGuard
RiskRecon
PanoraysSAP
Salesforce
Oracle
NetSuite
WorkdayDynamics 365
ConcurStripeQuickBooksXero
Bloomberg
Guidewire
Duck CreekSharePointOneDriveGoogle DriveBoxDropbox
iManage
DocuSign
Adobe Sign
Amazon S3Azure BlobSnowflakeDatabricksBigQueryRedshiftPostgresSQL ServerMongoDBElasticsearchKafka
Fivetran
dbt
TableauPower BINotionGoogle Cloud
Kubernetes
Docker
Terraform
Ansible
Jenkins
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Datadog
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PagerDutyUiPathOutlookGmail
SlackTeams
Zoom
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Monday.com
SmartsheetOperate within your technology and control environment.
Agent Factory is designed for deployment within an organization’s cloud environment. Workflows can use approved model endpoints, private data sources and existing operational systems while execution records remain within the organization’s defined boundary.
Your AWS account· eu-west-2VPC · private subnetsexternal to your tenancyAlert evidence, extracted fields and dispositions remain within the defined boundary. Agent Factory provides the workflow definitions; execution occurs in your account.
Deployment boundaryorganization-controlled cloud environmentInfrastructure reviewaligned to approved cloud controlsOperational readinessvalidated before workflow releaseReusable workflow patterns, connector definitions and evaluation capabilities support consistent design and validation.
Workers execute workflow specifications using approved models and tools under defined runtime limits and controls.
A durable registry and execution journal retain workflow state, provenance and the evidence associated with each run.
Identity, permissions, policy decisions, human review and operational intervention are applied across workflow execution.
Standard interfaces connect enterprise platforms while controls govern the information and actions that cross each boundary.
Model routing can reflect task requirements, data sensitivity, organizational policy, performance and cost.
Trace outcomes to the evidence and decisions behind them.
Agent Factory maintains a reviewable record of workflow execution. Teams can examine which information was used, how it moved through the workflow, where controls were applied and when human judgment affected the outcome.
