AutoPIL — Technology AI Governance Policies

AI Agent Policies — Technology

5 policies for SaaS platforms — governing AI agents that access code repositories, customer data, telemetry, and internal infrastructure across engineering, support, and sales engineering roles.

saas_platform.yaml5 roles

All 5 agent roles

code_review_agentincident_response_agentcustomer_support_agentsales_engineering_agentsecurity_audit_agent

policies/technology/saas_platform.yaml

policies:
  # Code review agent — repo and CI data; blocked from customer PII and billing records
  - name: code_review_agent_policy
    agent_role: code_review_agent
    allowed_sources:
      - code_repositories
      - ci_cd_logs
      - dependency_manifests
      - static_analysis_results
    denied_sources:
      - customer_pii
      - billing_records
      - production_customer_data
    allowed_tasks:
      - code_review
      - vulnerability_scanning
      - dependency_audit
    denied_tasks:
      - customer_data_access
      - billing_query
    max_sensitivity: medium

  # Incident response agent — telemetry and infra data; blocked from customer PII and source code
  - name: incident_response_agent_policy
    agent_role: incident_response_agent
    allowed_sources:
      - telemetry_data
      - infra_logs
      - alerting_configs
      - on_call_schedules
    denied_sources:
      - customer_pii
      - code_repositories
      - billing_records
    allowed_tasks:
      - incident_triage
      - runbook_execution
      - postmortem_drafting
    denied_tasks:
      - customer_data_export
      - code_deployment
    max_sensitivity: high

  # Customer support agent — ticket and account data; blocked from infra configs and code repositories
  - name: customer_support_agent_policy
    agent_role: customer_support_agent
    allowed_sources:
      - support_tickets
      - account_data
      - product_documentation
      - usage_metrics
    denied_sources:
      - infra_configs
      - code_repositories
      - internal_financial_data
    allowed_tasks:
      - ticket_resolution
      - account_lookup
      - escalation_routing
    denied_tasks:
      - infrastructure_change
      - code_deployment
    max_sensitivity: medium

Where AI governance breaks down in Technology

Multi-tenant data isolation

SaaS AI features that can access data across customer accounts create both security and contractual liability. AutoPIL enforces tenant isolation at the retrieval layer — not in application code.

Source code exposure in AI dev tools

Code review and incident response agents with unrestricted repo access create IP and security risk. AutoPIL enforces scope boundaries at the data layer, not via role-based access control alone.

SOC 2 audit gaps for AI decisions

SOC 2 Type II now expects AI access controls to be documented and demonstrable. AutoPIL's cryptographic audit chain satisfies that requirement — every decision, every policy version, permanently.

How to use

One path.
Your industry loaded.

Point policy_path at your industry directory. AutoPIL loads every YAML file recursively — roles, sensitivity rules, and process groups wired up automatically from the directory structure. No additional config needed.

Policies are hot-reloaded at runtime. Extend or override any pre-built policy via the REST API without redeploying your agents or restarting services.

setup.py

from autopil import ContextGuard

# Point at your industry — only those policies load
guard = ContextGuard(
    policy_path="policies/technology/",
    audit_db="autopil.db",
)

# policies/technology/ — loads recursively
# Switch verticals by changing the path — nothing else changes.

You build AI products. You know what happens when access policy is missing.

One path.
Your industry loaded.

Start with Technology.
Extend from there.

You build AI products. You know what happens when access policy is missing.

One path.Your industry loaded.

Start with Technology.Extend from there.

One path.
Your industry loaded.

Start with Technology.
Extend from there.