Product Security
Practical AI automation, built with control and transparency.
Trigz is designed to help teams automate customer engagement and business operations with controlled knowledge, role-aware setup, human oversight, and workflow visibility.
Security principles
How Trigz approaches trust.
AI automation touches customers, teams, systems, and business actions. Trigz helps make those interactions controlled, reviewable, and easier to improve.
Responsible automation
Start with defined use cases, approved knowledge, fallback paths, and measured expansion.
Human control
Keep people involved when requests are complex, sensitive, low-confidence, or high-value.
Knowledge boundaries
Ground agents in approved sources, instructions, fallback behavior, and review paths.
Transparent roadmap
Separate what is available today from planned or future enterprise controls.
Current trust and control capabilities
Product controls that support safer activation.
These capabilities help teams launch practical automation while keeping ownership, visibility, and review paths clear.
Responsible rollout
A practical model for responsible AI rollout.
Security is not only a checklist. It is a launch pattern: start narrow, validate, monitor, and expand when the automation is stable.
Start narrow
Begin with one specific, low-risk use case.
Use a template
Start from a proven setup and configure it to your team.
Connect knowledge
Add approved sources, rules, and data boundaries.
Test and validate
Use realistic examples, edge cases, and review paths.
Enable handoff
Set escalation rules and review ownership.
Monitor and improve
Review performance, gaps, handoffs, and needed updates.
Data and knowledge handling
Give automation the right context without losing control.
Teams decide what agents can use, what is excluded, and when human review is required before an automation is published.
Data sources
Teams connect the sources they trust.
- Documents
- FAQs
- Databases
- Web content
- APIs
Agent access
Agents are configured to use only what you approve.
- Selected sources
- Rules and instructions
- Action limits
- Guardrails
Actions and integrations
Agents perform actions and integrate with tools securely.
- Workflows
- API calls
- Notifications
- Ticket creation
Visibility
Teams can review, monitor, and improve over time.
- Conversations
- Activity logs
- Analytics
- Human feedback
Do not include passwords, API keys, credentials, secrets, private customer data, or sensitive production data in public forms. Formal data handling policies are reviewed during onboarding and evaluation.
Security clarity
What is current and what is next.
See available controls today and the enterprise trust areas planned for future releases.
Current
- Workspaces and roles
- Knowledge configuration
- Human handoff
- Agent testing before publish
- Analytics and reporting
- API and webhook controls
- Channel configuration
Planned
- Advanced audit logs
- Deeper explainability
- Advanced evaluation metrics
- More CRM and ticketing depth
- Advanced escalation rules
- More governance controls
Future enterprise direction
- Enterprise trust controls
- Advanced governance review
- Enterprise permission models
- Data residency options
Formal security commitments, data processing terms, and compliance claims are provided through approved trust and legal materials.
Trust FAQ
Questions teams ask before launching AI automation.
Security evaluation depends on the automation, data, integrations, and level of action involved.
Is Trigz an autonomous AI platform?
Trigz is designed for controlled AI automation. Teams define the use case, approved knowledge, action limits, handoff rules, and monitoring path before expanding automation.
Can humans review or take over anytime?
Human handoff is an important part of the Trigz product direction. It helps teams escalate complex, sensitive, low-confidence, or high-value requests to the right person or team.
What controls are currently available?
Current product controls include template-based setup, workspace and role controls, knowledge configuration, agent testing before publishing, human handoff, analytics and reporting, channel configuration, and API or webhook controls.
What trust controls are available for enterprise teams?
Trigz provides practical controls such as workspace roles, knowledge boundaries, human handoff, testing before publishing, analytics, and API or webhook controls. Additional enterprise controls are planned.
How can teams start safely?
Start with one defined automation, connect approved knowledge, limit actions, test realistic and edge cases, define human handoff, and monitor performance before expanding.
What should customers avoid sharing in public forms?
Customers should not share passwords, API keys, credentials, secrets, private customer data, or sensitive production data in public website forms.
Have questions about trust, data, or rollout?
Book a security review and walk through your first automation, data needs, integration path, handoff requirements, and launch controls.
Validate the automation before expanding.