Protecting the confidentiality, integrity, and availability of customer data is a top priority at Itential. This Trust Center documents our compliance posture, security practices, and how the platform governs AI-initiated actions securely.
Itential’s cloud-native platform has achieved SOC 2 Type 2 compliance, audited annually by an independent third party. We are committed to the principles of GDPR and CCPA. Reports are available upon request – contact compliance@itential.com.
Annual independent audit. Available upon request.
Data handling practices aligned with EU privacy legislation and the principles of the General Data Protection Regulation.
Data handling practices aligned with the California Consumer Privacy Act and applicable US state privacy requirements.
In Itential, AI agents – whether FlowAgents built on the platform or external AI systems connected via MCP – operate through the same governed execution layer as every human-initiated action. An agent cannot call a network device, query a database, or trigger a workflow unless that specific action is registered in the platform’s Tool Registry and explicitly assigned to that agent at design time.
When a builder creates a FlowAgent, they select a specific set of tools from the platform’s Tool Registry (e.g. workflows, adapter methods, integration APIs, Configuration Manager actions, etc.) That list is locked at design time and enforced at the execution engine level. At runtime, every tool call the agent attempts is validated against its registered tool set before anything is dispatched.
FlowAI uses two separate access control layers. At the project level, the builder assigns Owner, Editor, or Viewer roles to groups, which controls who can view, modify, or delete the agent definition. At the agent level, the builder assigns a separate list of operator groups who are permitted to run the agent. Users not in those groups cannot invoke the agent, see its sessions, or configure triggers for it. Both layers use the same group-based access control model already governing every other platform asset. External MCP tools registered through the FlowMCP Gateway inherit the same Gateway Manager RBAC model.
Every AI-initiated action is logged with full attribution – which agent or system made the request, what tools were called, what inputs/outputs were, and what the outcome was. Execution traces are stored as a durable, ordered event log.
AI-initiated actions that involve manual tasks can route to human operators for review and action before execution continues. Operators can also pause or cancel agent sessions at any time.
Credentials and secrets are stored in customer-controlled vaults or local secrets management and are never stored in agent definitions, workflows, or execution logs. Secrets are injected at runtime only and are not exposed in agent context.
Customer configurations, telemetry, and operational data are never shared with or used to train any external AI model.
The Itential Platform is a cloud-native SaaS application running on AWS. The following security controls are in place across data handling, identity and access, infrastructure, and secrets management.
All data in transit is encrypted using TLS 1.2 with SHA-256 certificates. Data at rest is encrypted with strong industry-standard algorithms and customer-controlled key options available. Itential does not process PII.
SAML and OpenID Connect SSO, MFA enforcement, and SCIM/directory sync supported. RBAC and GBAC enforced throughout the platform for human operators and AI agents. Least-privilege access model applied to all Itential personnel and systems.
Hosted on AWS US East 2 (Ohio) in a multi-AZ redundant architecture. Hardened AWS AMIs. AWS VPCs with only required ports open. Daily backups with point-in-time restore tested annually. Geographically separated availability zones with real-time data replication.
Credentials remain in customer-controlled gateways or enterprise vaults. Secrets are never stored in workflows, never exposed in execution logs, and injected at runtime only.
Itential contracts with an external security firm to perform penetration tests at least annually. Continuous vulnerability scans run against product code repositories with automated detection integrated into our development pipeline. Every change goes through a five-stage secure SDLC – planning, implementation, peer review against OWASP best practices, functional and automated testing, and release approval. A formal six-phase incident response plan is in place and tested annually. In the event of a breach or incident affecting customers, Itential commits to timely notification.
Report security incidents at vulnerabilities@itential.com – monitored 24/7.
Itential is responsible for: securing the platform infrastructure, maintaining SOC 2 Type 2 compliance, encrypting data in transit and at rest, enforcing RBAC and governance across all human and AI-initiated actions, timely incident notification, and continuous vulnerability management and patching.
Customers are responsible for: ensuring data uploaded to the platform is scrubbed of sensitive information including PII and ePHI. The Itential Platform is not designed to house or protect confidential information about individuals. Customers control authentication to the platform via RBAC and GBAC and are responsible for managing their own user access and permissions.
Report security incidents at vulnerabilities@itential.com – monitored 24/7.
If you discover a potential vulnerability in the platform, report it to vulnerabilities@itential.com — monitored 24/7.
Please include a detailed description of the vulnerability, tools and methods used, and steps to reproduce. We will acknowledge your report, investigate, and keep you informed. If you are a customer with a password or account issue, contact Itential Support directly.
TLS 1.2 with SHA-256 for all data in transit. Strong encryption at rest with customer-controlled key options. Itential does not store sensitive operational data.
Yes, SAML and OpenID Connect SSO, MFA, and SCIM/directory sync are all supported.
Credentials remain in customer-controlled gateways or enterprise vaults and are never stored in workflows. Secrets are injected at runtime only and never exposed in logs or agent context.
AI systems call the platform’s governed APIs. RBAC, approval gates, blast-radius controls, and compliance checks are enforced before any action executes. AI never touches infrastructure directly.
Only if RBAC explicitly permits it. Sensitive fields are masked from agent context by default.
Yes – every AI request is logged with full attribution including which agent made the request, what it requested, what validation ran, and the outcome.
No. Customer configurations, telemetry, and operational data are never shared with or used to train any external AI model.
A formal six-phase plan – Preparation, Identification, Containment, Eradication, Recovery, and Lessons Learned – tested annually. In the event of a breach affecting customers, we commit to timely notification. Contact vulnerabilities@itential.com.
AWS US East 2 (Ohio) in a multi-AZ redundant architecture. No critical systems are housed at Itential headquarters.