Trust & security
Treedis Trust Center
Security, privacy, and responsible AI are part of how we build and operate Treedis. Our security program combines management oversight, documented policies, risk assessment, and technical controls to protect customer information. This page outlines the practices that support our platform and customer security reviews.
Governance & assurance
- ISO/IEC 27001. Treedis maintains a certified information security management system. Our certificate is available on request.
- Accountability. Designated security leadership oversees policies, risk ownership, exceptions, and corrective actions, with management review.
- Privacy. Our Privacy Policy and Data Processing Agreement (DPA) describe how personal information is handled. We support applicable customer privacy obligations and security assessments.
- Continuous review. Internal audits, risk assessments, and policy reviews inform improvements to the security program.
Service resilience & recovery
- Documented business continuity and disaster recovery plans define responsibilities, recovery procedures, and communication.
- Encrypted backups and controlled access support recovery of customer information.
- Restore exercises validate recovery mechanisms and inform improvements to our procedures.
- Continuity plans are reviewed regularly and after material changes. Customer-specific service and recovery requirements are addressed through the applicable agreement.
Data protection & encryption
- Encryption. Encryption protects customer information in transit and at rest, with managed keys and restricted access.
- Credentials. Passwords are hashed, and secrets are protected separately from application source code.
- Information handling. Classification, access restrictions, and sharing controls govern the use of sensitive information.
- Retention. Retention and secure deletion requirements cover the information lifecycle, subject to contractual obligations and legal holds.
Endpoint & network security
- Endpoint protection, patch management, and secure configuration standards support staff devices.
- Network access controls restrict connectivity and help protect customer information from unauthorized access.
- Web protection and abuse-prevention controls help safeguard customer-facing services.
- Security logging, monitoring, and alerts support detection, investigation, and escalation.
Identity & access management
- Named accounts and role-based permissions support least-privilege access to systems and customer workspaces.
- Multi-factor authentication protects privileged access. Customer authentication options include MFA and single sign-on.
- Access requests and approvals are documented, and access rights are reviewed as roles and responsibilities change.
- Offboarding procedures address access removal. Remote support follows authorization and user-consent requirements.
Spatial data handling
- Spatial content, documents, and associated asset information are handled according to workspace permissions and approved processing purposes.
- Logical access controls support separation between customer workspaces.
- Integrations are reviewed for authorized access, information handling, and applicable supplier requirements.
Secure development
- Our secure development lifecycle covers security requirements, code review, testing, and controlled releases.
- Development and test environments are separated from production, with restrictions on production data use.
- Code and dependency scanning support the identification of vulnerabilities. Findings are prioritized by severity, exposure, and system criticality and tracked through remediation.
- Change-control procedures cover authorization, testing, rollback planning, and documentation.
- Independent penetration testing forms part of our security assurance program.
Incident response
- A documented incident response plan defines responsibilities, escalation, evidence preservation, containment, and recovery.
- Tabletop exercises help teams practice response procedures and identify improvements.
- Customer communications follow applicable contractual and legal notification requirements.
- Incident reviews inform corrective actions and updates to procedures.
Supplier security & privacy
- Supplier risk procedures address due diligence, confidentiality, security requirements, and ongoing review.
- Applicable agreements address privacy, incident notification, and obligations for downstream processing parties.
- Sub-processor information and change-notification arrangements are provided through the applicable DPA and customer review process.
People & security awareness
- Security awareness training covers information handling, phishing, responsible AI use, and incident reporting.
- Personnel policies define screening requirements, confidentiality obligations, acceptable use, and access removal.
- Developers receive secure development guidance, including the review of AI-assisted code.
Responsible AI
Governance & accountability
- Our AI Use Policy and governance procedures define accountable owners, an AI inventory, and risk-based approval requirements.
- AI uses are classified by risk, with stronger review and oversight requirements for higher-risk features.
Customer information & approved use
- AI provider use is subject to security and privacy review and applicable contractual requirements.
- Our policies restrict the entry of customer information, secrets, and personal data into unapproved AI tools.
- AI features are subject to approved processing purposes and customer access permissions.
Human oversight & access boundaries
- Workspace and tool permissions govern what an AI feature is authorized to access or do.
- AI outputs require appropriate verification before they are relied on, particularly for consequential actions.
- User and operator guidance covers intended use, known limitations, safe information handling, and reporting concerns.
Evaluation, monitoring & response
- Documented AI evaluation procedures address reliability, security, prompt-injection risks, and misuse.
- Governance procedures cover monitoring, feedback, incident response, and review after material changes.
- AI-generated information can be inaccurate or incomplete. Users should check relevant source information before acting.