How seqrity.ai thinks about security
seqrity.ai is designed as a security-first platform for organizations running modern application security and DevSecOps programs.
Platform overview
seqrity.ai connects to your scanners, CI/CD systems, source code and cloud environments to normalize findings into Signals. The platform is designed to avoid storing more sensitive data than necessary and to provide clear, auditable workflows for the lifecycle of each finding.
- • Asset-centric view across applications, APIs, mobile, code and infrastructure.
- • Role-based access model intended to support least privilege in complex teams.
- • Workspace isolation to separate tenants, environments or business units.
Security controls (illustrative)
The implementation details below are representative of a security-focused SaaS platform and should be validated against your own due diligence process.
- • Encryption in transit using modern TLS configurations.
- • Encryption at rest for customer data using cloud-native key management.
- • Segregated environments for development, staging and production.
- • Strong authentication and SSO/SAML support for enterprise tenants.
- • Scoped API tokens and service accounts for integrations.
- • Change management and peer review across infrastructure and application code.
Data protection & privacy
seqrity.ai is intended to support customers' obligations under common privacy and data protection frameworks (for example, GDPR). Exact responsibilities are governed by the agreement between seqrity.ai and each customer.
- • Data Processing Addendum (DPA) describing roles and responsibilities.
- • Configurable data retention policies aligned with your internal standards.
- • Support for regional hosting and residency discussions, where available.
- • Logical separation of customer workspaces and data boundaries.
Compliance posture (illustrative)
The seqrity.ai product is positioned to support customers who operate under frameworks such as SOC 2, ISO 27001 and similar regional regulations. The exact certification status of any production service should be confirmed via the sales and legal process.
- • Focus on audit-ready logging around Signals and workflow.
- • Controls expected to map to common trust service criteria.
- • Export capabilities to help evidence testing and remediation activity.
Incident response & vulnerability reporting
If you believe you have identified a security issue with seqrity.ai, we encourage responsible disclosure.
- • Use the Security contact details referenced in your customer agreement or, for this demo site, the Support form.
- • Avoid sending exploit details through general contact forms; we will coordinate a secure channel.
- • seqrity.ai intends to follow a documented incident response plan including triage, containment and customer notification where appropriate.
Shared responsibility
Operating a secure application security program is a shared responsibility between seqrity.ai and each customer.
- • seqrity.ai manages the security of the platform and underlying infrastructure.
- • Customers manage who they grant access to, how they configure workspaces and how Signals are acted on.
- • Customers remain responsible for complying with their own regulatory and contractual obligations.
This Security & Trust page is illustrative marketing copy for seqrity.ai and does not constitute legal advice, a binding security commitment or a complete description of controls. Any production deployment should be accompanied by formal documentation and contractual terms.