aisecurity.llc
Security Practices
This page summarizes the security practices we use to protect aisecurity.llc workspaces, service workflows, evidence artifacts, generated packets, integrations, and professional-services delivery. We are prelaunch and do not claim SOC 2, ISO 27001, HIPAA, PCI, or other formal certification unless expressly stated in a signed agreement or updated Trust Center notice.
We use layered technical and organizational controls to protect customer workspaces, packets, evidence, and service delivery paths. Public forms are for preliminary, non-sensitive information only. Sensitive targets, credentials, regulated data, and production evidence should travel only through the approved agreement path and secure channel for the engagement.
Security Snapshot
We keep the controls below in place across the platform and service surface:
- TLS for data in transit.
- Encryption at rest where supported by infrastructure providers.
- Role-based access and least privilege.
- Organization and workspace separation for customer work.
- MFA and SSO support where available for enterprise access and administration.
- Controlled handling of evidence, packets, and generated artifacts.
- No secrets through public forms.
- Vulnerability disclosure channel for responsible reporting.
- Human review for consequential AI-assisted deliverables.
- Customer data is not used to train public AI models.
- Engagement-specific SOW, DPA, ROE, and evidence terms may add stricter controls.
Scope of These Practices
These practices apply, where available and as applicable, to:
- Public website, trust center, and legal pages.
- Platform and customer portal web UI.
- SecEng Copilot and LLM-powered chat.
- /scope and /start intake workflows.
- Generated packets, reports, and evidence packs.
- Private offers, contracts, and SOW workflows.
- Roles, entitlements, seats, and delegated legal, finance, IT, and security contacts.
- LMS, academy, and training seats or modules.
- Stripe checkout and subscription workflows.
- SSO, SAML, OIDC, and SCIM enterprise onboarding.
- OAuth and SaaS integrations, connectors, and customer-configured linkages.
- Browser extension and native app, if enabled.
- Runtime proxy, model gateway, or trace tooling if represented in product copy.
- Code scanner, adversarial range, RAG harness, artifact analyzer, and related security tools.
- Professional-services delivery and pentest/red-team readiness workflows.
Identity, Access, and Tenant Boundaries
Customer work is organized by account, organization, workspace, or engagement context. Access is intended to follow least privilege and the role assigned for the specific task.
- Admins may manage members, seats, roles, entitlements, and integrations where supported.
- Delegated legal, finance, and procurement users can receive contract or procurement tasks without automatically seeing sensitive technical evidence.
- Delegated technical and security users can receive scoping, access, evidence, and Rules of Engagement tasks.
- SSO, SAML, OIDC, and SCIM may be available or reviewed as part of enterprise onboarding.
- Access should be revoked when a user leaves, changes roles, or no longer needs access.
- We avoid assuming more than the relevant account, workspace, or engagement context unless a signed agreement says otherwise.
Evidence and Artifact Protection
Security evidence is treated differently from ordinary contact data because it may describe systems, targets, vulnerabilities, prompts, logs, traces, architecture, or customer review materials.
- Evidence is minimized to what the scoped work needs.
- Approved channels are used for sensitive uploads, packet exchange, and review material.
- Restricted material is not accepted through public forms.
- Packet and report access is limited to people with a legitimate need for the engagement or platform feature.
- Redaction and masking are applied where appropriate before sharing broader copies.
- Retention and deletion follow the applicable policy and agreement path.
- Public-safe summaries may be produced, but customer-identifying publication requires approval.
- Stricter SOW, DPA, ROE, or evidence instructions control when they apply.
SecEng Copilot and AI Controls
- Copilot assists with scoping, drafting, triage, packet generation, and security analysis where enabled.
- Copilot outputs may be saved with the relevant workspace, intake, packet, report, or project record when needed.
- Copilot does not replace human review.
- Final findings, attestations, claim language, and customer-facing evidence require human review.
- Customer data is not used to train public AI models.
- Restricted material should not be submitted to AI features unless the applicable agreement and secure processing path allow it.
- AI processing is governed by the AI Usage Policy, AI Governance, Privacy Policy, and Customer Data & Model Training pages.
Integrations and Connector Security
- Customers should connect only systems they are authorized to use or administer.
- OAuth and connector scopes should be limited to the feature or service need.
- Connected data depends on the permissions granted by the customer and the third-party service.
- Integrations can be revoked where supported.
- Customer-configured integrations may involve third-party services controlled by the customer.
- Token and secret handling follows least privilege and approved storage practices where implemented.
Browser Extension and Native App
- Users must only capture, process, or transmit page, file, or local context they are authorized to assess.
- Local and remote processing depend on enabled features and customer configuration.
- Diagnostic and security logs may be collected where configured for reliability or abuse prevention.
- Extension and native-app use remains subject to the Privacy Policy, Terms of Use, AI Usage Policy, Evidence Handling Policy, and Acceptable Use rules.
Infrastructure and Operations
- Hosting, CDN, database, and storage providers support the platform and service surface.
- Backups and recovery are handled through the infrastructure and configuration we use for each system.
- Monitoring and logging support availability, security, and support workflows.
- Incident response has a defined contact path and escalation flow.
- Access reviews and offboarding are performed for production and support access.
- Dependency and vulnerability management are part of our operational baseline.
- Secrets are handled through approved storage practices and are not committed to source control.
- Security-sensitive changes receive review before production release.
Certification and Assurance Status
aisecurity.llc is prelaunch and early-stage. We do not currently claim SOC 2, ISO 27001, HIPAA, PCI, FedRAMP, or similar certification unless a signed agreement or updated Trust Center notice says otherwise.
Until formal certifications are available, customers should rely on the Trust Center, the signed agreement path, packet-specific controls, and direct due diligence.
Customer Responsibilities
- Assign appropriate users, roles, and delegated contacts.
- Avoid submitting secrets through public forms.
- Identify sensitive, regulated, or third-party data before sharing it.
- Connect only integrations the customer is authorized to use or administer.
- Revoke access when it is no longer needed.
- Approve testing only through the applicable SOW, ROE, or engagement path.
- Provide accurate scope and authorization information for assessments and packets.
- Review generated packets and deliverables before external use.
Found a security issue?
Report vulnerabilities responsibly via our Vulnerability Disclosure Policy or email security@aisecurity.llc.
Security Practices - aisecurity.llc - Last updated June 27, 2026