Data & Security

Security at CavBot is designed as a layered system. We do not treat platform protection as a single control or one-time configuration. Instead, our approach combines identity verification, role-aware permissions, policy enforcement, guarded execution, operational oversight, and secure product design across the Services.

Because CavBot includes:

• account-based access,
• AI-assisted workflows,
• workspace collaboration,
• file and artifact handling,
• diagnostics and telemetry surfaces,
• and controlled execution across product modules,

our security architecture is intended to preserve not only confidentiality, but also platform integrity, operational continuity, and trust in the actions performed inside the system.

The platform's security posture is supported through a combination of:

• controlled account access,
• workspace-level permissions,
• guarded feature access,
• backend-authoritative policy enforcement,
• structured AI restrictions,
• monitoring and audit visibility,
• and administrative review where needed.

CavBot reserves the right to modify, strengthen, or restrict security controls at any time where necessary to protect users, workspaces, infrastructure, or service integrity.

CavBot protects the platform by controlling who may enter, what they may access, and how their account activity is verified.

Users may be required to authenticate before accessing certain Services, workspaces, or privileged product surfaces. Access may depend on:

• account status,
• workspace membership,
• subscription tier,
• role assignment,
• owner-governed workspace policy,
• or additional verification requirements triggered by platform rules.

CavBot maintains account-protection measures designed to reduce unauthorized access, suspicious session behavior, and misuse of protected workflows. These measures may include:

• secure login and authentication flows,
• account session management,
• device and session review signals,
• token- and session-based access validation,
• role-bound access enforcement,
• and workspace-level access restrictions.

Users are responsible for:

• maintaining the confidentiality of their login credentials,
• controlling access to their devices,
• promptly reporting suspected account compromise,
• and using the Services in accordance with platform policy.

CavBot may suspend, restrict, or require re-verification for any account or session that appears to present a security risk, violates platform rules, or attempts to bypass established safeguards.

Caverify is CavBot's verification layer. It exists to reduce automated abuse, protect sensitive entry points, and help ensure that access attempts and guarded actions are legitimate before they move deeper into the platform.

Caverify is especially relevant where product integrity would otherwise be vulnerable to repeated automated misuse, fraudulent interaction, replay attempts, or abusive request patterns.

Caverify may be used to support:

• access verification at sensitive points of entry,
• anti-bot protection,
• guarded human-verification workflows,
• short-lived and replay-resistant verification behavior,
• and additional abuse resistance around AI or other high-value platform actions.

Caverify is not presented as a cosmetic checkpoint. It is intended to act as a platform defense mechanism that preserves the usability of the Services for legitimate users while making automated misuse materially more difficult.

Verification requirements may vary depending on:

• the user's plan,
• the feature being accessed,
• the sensitivity of the requested action,
• the presence of suspicious behavior,
• workspace policy,
• or real-time abuse signals detected by the system.

CavBot reserves the right to strengthen, increase, or reconfigure verification controls in response to abuse, attack patterns, or evolving platform risk.

CavGuard is CavBot's policy and enforcement layer for governed platform behavior. Where Caverify is focused on confirming access, CavGuard is focused on controlling what actions are allowed once a user is inside the platform.

CavGuard helps ensure that AI, coding, storage, secure collaboration, and other sensitive workflows remain bounded by real permissions, real plan logic, and real platform rules.

CavGuard may govern:

• plan-aware access to AI features,
• role-based and owner-governed restrictions,
• action-class enforcement,
• model availability,
• research mode restrictions,
• reasoning-level restrictions,
• high-cost or high-impact workflow access,
• and backend denial of prohibited requests.

Within CavAi and model-assisted workflows, CavGuard may determine:

• whether a user can access a model or AI lane,
• whether a specific action is permitted,
• whether a reasoning level is allowed,
• whether a file or workspace scope is valid,
• whether a high-cost request must be blocked, throttled, or reviewed,
• and whether an action must stop at suggestion rather than direct execution.

CavBot's AI security approach is not based on a single model or provider. It is based on governed orchestration: the right model for the right task, the right user for the right capability, the right plan for the right level of access, and the right controls around what can actually be run, changed, or generated.

CavGuard exists to make that logic visible, enforceable, and consistent across the platform.

CavBot supports workspace-based operations, which means access is not governed only at the account level. It is also governed at the workspace level.

Workspace protection may include:

• owner-controlled permissions,
• admin and member role differentiation,
• invitation-based collaboration,
• controlled publication and sharing states,
• policy-aware access to files, AI, and secure surfaces,
• and protected handling for high-trust workflows.

Some workspace operations may be available only:

• to workspace owners,
• to specific roles approved by the owner,
• to users within a plan tier that supports the relevant feature,
• or under collaboration settings that explicitly permit such access.

Within protected surfaces such as secure storage and higher-trust collaboration environments, CavBot may impose additional restrictions designed to preserve confidentiality, prevent accidental exposure, and reduce misuse.

CavBot may also maintain workflow separation between:

• ordinary storage and protected storage,
• standard collaboration and secure collaboration,
• ordinary AI access and restricted AI access,
• or public artifact handling and internal workspace-only operations.

This separation is intentional. It is how the platform preserves trust while still allowing teams to move quickly.

CavBot is designed to use technical safeguards intended to preserve the confidentiality, integrity, and availability of platform data and workflows.

These safeguards may include:

• encryption in transit,
• protected session handling,
• controlled credential storage practices,
• backend access restrictions,
• file and workspace access controls,
• secure provider communication,
• infrastructure monitoring,
• and role-limited administrative access.

Where CavBot relies on third-party infrastructure or service providers for cloud hosting, storage, AI processing, billing, communications, or related operations, those providers may process limited data as part of delivering the Services.

CavBot seeks to use vendors and configurations appropriate to the nature of the Services and to limit access to what is reasonably necessary for service delivery.

No platform can guarantee absolute security. No transmission method over the internet and no digital storage system is entirely immune from compromise. CavBot therefore approaches infrastructure protection as an ongoing operational discipline rather than a permanent state of invulnerability.

Users should also understand that the security of uploaded content, account access, and shared workspace activity depends not only on CavBot's infrastructure, but also on:

• user credential handling,
• responsible sharing practices,
• workspace role management,
• and adherence to the platform's permitted use model.

CavBot uses monitoring and oversight to help identify, investigate, and respond to abnormal behavior, misuse, instability, or security concerns.

This may include monitoring related to:

• account access and session behavior,
• AI usage patterns,
• API activity,
• file and artifact workflows,
• protected collaboration actions,
• policy denials,
• and operational state changes across the Services.

CavBot may also maintain audit-oriented records relevant to:

• account activity,
• workspace actions,
• feature access,
• AI model usage,
• policy enforcement events,
• and protected system changes.

These records may be used for:

• internal investigations,
• abuse prevention,
• system integrity review,
• dispute handling,
• and compliance or security administration.

Where CavBot becomes aware of a material security issue, unauthorized access event, or significant operational compromise, we may take actions including restricting access, rotating or invalidating sessions, disabling features or providers, contacting affected users where appropriate, and preserving relevant records for investigation and response.

CavBot reserves the right to use incident-driven safeguards, temporary restrictions, and emergency policy actions where needed to protect the platform and its users.

Security at CavBot is shared. While the platform enforces layered protections, users also play an essential role in preserving account and workspace safety.

You are responsible for:

• maintaining secure credentials,
• controlling access to your devices,
• configuring your workspace responsibly,
• reviewing collaborator permissions where applicable,
• and reporting suspected misuse or compromise promptly.

You should not:

• share credentials carelessly,
• use unauthorized automation against the platform,
• attempt to bypass access controls,
• or use the Services in ways that create avoidable risk for your workspace or others.

If you believe you have identified an account compromise, a security weakness, unauthorized access, suspicious AI behavior, or another material security concern, you should report it through CavBot's official security contact as soon as possible.

CavBot may review, investigate, and respond to such reports in its discretion and in accordance with its operational and legal obligations.

CavBot may revise this Data Security & Platform Protection Statement from time to time in order to reflect:

• changes in platform architecture,
• product expansion,
• AI model or provider changes,
• evolving security controls,
• legal or compliance developments,
• or operational improvements.

When updates are made, the revised version will be published with an updated effective date. Where required by law or where changes are material, CavBot may provide additional notice through the Services or by other appropriate means.

Continued use of the Services after such updates become effective constitutes acknowledgment of the revised statement, to the extent permitted by law.

Security at CavBot is not static. It is governed, reviewed, and refined as the platform evolves.