AI project management security
Give your assistant the project context it needs, while keeping people, projects, files, and secrets inside clear access boundaries.
Agiflow is a commercial project board for teams that work with external AI assistants. It does not run AI assistants for you. It gives your existing assistant approved ways to work from your board, with user sign-in, organization roles, project checks, selected connection contexts, masked vault entries, signed artifact handling, and plan limits.
Free includes 2 seats, 3 projects, and 3 assistant connections.
Launch Plan
Website Refresh
Assistant context
Project only
Todo
Draft trust copy
Visible on board
In Progress
Draft trust copy
Visible on board
Attach brief
Visible on board
Review
Draft trust copy
Visible on board
Attach brief
Visible on board
Review limits
Visible on board
Workspace
Project
Work unit
Task
People
Vault and Artifacts
Free plan limits
Approved assistant context
Connect an assistant to the workspace, project, work unit, or task it needs.
Role-aware project access
Owners and admins manage broadly. Members see projects linked to their teams.
Safer handling for secrets and files
Vault entries are encrypted and masked. Artifacts use stored metadata and signed handling.
Honest boundaries
No made-up compliance badges, no SSO promise, no DLP promise, and no claim that Agiflow runs assistants.
A project assistant can turn a planning conversation into tasks, comments, status updates, and handoff notes. The catch is context. If the only control is "paste this into chat", teams lose track of what the assistant saw, what the board knows, and who should be allowed into each project.
Agiflow gives teams a more practical operating model: keep the project board as the source of truth, approve assistant access to the right area of work, and use team roles to keep human access clear.
The goal is not more security theater. The goal is a team that can use AI without turning every project into open context.
Assistant access in Agiflow starts with a choice. Connect at the organization level when the assistant needs broad workspace context. Use a project, work unit, or task connection when the assistant should stay focused on one body of work.
Level 1
Workspace
Level 2
Project
Level 3
Work unit
Level 4
Task
The same board can support broad planning and narrow task work. A founder can let an assistant help organize the workspace, while a contributor can point the assistant at one project or task without treating the rest of the workspace as default context.
Interactive connections use authorization and consent before a session is issued. The selected organization and resource context travel with that session, so the assistant works from the context the user approved.
For headless tools, API keys are validated against stored key hash, expiry, enabled state, user identity, and organization scope before requests are allowed.
Governance is not only about the assistant. It also matters who on the team can see each project.
Owner / Admin
Full organization visibility
Member
Team-assigned projects only
Agiflow supports Owner, Admin, and Member roles. Owners and admins can manage the workspace and see projects across the organization.
Members only see projects connected to them through team assignment. If a member is not linked to a project, backend access checks block project-scoped routes instead of exposing the work.
Project access is enforced through shared backend middleware for project-scoped routes. That gives technical reviewers one enforcement pattern to inspect instead of scattered checks in every handler.
Teams should not manage project secrets by pasting them into chat. In Agiflow, secrets and files have their own product surfaces and documented handling.
Masked secret
Role permissions
Owner: Read and Write
Admin: Read and Write
Member: Read
Signed artifact
Project vault entries are encrypted at rest with per-entry IVs. Secret entries are masked in list and read responses, reducing the chance that sensitive values leak through routine project work.
Project environments can set Read and Write permissions by role, including Owner, Admin, and Member.
Artifact metadata lives in the project system. Artifact blobs live in Cloudflare R2. Artifact operations use signed URLs, and task artifact preview or download URLs are kept out of model-visible content when surfaced to assistant widgets.
Limits are part of practical governance. Agiflow checks plan limits when teams create resources such as seats, projects, API keys, and assistant connections. On Free, teams can try the model with 2 seats, 3 projects, 2 API keys, 3 assistant connections, and 30 remote execution minutes per month. Team gives growing teams unlimited seats, projects, API keys, and assistant connections, plus 300 remote execution minutes per seat per month.
Compare plans2 seats on Free
3 projects on Free
2 API keys on Free
3 assistant connections on Free
30 remote execution minutes per month
Team expands seats, projects, API keys, and assistant connections to unlimited
Agiflow should be evaluated for the controls it actually provides, not for claims it does not make.
No SOC 2, ISO 27001, HIPAA, SSO, SAML, DLP, data residency, retention-control, model-firewall, or every-tool-call logging claim on this page.
No broad zero trust or end-to-end encryption language.
No claim that Agiflow runs, hosts, supervises, or orchestrates AI assistants.
No fake testimonials, fake security badges, or invented uptime claims.
Security pages should make review easier. Send your technical reviewer to the implementation-focused docs and guides behind each claim.
Not by default. Assistant connections can be created for organization, project, work unit, or task context. A team approves the context the assistant should use, then can send technical reviewers to the assistant connection docs for setup details.
Agiflow supports Owner, Admin, and Member roles. Owners and admins have broad organization visibility. Members only see projects connected to them through team assignment.
Project vault entries are encrypted at rest with a per-entry IV. Secret values are masked in list and read responses. Project environments can define Read and Write permissions by role.
Artifact metadata is stored in the project system and artifact blobs are stored in Cloudflare R2. Artifact operations use signed URLs. Task artifact preview and download URLs are kept out of model-visible content when surfaced through assistant widgets.
No. Agiflow does not run or host AI assistants. It gives external assistants such as ChatGPT, Claude, Cursor, and compatible tools approved ways to work from the project board.
Agiflow does not claim those controls on this page. The current public trust story focuses on user sign-in, organization roles, project access checks, approved assistant connection context, API key checks, vault encryption and masking, artifact signed handling, and plan limits.
Plan limits are enforced when resources are created. Free includes 2 seats, 3 projects, 2 API keys, 3 assistant connections, and 30 remote execution minutes per month. Team expands seats, projects, API keys, and assistant connections to unlimited, with 300 remote execution minutes per seat per month.
Create one project, invite the people who need it, and connect one assistant to that context. If the board gives your team the right balance of help and control, expand from there.
For the broader category, read MCP project management.