How enterprise security teams evaluate project management software

Most security evaluations of project management tools cover the same predictable ground. SSO, SOC 2, encryption at rest, and then the review moves on. What tends to get skipped are the questions that actually separate one enterprise vendor from another, and their absence usually surfaces at the worst possible moment: partway through an audit, in the middle of an incident, or under the scrutiny of a compliance review.

This guide is built around those overlooked details. They are the questions that reveal whether a vendor runs a genuine enterprise security program or simply maintains a well-designed trust page.

TL;DR

Enterprise security teams should look beyond SSO, SOC 2, encryption, and vendor trust pages. In 2026, the bigger question is whether a project management tool gives teams enough control over deployment, data residency, identity, audit logs, integrations, AI data flow, and vendor risk.

• If self-hosting, air-gapped deployment, internal identity systems, audit visibility, and self-hosted AI are hard requirements, Plane should be one of the first tools to evaluate.
• If your organization is already standardized on Atlassian, Jira Cloud may be part of the shortlist. But compare how much of the security posture depends on Atlassian Guard, enterprise plans, cloud data residency, and configuration-heavy controls.
• If your team is evaluating cloud-only project management tools for enterprise use, review where critical security controls are plan-restricted, especially around SCIM, audit logs, HIPAA, data residency, admin governance, and AI data handling.
• If AI is part of the project management tool, review whether workspace data is processed through the vendor’s hosted AI layer or through a BYOK architecture. Among the tools compared in this guide, Plane is the only one that supports BYOK/self-hosted AI, letting teams route LLM calls from their own infrastructure to approved providers or private model endpoints.

The rest of this guide breaks down the criteria, trade-offs, and vendor questions security teams should use before shortlisting a project management tool.

Why project management tools carry enterprise security risk

Project management tools occupy an unusual position. Because they manage tasks rather than transactions, they get treated as low-risk software. In reality, they frequently hold more sensitive organizational information than the systems that attract far heavier scrutiny.

Sensitive context inside project management workspaces

• Product roadmaps and strategic timelines
• Personnel assignments and hiring plans
• Engineering architecture discussions and technical decisions
• API tokens and credentials pasted into task comments
• Budget data embedded in project descriptions
• Integration tokens connecting to code repositories, cloud storage, and CI/CD pipelines

Taken together, a well-configured project management account is essentially a map of how the organization operates.

Integrations turn project management tools into access hubs

Once a project management tool has OAuth access to GitHub, Google Drive, Slack, and your identity provider, it stops being peripheral software and becomes a high-value target. Compromise a single account in that tool and an attacker has a foothold to move laterally across a large portion of the tech stack.

Why multi-tenancy can become a blocker for regulated industries

Most cloud project management tools run on shared infrastructure, which means your data sits in the same environment as hundreds of other organizations. For organizations with strict data residency, air-gap, classified-network, or sovereign-control requirements, that arrangement can become disqualifying before the rest of the evaluation begins. It is precisely why security teams need a structured framework for reviewing these tools, and why the review should carry the same rigor applied to any application that touches sensitive data.

1. Deployment model: The first filter

Before assessing a single feature, security teams have to settle one foundational question: where does this tool run, and who controls the infrastructure?

The answer shapes everything downstream. It sets the ceiling on data residency, compliance posture, and blast radius. Working through every other criterion before resolving this one simply wastes time.

The three models

1. Cloud/Multi-tenant SaaS: The vendor handles infrastructure, updates, and backups, and your data shares a physical environment with other customers. Deployment is fast, and the maintenance burden stays low, but most of your security controls hinge on what the vendor has actually implemented. For organizations without strict data sovereignty requirements, the model works well as long as the vendor's security posture is strong. For organizations with strict data sovereignty, air-gap, classified-network, or regulator-imposed hosting requirements, multi-tenancy can create compliance blockers that standard SaaS controls may not fully address.
2. Private cloud/Single-tenant: A dedicated environment that the vendor still hosts and manages. Isolation improves compared with multi-tenant, yet the organization remains dependent on the vendor for infrastructure security and update timing. Keep in mind that "dedicated" carries different meanings across vendors, so verify, contractually, what physical and logical isolation actually entails.
3. Self-hosted/On-premise: The organization runs the software on its own infrastructure, and data never crosses the organizational perimeter. This model is often mandatory in environments with air-gap requirements, strict data residency rules, or regulatory frameworks that rule out third-party cloud hosting. The trade-off falls on operational responsibility, since patching, backups, uptime, and update management all shift to internal teams. Organizations with mature IT operations treat this as a known and manageable cost. Everyone else should make an honest assessment of internal capacity before committing to it.

What to verify for self-hosted options

The word "self-hosted" does not mean the same thing to every vendor, so push past the marketing language:

• Does the software still make periodic calls to vendor infrastructure after installation? If so, it is not truly air-gapped.
• Is deployment handled through Docker or Kubernetes with documented, reproducible setup, or is it a legacy installer with murky dependencies?
• How do security patches arrive? Does the update process depend on internet access, vendor-provided keys, or licenses that require periodic check-ins with vendor servers?
• What does the license actually permit in a self-hosted deployment? Some vendors restrict features, usage, or audit access once you leave their cloud.

Key questions to ask every vendor

• Where is data physically stored, and in which regions?
• Can data be contractually locked to a single geographic region?
• Which subprocessors have access to customer data, and what do they access?
• What is the contractual breach notification timeline?
• For cloud deployments, what is the vendor's policy on law-enforcement data requests?

2. Access management and identity controls

Access control is where most project management tool security assessments spend the bulk of their time, and it is also where vendors differ most dramatically. The questions below reach past whether a feature exists and probe whether the implementation holds up in an enterprise context.

Role-Based Access Control (RBAC)

The question worth asking is not whether the tool offers RBAC, but how granular the roles are and whether they map to real organizational structures.

Things to evaluate:

• Can roles be defined independently at the workspace and project levels? Someone should be able to hold admin rights on one project while having read-only access on another.
• Is there an immutable super-admin role, or can any admin elevate any other user to any permission?
• Can access be scoped to specific work items or issue types instead of entire projects?
• Are there purpose-built roles for external collaborators, read-only guests, limited members, and contractor access that cannot accidentally receive write permissions?

Some tools ship with three fixed roles. Others let you define roles however you like. For organizations with layered reporting structures, that gap matters a great deal.

Single Sign-On (SSO) and identity provider integration

For most enterprise security teams, SSO is non-negotiable. It centralizes authentication, allows MFA enforcement at the policy level, and ties access to the identity provider, so that revoking someone's IdP account instantly revokes their access to the project management tool, rather than leaving it in place for days or weeks while someone remembers to handle it manually.

Questions that reveal implementation quality:

• SAML 2.0 support? (Required for integration with Okta, Azure AD, Ping Identity, ADFS, and most enterprise identity providers.)
• OIDC support? (Increasingly relevant for modern identity stacks.)
• Which providers are supported natively?
• LDAP support? (Critical for organizations running on-premise Active Directory without a cloud identity provider.)
• Can SSO be enforced at the organization level, disabling password-based login entirely for all users?
• Is SSO locked behind an enterprise tier with no way to trial it before committing?

SCIM provisioning

SCIM automates the user lifecycle. A new hire's project management tool account is created from their IdP group membership, and when they leave, access is revoked immediately and automatically, with no manual step required.

The difference between organizations with SCIM and those managing access by hand becomes obvious during offboarding. Manual processes break down, and former employees who retain access to project management systems show up again and again as one of the most commonly cited access control failures in security audits.

What to verify:

• Does SCIM provision users only, or does it also sync groups and map them to RBAC roles?
• What happens to work items assigned to a deprovisioned user? Is there an admin reassignment process?
• Can SCIM-managed groups dynamically control which projects a user can access?

MFA enforcement

Offering MFA and enforcing it are two very different things. A tool that makes MFA available but leaves the decision to individual users offers limited protection. What security teams actually need is admin-level control to require it across the whole organization.

• Can MFA be enforced for all users at the organizational level?
• Does that enforcement cover every authentication path, including password login, magic links, and OAuth, or just one of them?
• Which MFA methods are supported: TOTP, hardware security keys (FIDO2/WebAuthn), push notifications?

Session and token management

• Is the session timeout configurable for both idle timeout and absolute session duration?
• Can admins view active sessions across the organization and terminate them remotely?
• API tokens: can they be scoped to specific operations (read-only, specific projects)?
• Do tokens expire by default, or do they live on until someone revokes them manually?
• Is API activity captured in the main audit log, or handled separately?

Guest and external collaborator access

Organizations regularly bring clients, contractors, and auditors into project management workspaces, and the risk surface that opens up is considerable.

• What can a guest see by default when invited to a project?
• Can guest permissions be scoped to specific work items or boards rather than entire projects?
• Are guest accounts held to the same SSO and MFA enforcement as internal users?
• Do guest login events land in audit logs with the same fidelity as internal user events?

3. Compliance certifications and regulatory fit

A certification is evidence of a security program, not proof that the program covers your particular requirements. Security teams should treat certifications as data points to verify rather than badges to trust on sight.

The certifications that matter in enterprise procurement

SOC 2 Type II

This is the baseline for most enterprise SaaS security reviews in the US, and Type II is the version that counts. It reports on how controls operated over an audit period, typically six to twelve months, rather than confirming they merely existed at a single point in time.

When a vendor shares their SOC 2 report, check:

• Audit date and period: A report from 18 months ago reflects controls that may have changed since.
• Scope: Which systems and services are covered? If the mobile app, data export pipeline, or third-party integrations sit outside the scope, ask why.
• Opinion: Is the auditor's opinion unqualified? Were any exceptions noted? Exceptions do not automatically disqualify a vendor, but they do call for follow-up.
• Can they share the full report rather than just the summary page? A vendor unwilling to hand over the complete report under an NDA is one whose report may not back up the claims they are making.

ISO 27001

Increasingly expected, especially for organizations operating in Europe or serving European customers. ISO 27001 certifies that the vendor has built and maintains an Information Security Management System (ISMS). Note that the transition deadline for ISO 27001:2013 passed in October 2025, so any current certification should be against the 2022 version.

HIPAA

HIPAA is a regulatory requirement, not a certification. Healthcare organizations need the vendor to sign a Business Associate Agreement (BAA) and to document how it handles Protected Health Information (PHI). For healthcare use cases involving Protected Health Information (PHI), tools that cannot support a BAA are ruled out before the technical evaluation even starts.

FedRAMP

Required for cloud products and services used by US federal agencies to process unclassified federal information. Contractors serving federal agencies should verify whether FedRAMP applies directly to the service, or whether other frameworks such as CMMC, DFARS, or agency-specific requirements apply.

GDPR

For organizations handling the data of EU residents, the vendor should sign a Data Processing Agreement (DPA), disclose subprocessors, support data subject rights such as access, deletion, and portability, and document the legal basis for any international data transfers, including adequacy decisions, Standard Contractual Clauses, or other appropriate safeguards.

What to request from vendors

Pull these together for the formal documentation review stage of the evaluation:

• Full SOC 2 Type II report (under NDA)
• ISO 27001 certificate with scope description and expiry date
• DPA template
• Subprocessor list with data categories, purposes, and storage locations
• Executive summary of the most recent penetration test, with remediation status
• Bug bounty program details or vulnerability disclosure policy

Questions that reveal security program maturity

These are the questions that separate a well-run security program from compliance theater:

• What was the scope of your last penetration test, and who conducted it?
• What is your mean time to patch critical vulnerabilities?
• Have you had any security incidents in the last 24 months? If so, how were customers notified and on what timeline?
• Do you maintain a vulnerability disclosure or bug bounty program?
• What is your process for notifying customers when a subprocessor changes?

A vendor who answers these with specifics and without hesitation is running a program built for real operational security. A vendor who funnels every question back into a sales call should be read accordingly.

4. Data security and encryption

Encryption at rest and in transit

These are standard expectations now, but confirm them rather than assume:

• AES-256 encryption at rest
• TLS 1.2 minimum in transit (TLS 1.3 preferred; some vendors still allow TLS 1.0/1.1 for backward compatibility, which counts as a PCI DSS failure for affected organizations)
• Backup encryption using equivalent or stronger standards
• Database-level encryption versus field-level encryption. For environments that require finer-grained data protection, field-level encryption matters

Key management

Encryption is only ever as strong as the way the keys are managed. Vendor-managed keys are the norm across most SaaS deployments, which means the vendor holds the keys and a vendor-side breach could expose your data to a sophisticated attacker. Customer-managed keys (CMKs) change that equation, giving the organization control of the encryption keys so the vendor cannot decrypt data without them.

• Does the vendor support CMKs? At which tier?
• Which KMS integrations work (AWS KMS, Azure Key Vault, HashiCorp Vault)?
• What happens to encrypted data if the customer's key is rotated or revoked?

CMKs are mandatory in some regulated environments and are increasingly expected in security-mature organizations even where no rule requires them.

Data residency and geographic controls

• Can data storage be locked to a specific region or country?
• Is that enforced both contractually and technically, or is it a configuration option the vendor can override?
• For multi-region deployments: does data replicate across regions, and if so, can replication be restricted?
• Are backups stored in the same region as primary data?

Data retention and deletion

• How long is data retained after the contract ends?
• Can the vendor provide a certificate of deletion?
• Are configurable retention policies available, or does the vendor set retention on its own terms?
• What happens to customer data held in backups after account deletion, and on what timeline are those backups purged?

AI features and data handling

Most project management tools now bundle in AI-powered features: summarization, auto-assignment, natural-language search, automated status updates. These capabilities open up a fresh set of data handling questions that security teams should fold into every evaluation.

• Does AI processing happen on the vendor's infrastructure, or does it route through a third-party AI provider (OpenAI, Anthropic, Google, and the like)?
• Is project data used to train or fine-tune models? If so, is there an opt-out, and what does opting out actually cover?
• Can an admin switch AI features off entirely at the workspace or project level?
• If a third-party AI provider is involved, is it listed as a subprocessor in the DPA?
• For self-hosted deployments, can AI features run inside the organization's own infrastructure, using private models, with no data leaving the perimeter?

That final point grows more important as organizations shift more sensitive planning work into project management tools and vendors compete to layer AI capabilities onto all that data.

5. Audit logs and activity visibility

Audit logs are what a security team reaches for when something goes wrong, or when an auditor wants proof that something went right. How well a tool handles logging says a lot about how seriously the vendor takes enterprise security requirements.

What comprehensive audit logs should cover

Minimum scope:

• Login events: successes, failures, IP address, device, geographic location
• Authentication method changes (password resets, MFA enrollment/removal)
• Permission changes: role assignments, access grants, revocations
• Administrative actions: workspace configuration changes, SSO settings, integration connections and disconnections
• Data export events: who exported what, in what format, when
• Project and work item changes: create, edit, delete, at a meaningful level of granularity
• API access events: which token, which endpoint, what action

Log quality criteria

The presence of a logging feature matters less than the quality of its implementation:

• Immutability: Logs should be write-protected. No one, workspace admins included, should be able to alter or delete audit records.
• Timestamps: Full timestamp data, including time zone, rather than the date alone.
• Contextual data: IP address, user agent, and session ID captured for each event.
• Exportability: Can logs be exported in structured formats (JSON, CSV, syslog) for SIEM ingestion, or is export confined to a paginated web UI?
• Retention period: What is the default retention period, and can you configure it? Ninety days rarely satisfies enterprise compliance requirements.

SIEM integration

For organizations with a security operations function, audit logs stored within the project management tool are not sufficient. The data has to reach the SIEM.

• Does the vendor offer native SIEM connectors, or only API/webhook export?
• Which SIEMs are supported natively (Splunk, Microsoft Sentinel, Datadog, Elastic, Sumo Logic)?
• Is log streaming real-time, or batch-based with a delay?
• Is SIEM integration locked behind an enterprise tier?

Access to logs

Who can reach the audit logs, and through what process?

• Can workspace admins pull full audit logs directly, or does access require opening a support ticket with the vendor?
• Are there built-in search and filter capabilities inside the tool's admin interface?
• Are audit logs available on mid-tier plans, or reserved for enterprise pricing?

When a tool gates audit log access behind its top pricing tier, security visibility effectively becomes a negotiating variable. That is a vendor posture worth noting.

6. Integration security and third-party risk

Project management tools function as integration hubs. They wire into code repositories, cloud storage, communication platforms, identity providers, and CI/CD pipelines. Every one of those connections stretches the trust boundary, and every one adds another potential attack surface.

OAuth scope management

When users connect an integration, they grant access through OAuth, and the scope of that access carries real weight.

• What permissions does each native integration request by default? Are they minimal and necessary, or sweeping?
• Can admins restrict which integrations users are allowed to connect?
• Is integration approval an admin-only action, or can any user connect any supported integration to their account?
• Is there a centralized admin view of every active integration across the workspace?

API security

For organizations that lean on the project management tool's API for reporting, automation, or connections to internal systems:

• Can API tokens be scoped to specific operations (read-only, specific project access)?
• Do tokens expire by default, or stay valid until someone revokes them by hand?
• Is rate limiting applied to the API?
• Can API access be restricted to approved IP ranges?
• Are API access events recorded in the main audit log?

Webhook security

• Can outbound webhook destinations be limited to an admin-approved allowlist?
• Are webhook payloads signed so receiving systems can verify authenticity?
• Are failed webhook deliveries logged, and can you see what data the payload carried?

Evaluating the vendor's own third-party risk

Using a project management tool means extending trust to every vendor that project management tool trusts. Its subprocessor list is, in effect, your extended attack surface.

• Request the full subprocessor list, complete with name, data categories, purpose, and geographic location.
• Understand what each subprocessor touches, since compute infrastructure, email delivery, and analytics are meaningfully different exposures.
• Review the vendor's policy for notifying customers of subprocessor changes. GDPR requires processors to inform controllers of intended changes involving the addition or replacement of subprocessors and give the controller an opportunity to object, so verify how the vendor handles subprocessor change notices in practice.
• Ask whether the vendor conducts its own vendor risk assessments for subprocessors and what standards those assessments adhere to.

7. Governance controls and administrative security

Governance controls are where security policy turns into enforcement. IdP-level controls guard the front door. Governance controls decide what a person can do once they are inside.

Workspace-level administrative controls

• Can admins limit which users are allowed to create new projects, workspaces, or boards?
• Can admins control which integrations get connected, and by whom?
• Can admins restrict or disable bulk data export for non-admin users?
• For non-SSO accounts: can admins configure password complexity and rotation policies?
• Is there a configurable IP allowlist that confines access to known corporate network ranges?

Workflow and approval controls

In enterprise environments, certain state changes ought to require explicit approval. A task marked complete by a junior team member may need sign-off from a lead. A project archived during an audit may call for a documented review.

• Can workflow transitions be gated behind approval requirements?
• Can approval chains be defined at the project level with specific approvers or approver roles?
• Are unapproved state transitions blocked at the application level, or only flagged as alerts after they happen?
• Are changes to the workflow configuration themselves recorded in the audit trail?

Data classification and sensitivity controls

Projects do not all carry the same sensitivity, and security teams benefit from tools that allow controls to differ based on classification.

• Can projects be designated as restricted, limiting access by default to specific roles or named users?
• Can certain roles be blocked from downloading or exporting attachments from sensitive projects?
• Are there controls that prevent external sharing from restricted projects, regardless of a user's preferences?

Incident response support from the vendor

• Does the vendor have a documented and tested incident response plan?
• What is the contractual breach notification timeline? For GDPR-covered personal data breaches, controllers generally must notify the supervisory authority without undue delay and, where feasible, within 72 hours of becoming aware of a reportable breach. Processors must notify the controller without undue delay.
• Is there a named security contact or a security team available to enterprise customers, rather than a generic support queue?
• Does the vendor take part in coordinated vulnerability disclosure, and is its bug bounty program active or limited to invited researchers?

What the evaluation process actually looks like

Criteria on their own produce incomplete reviews. Most enterprise security evaluations of project management tools follow a recognizable set of stages, and the order in which you run them matters.

Stage 1: Initial filter

Before any demo or vendor conversation, apply the hard filters:

• Does the deployment model (cloud, self-hosted, private cloud) fit the organization's requirements?
• Does the vendor hold a current, in-scope SOC 2 Type II report?
• Is SSO available, and available at the tier you are considering?

Tools that fail here go no further. Filtering early keeps the evaluation focused on vendors that can clear the minimum bar.

Stage 2: Vendor questionnaire

Send a structured security questionnaire. Standard frameworks like SIG Lite (Standardized Information Gathering) work well, as does a custom InfoSec questionnaire. How the vendor responds tells you nearly as much as what they say. Look for:

• Specificity: vague answers to specific questions point to shallow documentation
• Completeness: did they answer every question, or push certain categories off to a follow-up call?
• Response time: enterprise-grade vendors have documented answers on hand, and a two-week turnaround on a questionnaire suggests a security program that has not matured

Stage 3: Documentation review

Request and work through the full evidence package:

• Full SOC 2 Type II report (under NDA)
• ISO 27001 certificate with scope
• Penetration test executive summary and remediation status
• DPA and subprocessor list
• Incident disclosure history (if any)

Treat the subprocessor list as a small vendor assessment in its own right. If a subprocessor has been through a notable public incident and the project management vendor has no documented mitigation, that is a material finding.

Stage 4: Technical deep-dive

Screenshots in a sales deck do not count as verification. Request sandbox or admin access and validate the claims for yourself:

• RBAC configuration against realistic role scenarios from your own organization
• SSO enforcement settings (can you actually disable password login?)
• Audit log scope and export capability
• API token scoping and expiry behavior
• Admin controls for integration management

If a vendor refuses to provide a functional sandbox before purchase, let that shape your confidence in the technical claims.

Stage 5: Contract and legal review

Security evaluation does not stop at the technical layer. The contract defines what the vendor is genuinely accountable for.

• Is the DPA pre-signed and ready, or does it require negotiation?
• What is the contractual breach notification timeline?
• What are the data deletion SLAs once the contract ends?
• What liability does the vendor accept for a breach originating in their systems?
• Are there provisions preventing the vendor from swapping subprocessors without notice?

Stage 6: Ongoing monitoring

Approving a tool does not close out the vendor relationship. Security teams should plan for:

• Annual re-assessment tied to the vendor's SOC 2 renewal cycle
• Tracking the vendor's subprocessor change notices
• Watching the vendor's public security disclosures and incident history
• Reviewing the SOC 2 report every year, not only at initial procurement

How Plane addresses enterprise security requirements

Plane is strongest for organizations where the security review cannot stop at SaaS controls. If the evaluation requires self-hosting, air-gapped deployment, internal identity systems, audit visibility, and AI that can run within the customer’s own environment, Plane aligns directly with that review path.

1. Deployment

Plane supports cloud, commercial self-hosted, and fully air-gapped deployment models. Commercial self-hosted deployments run inside the customer’s infrastructure, with workspace data and AI context kept within the customer’s perimeter. By design, license and seat sync are the only required outbound calls. For environments that require zero outbound connectivity, Plane’s air-gapped edition supports zero external calls, offline license activation, signed offline bundles, offline updates, and no telemetry.

For teams that want AI capabilities without routing data through Plane’s hosted AI layer, Plane Enterprise Grid supports self-hosted AI. Teams can run local models or connect to approved private endpoints such as Azure OpenAI, AWS Bedrock, or private LLM endpoints, depending on their internal security architecture.

2. Access management

• RBAC: Role-based access control operates at both the workspace and project levels, and roles can be configured independently for each project.

• SSO: SAML and OIDC are supported on both cloud and self-hosted deployments across all paid plans, so SSO is not held back behind an enterprise upgrade.

• LDAP: Supported on Enterprise Grid, covering organizations that run on-premise Active Directory without a cloud identity provider.

• SCIM: Available on Enterprise Grid for automated user provisioning and deprovisioning, with group sync support for mapping IdP groups to Plane projects and roles.

• MFA: Plane supports multi-factor authentication for an additional verification layer during login. For organizations using SSO, MFA can be enforced through the identity provider, keeping authentication policies centralized across Plane and other enterprise tools.

3. Compliance

• SOC 2 Type II: certified
• ISO 27001: certified
• GDPR: compliant, with DPA available
• CCPA: compliant
• FIPS 140-3: validated cryptography

4. Audit logs

Comprehensive audit logs cover workspace and project-level actions, administrative changes, access events, and API activity. Enterprise Grid includes API-level audit logs accessible to workspace administrators, and logs are exportable for SIEM integration.

5. Governance

Enterprise Grid includes Custom Workflows with Approval Flows, letting organizations define required approval steps for state transitions within configured workflows. Workspace Work Item Types help standardize work structures across the workspace by letting admins define types and properties centrally. Global admin policies apply identity, access, security, and audit controls centrally across unlimited workspaces.

6. AI and data handling

Plane does not use customer workspace data or uploaded content to train underlying models. For Enterprise Grid and self-hosted AI deployments, teams can run Plane AI within their own environment or connect it to approved private model endpoints, depending on their deployment and security requirements.

Security feature comparison across project management tools

The table below compares project management tools against the security requirements most likely to affect enterprise procurement. It is based on public vendor documentation and trust/security pages reviewed in July 2026. Features can vary by plan, contract, deployment model, and region, so buyers should validate final availability during procurement.

Notes on the table:

• Jira Data Center: New Data Center purchases are no longer available as of March 30, 2026. Existing customers can continue using and renewing Data Center until the announced end-of-life date in March 2029.
• Atlassian Guard: SAML SSO, SCIM provisioning, API token controls, and organization-level audit logs for Jira Cloud Standard and Premium require Atlassian Guard. Guard Standard is included with eligible Enterprise Cloud plans.
• HIPAA/BAA: HIPAA support varies by vendor, plan, configuration, and contract. Buyers should confirm BAA availability, covered products, excluded features, and required setup steps before entering PHI into any project management tool.
• Data residency: Data residency options vary by plan, region, subprocessors, and deployment model. Self-hosted and air-gapped deployments give teams the most direct infrastructure control, while cloud vendors should be reviewed for region availability, backup location, and subprocessor handling.
• Audit logs and SCIM: Several vendors offer audit logs and SCIM only on enterprise plans, compliance add-ons, or identity/security packages. Buyers should verify exact plan availability during procurement.
• Self-hosted AI: In this table, “self-hosted AI” means AI capabilities that can run inside the customer’s own environment or connect to customer-approved private model endpoints, rather than routing project data through the vendor’s hosted AI layer.

Choose a project management tool that can hold up under security review

Security evaluation does not end with a trust page. Once a project management tool becomes part of daily work, it starts carrying roadmaps, architecture discussions, customer context, internal decisions, attachments, integrations, and AI-generated summaries. At that point, the real questions are practical: where the data lives, who can access it, what gets logged, what leaves the environment, and how quickly the vendor can prove its controls.

That is why enterprise teams should evaluate project management software as an operational infrastructure, not as lightweight productivity software. The tool has to support the way security, IT, compliance, and engineering teams actually review risk: deployment model first, identity controls next, then auditability, data residency, integration scope, AI data handling, and vendor accountability.

For organizations evaluating project management software for enterprise security, the next step is validating those requirements against a real deployment. Talk to our sales team to discuss your security, deployment, compliance, AI, and procurement requirements.