Public, partner, and administrative authority are separate. Partner visibility is limited by organization, role, and location, and sensitive changes require recent authenticator verification.
Trust Packet
Blacklight Resumes Trust Packet
Blacklight protects applicant and partner data through server-scoped access, stronger authentication for sensitive actions, bounded service providers, private request artifacts, durable audit evidence, and record-specific retention and deletion controls.
This packet states which controls operate today, what evidence supports them, and which certifications or contractual commitments Blacklight does not claim. Questions about a specific request, delivery, recovery, or support still belong on the status and help pages.
Blacklight Resumes is operated by Blacklight AI Resumes Inc.
Request content, operational evidence, billing records, and legal or security records follow different retention, minimization, and deletion rules based on purpose.
Production changes use reviewed source, exact migration and runtime checks, durable release controls, health verification, and recorded rollback inventory.
Assurance boundary
Current safeguards and current limits
Blacklight presents implemented controls as implemented controls. It does not turn internal testing into a certification or turn provider assumptions into guarantees.
Operating today
- Adult-only public and partner admission.
- Organization, role, and location-scoped partner access.
- Recent authenticator verification for sensitive partner and admin changes.
- Scheduled retention, minimization, deletion, and legal-hold workflows.
- Reviewed production releases with migration and runtime readback.
Not claimed
- SOC 2 certification or an independent penetration-test conclusion.
- A VPAT, formal WCAG conformance, or completed assistive-technology audit.
- Attorney approval of the Terms, Privacy Policy, or retention schedule.
- Institution SSO, second-person approval, multi-region failover, or contractual RTO/RPO.
- Provider deletion or retention beyond evidence Blacklight can verify.
Service overview
Blacklight Resumes provides resume-generation and job-readiness support for individuals and for organizations that want to offer structured help to their own users. The platform is built to keep the public experience simple while keeping privileged partner and admin actions behind stronger access controls.
Security and access controls
Admin and partner access are separate, partner visibility is limited by organization, role, and location, and sensitive changes require recent authenticator verification and audit evidence.
Data handling and retention
Request data stays tied to generation, delivery, support, billing, and accountable operations. Record-specific retention, minimization, legal-hold, and deletion workflows limit how long sensitive content remains.
AI usage and model handling
Applicant-facing AI is limited to bounded resume-generation and supporting analysis. Separate internal model workflows assist partner research, materials, quality assurance, and editorial work without replacing Blacklight’s official business records.
Service readiness and privacy practices
Production uses reviewed releases, explicit rollback inventories, monitored queue and service health, private request artifacts, a tracking-light public site, and documented incident and recovery boundaries.
Accessibility and delivered documents
Trust review often reaches accessibility and document handling quickly. The current approach is practical and backed by current implementation, but still narrower than a formal certification claim.
Accessibility baseline
Blacklight maintains an automated accessibility baseline across key public review surfaces and preview-safe portal shells. The practical target is WCAG 2.2 AA, but Blacklight does not currently describe this as a formal accessibility certification.
DOCX document format
Delivered resume and cover-letter DOCX files stay plain-text and single-column for applicant tracking system (ATS) compatibility while also using meaningful headings, list structure, language information, and document properties to improve assistive-technology handling.
Partner access and program controls
The current partner system is not just a billing page. It includes controls intended to limit visibility appropriately while still letting a partner run its program.
Access by role and location
Partner access depends on each person’s role and can also be limited by location so staff do not automatically see account-wide request activity when narrower visibility is more appropriate.
Hosted-link and embed controls
Partners can manage hosted intake links and embeds, and higher-risk actions such as revocation or location deletion are intentionally constrained to the right roles and flows.
Aggregate reporting
Reporting-only users and special-event organizers in the default aggregate-only mode can review program activity without receiving participant records. Participant-level access is reserved for authorized staff with a legitimate participant-support role.
Sponsor boundary
Funding a special event does not grant the sponsor attendee names, contact information, resumes, request logs, portal access, mailing-list rights, or recruiting access. Any future follow-up requires a separate voluntary participant choice.
Billing and review state
Recurring billing and special-event terms are managed as explicit states. Event records distinguish fixed blocks from flexible capacity, preserve the accepted reserve and spending ceiling, create reconciliation invoices as drafts, and require authorized Blacklight approval before a draft is finalized or sent.
Agreement evidence
Before event access is activated, Blacklight records the accepting organizer representative, work email, title, written acceptance method and time, quote or order reference, terms version, and a versioned record of the accepted terms.
Table of contents
Use this as a circulating packet. Open only the section that matches the reviewer's question instead of forwarding every trust document at once.
- 1. Security overviewSecurity reviewers, technical approvers, and mission-driven partners validating baseline controls before rollout.
- 2. Data handling summaryPrivacy, legal, and operations teams reviewing data scope and handling expectations.
- 3. Retention and deletion summaryInstitutions reviewing deletion workflows, privacy requests, and retention controls.
- 4. Incident response summaryTeams that need to know how incidents, outages, and high-risk operational issues are handled.
- 5. Access control summaryReviewers validating privileged access, role separation, and operator safeguards.
- 6. Audit logging summarySecurity and compliance reviewers focused on traceability and sensitive-event review.
- 7. AI usage and model handling summaryOrganizations reviewing model usage, limits on AI use, and how exceptions are handled.
- 8. Subprocessor listProcurement and legal teams reviewing vendor dependencies and external service providers.
- 9. Backup and recovery summaryTeams validating resilience expectations before rollout or paid conversion.
- 10. Institutional questionnaire templateInstitutional reviewers using standardized questionnaires across libraries, colleges, workforce groups, nonprofits, and related organizations.
Section 1
Security overview
Security reviewers, technical approvers, and mission-driven partners validating baseline controls before rollout.
A high-level summary of the system, sign-in protections, and access controls for an organization’s first review.
Blacklight separates public, partner, and administrative authority. Partner access is server-scoped to one organization and its assigned role or locations, while the highest-risk actions require a current session, recent authenticator verification, and an auditable reason.
Public requests, partner accounts, and admin tools are separated so the same person does not automatically have the same level of access everywhere.
Sensitive actions such as billing changes, privacy handling, partner-access changes, and high-risk admin actions sit behind stronger authentication requirements and auditability.
The public request form stays simple, while privileged controls are limited to signed-in staff and authorized partner users.
Production migrations and runtime releases use reviewed source, exact-target checks, durable release controls, health verification, and recorded rollback inventory rather than an untracked dashboard-only deployment path.
Blacklight also maintains an automated accessibility baseline across key public review surfaces and preview-safe portal shells, while keeping the trust claim itself narrower than a formal accessibility certification.
Section 2
Data handling summary
Privacy, legal, and operations teams reviewing data scope and handling expectations.
What partner and end-user data enters the system, where it goes, and how its use is limited to providing the service.
Blacklight limits collection to the service path and does not operate an advertising-profile business. Applicant content, operational records, partner configuration, and billing evidence are separated by purpose and access boundary.
Blacklight collects the information needed to generate, deliver, and support resume requests: intake details, uploaded documents, selected targets, delivery records, and support or privacy follow-up when needed.
That data stays tied to the service path rather than being reused for ad targeting, third-party tracking, or unrelated marketing profiling.
Special events default to aggregate-only organizer reporting. Sponsors do not receive participant names, contact information, resumes, request logs, portal access, or recruiting rights merely because they funded access.
The public site is intentionally cookie-light and tracking-light, so the normal assumptions people make about ad-tech stacks do not apply here.
Launch verification stores bounded operational evidence, including the authorized actor, active campaign, configuration fingerprint, and a hash of the confirmed public link rather than a reusable raw link token.
Delivered resume and cover-letter DOCX files stay plain-text and single-column for applicant tracking system (ATS) compatibility. They also use Word headings, lists, language information, and document properties to work better with assistive technology.
Section 3
Retention and deletion summary
Institutions reviewing deletion workflows, privacy requests, and retention controls.
How long information is kept, how scheduled cleanup works, and what happens when someone requests deletion.
Blacklight applies record-specific retention and scheduled minimization even when nobody submits a deletion request. A validated request starts a separate deletion workflow, while billing, audit, dispute, security, and legal-hold evidence may follow longer justified schedules.
Blacklight uses normal retention windows and scheduled cleanup rather than keeping full personal information indefinitely by default.
Some records are reduced or redacted on schedule even when no one asks for deletion. A validated deletion request can move the specific record into a faster removal process.
Service records are kept only as long as needed to deliver the service, support the request, and meet limited legal or security obligations before they are reduced or removed.
Section 4
Incident response summary
Teams that need to know how incidents, outages, and high-risk operational issues are handled.
How serious service or security issues are prioritized, investigated, and handled.
Operational alerts, queue state, delivery state, billing exceptions, and privacy work are visible through bounded administrative tooling. Incidents are triaged by impact, contained where possible, and carried through recovery and follow-up without claiming round-the-clock staffed response.
Serious issues follow a defined response process instead of being treated like ordinary support questions.
The focus is on quick assessment, a focused investigation, and limiting harm when something affects privacy, delivery, partner access, or service availability.
Public trust materials stay high-level on purpose, but the response process includes escalation, containment, communication, and follow-through when a real issue affects the service or data handling.
Section 5
Access control summary
Reviewers validating privileged access, role separation, and operator safeguards.
Admin and partner permissions, with multi-factor authentication and separate roles for higher-risk actions.
Partner authority comes from active server-side membership, role, and location scope rather than editable profile hints. Reporting-only access excludes participant records, and sponsorship alone grants no participant or portal access.
Partner and admin capabilities are split by role so routine visibility, billing actions, user management, and higher-risk controls do not all sit behind the same permission level.
Sensitive actions require stronger authentication, especially for account changes, partner-access decisions, or administrative overrides.
Location-aware and role-aware access boundaries are part of the model so larger organizations can limit what staff see when broader access is not appropriate.
Reporting-only users and aggregate-only event organizers do not receive participant records. Operational participant access must be explicitly assigned for a legitimate support need, and sponsorship alone never grants that access.
Section 6
Audit logging summary
Security and compliance reviewers focused on traceability and sensitive-event review.
Sensitive admin and billing actions are logged for review and traceability.
Sensitive administrative, partner-access, billing, privacy, and lifecycle actions leave reviewable records. Historical Terms acceptance, authorizations, invoices, and prior decisions are preserved as point-in-time evidence rather than rewritten to match later account state.
Higher-risk actions such as sensitive admin updates, billing changes, privacy handling, and partner-access changes are captured for traceability.
Partner portal terms acceptance, event quote acceptance evidence, reconciliation-draft creation, and authorized Blacklight invoice approval are recorded as separate reviewable steps.
The goal is not surveillance of ordinary use. It is accountability around the kinds of actions that matter in support, privacy, and partner operations.
This gives reviewers a first-pass answer to “how would you know who changed something important?” without opening internal dashboards during procurement.
Section 7
AI usage and model handling summary
Organizations reviewing model usage, limits on AI use, and how exceptions are handled.
Where AI is used, what automated checks happen before release, and when human support becomes involved.
Applicant-facing AI is used inside a bounded resume-generation pipeline, not as an open-ended customer chat. Blacklight also uses bounded internal model workflows for partner research, materials, quality assurance, and editorial support; those outputs remain subject to review and do not replace official business records.
AI is used to help generate resumes. It is not an open-ended chat product operating across the whole site.
The service creates and compares a limited number of draft versions, keeps the version that passes more quality checks, and runs automated checks for missing or inconsistent content before release.
Blacklight does not manually approve every package. Human support handles exceptions such as delivery, payment, access, or an unresolved service failure.
Applicant-request model processing is limited to the request. Blacklight stores the service results it needs in its own system instead of relying on an OpenAI-hosted conversation history as the business record.
Separate internal model workflows can assist partner research, commercial materials, quality assurance, and editorial work. They are bounded to those administrative tasks and remain review-controlled.
Section 8
Subprocessor list
Procurement and legal teams reviewing vendor dependencies and external service providers.
Current core vendors involved in hosting, billing, identity, messaging, scheduling, and model operations.
The current service path uses a bounded provider set with named purposes: Supabase, Cloudflare Workers, Stripe, Postmark, Zoho, and OpenAI. Provider-side deletion, residency, or availability is not claimed beyond evidence Blacklight can verify.
Current core vendors include Supabase for application data, auth, and storage; Stripe for payments; Postmark for transactional email delivery; Cloudflare for web delivery and edge infrastructure; Zoho for business email, CRM-linked outreach logging, and meeting scheduling where enabled; and OpenAI for resume generation plus bounded internal research, editorial, quality-assurance, and partner-material workflows.
Each provider performs a specific part of the service and is not part of a larger advertising, analytics, or reseller network.
The provider list is intentionally narrow so partner review can focus on the services actually involved in hosting, delivery, payments, and AI processing.
Section 9
Backup and recovery summary
Teams validating resilience expectations before rollout or paid conversion.
Recovery approach and continuity expectations for partner-facing operations.
Blacklight combines provider-managed durability, bounded request recovery, queue replay, additive-schema forward recovery, reviewed runtime rollback inventories, and operational runbooks. It does not currently promise custom multi-region failover or contractual recovery-time objectives.
Core operations are set up with continuity in mind so a temporary problem in one layer does not automatically become a total service loss.
The public trust page does not publish internal recovery instructions, but it explains that recovery and service continuity are treated as ongoing requirements.
The practical expectation is straightforward: Blacklight is run so temporary faults can be recovered from, partner-facing operations can be restored, and continuity is part of normal operations rather than an afterthought.
Section 10
Institutional questionnaire template
Institutional reviewers using standardized questionnaires across libraries, colleges, workforce groups, nonprofits, and related organizations.
A starting point for library systems, colleges, workforce groups, nonprofits, and other adult-serving institutional reviewers when a formal review is required.
Blacklight can respond to an institution-specific security, privacy, accessibility, or procurement questionnaire using current evidence. The template does not convert implementation evidence into a certification, legal opinion, or contract commitment.
The questionnaire packet is the structured next step for institutions that cannot move forward on a public trust page alone.
It is meant to shorten back-and-forth by giving Blacklight and the partner a common starting point instead of starting every review from scratch.
It is best suited to organizations that already use a formal procurement checklist, vendor questionnaire, or privacy/security review template and need Blacklight to answer within that structure.
Review follow-up
If your organization needs a deeper procurement, privacy, or security review after this packet, request formal trust follow-up. Blacklight can then respond with questionnaire support, follow-up clarification, or the next review material appropriate to the current review stage.
If diligence has become a real rollout decision, start partner review. If the team prefers a walkthrough, use the trust review booking path instead of relying only on email.
Request a formal trust review when procurement, privacy, or questionnaire questions need a documented response with the packet attached.
Request a formal trust reviewStart partner review when trust review is part of a real program, pilot, or rollout decision rather than a document-only check.
Start partner reviewBook a live trust review when the next useful step is a meeting, not another back-and-forth email exchange.
Book live trust reviewUse status first for delivery, resend, or secure-link questions tied to one request. Trust documents do not replace request support.
Check status first