Trust shield
Privacy & Confidentiality

Your privacy is non-negotiable

PSLN protects candidate identity by default. Agencies do not see a candidate's name, photo, current agency or department, certification numbers, resume, email, phone number, or exact identifying details unless the candidate approves disclosure to that specific agency.

Candidate Confidentiality

What agencies see — and what they don't

Until you approve an identity release to a specific agency, your information stays protected.

What agencies may see first

  • Anonymous candidate ID
  • Professional path
  • Years of experience range
  • Broad career background
  • General certifications or qualifications
  • Career goals
  • Geographic interests
  • Desired role type
  • Transition timeline

What agencies do not see first

  • Name
  • Photo
  • Current agency
  • Current department
  • Current communications center
  • POST number
  • Certification numbers
  • Resume
  • Email
  • Phone
  • References
  • Exact identifying details
Security Architecture

How we protect you

Anonymous Candidate ID

Every candidate on PSLN operates behind a secure anonymous candidate ID. Your name, photo, current agency or department, certification numbers, and personal contact information are never displayed to browsing agencies. You are identified only by professional path, experience level, certifications, and career interests.

Mutual Interest Gating

Your identity is only disclosed when both you and an agency have independently expressed interest in each other. This two-way verification ensures that no candidate is ever exposed to an agency without their explicit consent — and vice versa.

Layered Privacy Safeguards

PSLN uses layered privacy, authentication, access-control, and audit safeguards designed to protect candidate information. Sensitive candidate information is separated from agency-visible recruiting data and is subject to role-based access controls and candidate-controlled disclosure.

Gated, Audited Identity Access

Your confidential identity data is stored separately from your anonymous profile and is locked by default. PSLN staff cannot access your private identity without passing multi-factor authentication, providing a documented support, legal, or security reason, and generating a permanent audit log entry. Routine administrators never see your name, certification numbers, or contact details.

Data Minimization

We collect only the minimum data necessary to facilitate connections. We do not harvest personal information, track browsing behavior across external sites, or share data with any third parties — ever.

No Employer Notification

PSLN will never contact, notify, or send any communication to your current employer, department, chain of command, or communications center. Your career exploration is yours alone.

Our Pledge

The PSLN confidentiality commitment

Your profile is invisible to agencies until mutual interest is confirmed

No data is shared with third parties under any circumstances

Your current employer is never contacted or notified by PSLN

You can delete your profile and all associated data at any time

We do not sell, lease, or monetize candidate data — period

Designed with privacy-first workflows, candidate-controlled identity release, role-based access, consent logging, and agency verification

CONFIDENTIALITY PROTOCOL v3.2 — LAST UPDATED JULY 2026

PSLN does not make hiring decisions, conduct background investigations, verify employment suitability, rank candidates, score candidates, contact current employers, or replace agency hiring processes. PSLN is a confidential pre-application connection platform for public service professionals and agencies.

PSLN is currently in test mode and preparing for independent security and privacy review before broader launch. Designed with privacy-first workflows, candidate-controlled identity release, role-based access, consent logging, audit logging, and agency verification. Agencies must electronically sign the Agency Code of Conduct and Platform Participation Agreement before accessing candidate data.