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Avric.ai

SECURITY & DATA PRIVACY

Security designed around responsible recruiting.

Avric.ai is designed with organization-level data separation, controlled access, secure application workflows, and recruiter oversight at the center of the platform.

RECRUITER
SECURE ACCESS
ORGANIZATION BOUNDARY
CANDIDATE DATA
AI ANALYSIS
RECRUITER REVIEW

ACCESS · CONTEXT · ANALYSIS · REVIEW — CONNECTED, WITH THE RECRUITER IN CONTROL

ORGANIZATION DATA SEPARATION

Keep each organization's recruiting data in its own context.

Avric.ai uses organization-scoped application logic so customer records are associated with the correct organization and accessed within that organizational context.

  • Organization-scoped records
  • Tenant-aware application workflows
  • Controlled customer context

OTHER ORGANIZATION

OTHER ORGANIZATION

ORGANIZATION BOUNDARY
CANDIDATES
JOBS
RECRUITER ACTIVITY
ANALYSIS CONTEXT

RECORDS STAY WITHIN THEIR OWN ORGANIZATION CONTEXT

SECURE ACCESS

Access designed around authenticated users and defined roles.

Avric.ai uses authenticated application access and role-based permissions so different users can work within the responsibilities assigned to them.

  • Authenticated access
  • Role-based permissions
  • Administrative and recruiter roles
USER
UNAUTHENTICATED
AUTHENTICATION
ROLE PERMISSION
AUTHORIZED WORKSPACE

ACCESS FOLLOWS AUTHENTICATION AND ASSIGNED ROLES

PROTECTED CONNECTIONS

Candidate and recruiting data move through protected application workflows.

Production access is served over HTTPS, helping protect information transmitted between users and the Avric.ai application.

  • Production access served over HTTPS
AUTHENTICATED ACCESS
PROTECTED WORKFLOW
RESUME
JOB DESCRIPTION
CANDIDATE PROFILE
RECRUITING ACTIVITY

SERVED OVER HTTPS · AUTHENTICATED APPLICATION WORKFLOWS

RESPONSIBLE AI

AI supports the decision. Recruiters make it.

Avric.ai uses AI to support recruiter judgment, not replace it. Candidate analysis is designed to surface supporting evidence, strengths, gaps, and reasoning so recruiters can review the context behind a recommendation.

  • Evidence-backed context
  • Strengths and gaps
  • Why This Score?

EVIDENCE & INFERENCE

Know what is supported and what needs review.

Where appropriate, Avric.ai distinguishes evidence derived from candidate information from AI-generated inference, helping recruiters understand what is directly supported and what requires human review.

EVIDENCE — FROM CANDIDATE INFORMATION

STRENGTHS
GAPS

INFERENCE — NEEDS HUMAN REVIEW

INFERRED CONTEXT
WHY THIS SCORE?
RECRUITER REVIEW — THE DECISION STAYS HUMAN

EVIDENCE AND INFERENCE ARE VISIBLY DIFFERENT LAYERS

ADMINISTRATIVE ACCOUNTABILITY

Important platform actions can be traced.

Selected administrative and platform actions are recorded so important changes can be reviewed and traced over time.

EVENT 01 · USER ACTION
EVENT 02 · ROLE ACTION
EVENT 03 · ADMINISTRATIVE CHANGE
EVENT 04 · RECORDED EVENT

SELECTED ACTIONS CAN BE REVIEWED AND TRACED OVER TIME

OUR COMMITMENT

Security is an ongoing process.

We continue to review and strengthen Avric.ai's security, privacy, access controls, and operational practices as the platform evolves.

ACCESS CONTROL
DATA SEPARATION
RESPONSIBLE AI
RECRUITER OVERSIGHT

Have a security or privacy question?

Contact our team and we will route your question to the right people.