Security and privacy

Sensitive student data deserves trust.

Consent-first onboarding, role-based access, encryption, audit trails, safe AI usage, moderation, and privacy controls built into the foundation.

Layer

Verified identity

Layer

AI recommendations

Layer

Campus-to-career graph

Verified university graph

Aarav Mehta

Verified student ยท Strategy club

Mentors

12

Clubs

6

Roles

18

AI recommendations

Mentor match

Alumni in Product Strategy

94%

Peer match

Finance club founders

88%

Opportunity

Campus venture sprint

82%

Campus graph

Warm intro

Meet Nisha, alumna at a growth-stage fintech. She mentors students exploring product roles.

Security and privacy

Trust is the product surface, not a checkbox.

Verified university networking only works when students control their data, universities can govern access, and recruiters get useful signal without compromising privacy.

RBAC matrix

Student

Alumni

Mentor

Recruiter

Club admin

University admin

Consent-first onboarding with clear university, recruiter, and AI processing permissions.

Role-based access control for students, alumni, mentors, recruiters, club admins, moderators, and university admins.

Encryption in transit and at rest for profiles, resumes, messages, files, audit events, and AI feature data.

Rate limiting, DDoS protection, WAF rules, abuse detection, spam scoring, and secure upload scanning.

Audit logging for identity verification, admin actions, recruiter access, moderation decisions, and data exports.

AI safety controls for prompt injection, toxicity moderation, recommendation abuse, and privacy-preserving inference.