Security Architecture

Engineered for absolute trust

Career Navigator AI is built on zero-trust principles. We isolate your data, verify every eligibility claim, and secure your documents in private enclaves.

Zero-Trust AI

Isolated AI Enclaves

AI career modeling runs in sandboxed environments, ensuring your personal data never leaks to external model providers.

Sandboxed AI< 0.2s latency
Verified Rules

Deterministic Logic

Eligibility for government exams is calculated by deterministic backend engines, not by unpredictable LLM responses.

Eligibility check

Deterministic logic

Verified
Privacy First

Data Minimization

We collect only essential profile data. You control your roadmap visibility and can purge your history at any time.

Data minimization
Encryption at rest
Restrict access
Secure Vault

Encrypted Storage

Resumes and sensitive documents are stored in private, encrypted buckets with short-lived, authorized access tokens.

DOC

Resume vault

Vault accessible

Review our security and privacy documentation

Learn how we protect your career data and maintain compliance.

security_audit |> trace_roadmap()

Engineering a Secure Career Platform

Follow our security-first development roadmap, detailing the architectural milestones taken to ensure user data privacy and platform integrity.

CompletedQ1 2024•Phase 01
Security Foundation
Zero-trust architecture design

Established the core security boundaries, implementing strict RLS policies and database isolation to ensure user data remains siloed and protected from unauthorized access.

Security Logicverified
CREATE POLICY user_data_isolation ON profiles
FOR ALL USING (auth.uid() = user_id);
Status
RLS coverage across all tables
100%
Supabase Auth integration
Row Level Security enforcement
Database schema hardening
CompletedQ2 2024•Phase 02
Secure Data Pipeline
Encrypted resume processing

Implemented private storage buckets with signed URL access, ensuring that sensitive user documents are never publicly exposed and are processed in isolated environments.

Security Logicverified
storage.bucket('resumes').create_signed_url(path, 3600)
Status
Encryption standard for uploads
256-bit
Private storage bucket policy
File type validation logic
Signed URL access control
CompletedQ3 2024•Phase 03
AI Security Enclave
Prompt injection mitigation

Deployed a sandboxed AI gateway that sanitizes inputs and validates model outputs against strict schemas, preventing prompt injection and unauthorized tool execution.

Security Logicverified
validate_schema(llm_output) |> sanitize_input(user_msg)
Status
Validation latency per request
< 50ms
Structured output validation
Prompt injection defense
Request rate limiting
CompletedQ4 2024•Phase 04
Compliance & Audit
DPDP Act & OWASP alignment

Conducted comprehensive security audits and implemented structured logging to ensure compliance with data protection regulations and industry security standards.

Security Logicverified
log_event(type='auth_failure', severity='high', user_id=id)
Status
Security audit compliance score
A+
Structured operational logging
DPDP Act compliance review
Automated security scanning
Active ReleasePresent & Ahead•Phase 05
Continuous Hardening
Automated penetration testing

Integrating automated security testing into the CI/CD pipeline to proactively identify vulnerabilities and maintain a robust defense-in-depth posture.

Security Logicverified
run_security_scan(pipeline) |> report_vulnerabilities()
Status
Automated threat monitoring
24/7
CI/CD security integration
Automated dependency scanning
Real-time threat alerting
security_status |> compliant()

Secure Career Guidance Platform

Learn more about our commitment to data privacy, secure AI integration, and the rigorous standards we maintain to protect your professional journey.