Cryptographic proofs,
not pinky promises.
Kataloop is built on zero-trust architecture where anonymity isn't a feature. It's the foundation. Even malicious insiders or compromised databases can't reveal who said what.
How We Protect Your Data
Kataloop is built on a zero-trust architecture where anonymity isn't a feature. It's the foundation.
Zero-Knowledge Anonymity
We mathematically cannot identify who said what. Not "we promise not to look". We literally cannot.
- Cryptographic hashing with company-specific salts
- Participant IDs (PIDs) are one-way hashes
- No reverse lookup possible, even with database access
- Anonymous at the protocol level, not policy level
Data Minimization
We don't collect what we don't need. Period.
- No PII stored in feedback tables
- Pseudonyms computed on-the-fly, never stored
- No link between auth layer and feedback layer
- Audio transcripts deleted after processing
Infrastructure Security
Enterprise-grade cloud infrastructure with defense-in-depth.
- SOC 2-compliant hosting providers
- Encrypted at rest (AES-256) and in transit (TLS 1.3)
- Security-first development practices
- DDoS protection and WAF
Audit Trails & Logging
Complete visibility into system access and changes.
- Immutable audit logs for all admin actions
- Real-time alerting for suspicious activity
- Quarterly security reviews
- Comprehensive access logging
What We DON'T Collect
Unlike "anonymous" survey tools that still track IP addresses, device fingerprints, and metadata:
Active Protection Mechanisms
Beyond what we don't collect, here's what we actively do to protect your identity.
Zero-Knowledge Architecture
Most "anonymous feedback tools" rely on organizational policy. We rely on mathematics.
The Problem With Traditional Surveys
Traditional anonymous surveys store responses with metadata that makes re-identification possible:
- Timestamps (who was online at 3:47 AM?)
- IP addresses (traced to office locations)
- Browser fingerprints (unique to each device)
- Writing style (linguistic fingerprinting)
Our Solution: Mathematical Anonymity
Irreversible Hashing
Your identity is transformed through one-way cryptographic hashing. There is no key. There is no way back. Even we cannot reverse it.
K-Anonymity Thresholds
Patterns only surface when enough people share them. Dynamic thresholds adjust to team size: 20% for small teams, 5% for large orgs.
Topic-Sensitive Thresholds
Sensitive topics (safety concerns, harassment, power dynamics) surface faster because waiting for 5 voices could mean waiting too long for critical issues.
Users receive a clear warning before submitting sensitive topics: yellow for sensitive, red with confirmation for critical. This ensures informed consent while prioritizing safety.
L-Diversity (l≥3)
Each anonymity group needs diverse feedback types. Prevents "all negative = that person."
NER Detection
AI scans for self-identifying info before storage. Names, projects, unique details, all caught.
Compliance & Certifications
Enterprise-grade compliance for organizations that take security seriously.
GDPR Compliance
Data Protection
How we protect your data at every layer of the stack.
Encryption at Rest
All data encrypted with AES-256. Database-level encryption with key rotation. Backup encryption with separate keys.
Encryption in Transit
TLS 1.3 for all connections. HSTS and secure headers enforced. Perfect forward secrecy enabled.
Infrastructure
SOC 2 compliant cloud providers. Multi-region redundancy. Automated security patching. WAF and DDoS protection.
Access Control
Role-based access with least privilege. MFA required. Session management with automatic timeout. Audit logging.
Future: Personal Development Data
When personal development features launch, they will have a separate, even stronger privacy model:
Still have security questions?
Our security team is available for detailed technical discussions, architecture reviews, and custom compliance assessments.