Audience

Enterprise security architects who need to discover, prioritize, remediate, and govern cryptographic risk while preparing their organization for post-quantum security

About QIZ

QIZ is a Cryptography Management Platform built to move organizations from cryptography chaos to quantum resilience. Today’s cryptography is fragmented, hidden, and hard to manage; QIZ untangles the chaos while preparing teams for tomorrow’s quantum threat. Most organizations do not know what cryptography they use or where it lives, so QIZ makes the invisible visible by revealing hidden risks, connecting scattered pieces into one clear picture, and replacing guesswork with automation and insight. It was built for end-to-end discovery, prioritization, remediation, and governance, turning cryptographic complexity into clarity and resilience. QIZ maps assets against policy, revealing vulnerabilities and dependencies, then ranks risks by context, impact, and remediation effort. From outdated TLS and weak cipher suites to unencrypted databases, weak encryption, and control violations, QIZ cuts through the fog and turns scattered alerts into prioritized, step-by-step action plans.

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Integrations

API:
Yes, QIZ offers API access
No integrations listed.

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Company Information

QIZ
Founded: 2025
Israel
qizsecurity.com

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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

QIZ Frequently Asked Questions

Q: What kinds of users and organization types does QIZ work with?
Q: What languages does QIZ support in their product?
Q: What kind of support options does QIZ offer?
Q: Does QIZ have an API?
Q: What type of training does QIZ provide?

QIZ Product Features

Data Security

Sensitive Data Compliance
At-Risk Analysis
Identity / Access Management
Secure Data Transport
Audits
Antivirus/Malware Detection
Data Masking
Database Security
Data Center Security
Data-Centric Security
Data Loss Prevention
Logging / Reporting
Alerts / Notifications
Mobile Data Security
Encryption
Policy Management
Data Discovery
Monitor Abnormalities
Data Classification