AI-generated from public sourcesThe starting point for every profile: auto-generated by 0-Doubt from public vendor materials, and not yet confirmed by the vendor or an independent analyst. Nothing here is hidden or overstated — it simply has not been reviewed yet.Where every profile starts, before the vendor or an analyst has reviewed it. A higher label means a more independent source — not a better product.How trust works →Secure coding rating: 50/100How this score is computedA product with no known CVEs starts at a neutral score and climbs the longer it goes without one; a product with known CVEs is penalized by severity instead. This one has 0 known CVEs (vendor-level match — see the CVE list below) and is tracked as ~51 days old in our catalog (a stand-in for real release date, which we don't track). The platform admin controls the formula's weights.
Dazz, founded in 2021 and later acquired by Wiz, positioned itself against alert-fatigue-heavy security tools, aiming to cut noise rather than add to it.
Dazz offers a remediation engine that correlates data from multiple sources to manage application risks in a unified platform, pinpointing root issues so engineers can fix vulnerabilities directly in code while integrating cloud context. It is designed for security and engineering teams seeking to reduce noise, prioritize issues, and collaborate across the application lifecycle from code to cloud.
Strengths
leading remediation engine
correlates data from multiple sources
advanced mapping to pinpoint root issues
simplifies remediation for teams
enables code-level vulnerability addressing
leads in Application Security Posture Management (ASPM)
Materials
0
No datasheets, whitepapers, case studies, videos, or demos linked yet.
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