Dazz is a unified remediation platform that sits between security detection tools and development teams. Rather than adding another scanner, Dazz takes findings from your existing security stack, correlates them to root causes in code, and automates the fix process.
The platform was acquired by Wiz to combine Dazz’s remediation expertise with Wiz’s cloud security platform, creating an end-to-end code-to-cloud remediation workflow.
What is Dazz?
Security teams drown in alerts. A single vulnerability in a base image might trigger hundreds of findings across container scanners, cloud security tools, and SCA platforms. Dazz collapses that noise into what actually needs fixing.
Dazz raised $50 million in funding and built a customer base of enterprises that needed to move beyond passive vulnerability management toward automated remediation at scale.
Key features
Root cause analysis engine
The core differentiator is Dazz’s patented root cause analysis. Most security tools tell you what is vulnerable. Dazz traces back to why and where in the code the vulnerability was introduced.
A single misconfigured base image might produce:
- 40 container vulnerability alerts
- 15 SCA findings across dependent services
- 8 cloud security posture findings
- 3 runtime detection alerts
Dazz collapses all 66 alerts into one root cause: the base image selection in a Dockerfile. Fix the Dockerfile, and all 66 findings resolve.
AI-powered remediation
Dazz generates actionable fixes rather than just surfacing findings:
| Capability | How it works |
|---|---|
| Automated code fixes | AI generates specific code changes for container vulnerabilities and common code issues |
| Pull request creation | Remediation is delivered as a pull request with context explaining the fix and which alerts it resolves |
| Remediation guidance | For issues that cannot be auto-fixed, the platform provides step-by-step guidance tailored to your stack |
| Fix validation | Tracks whether applied fixes actually resolve the underlying findings |
Workstreams
Dazz Workstreams let security teams organize remediation efforts around business priorities:
- Group findings by application, team, compliance deadline, or custom logic
- Track remediation progress against SLAs
- Respond to zero-day disclosures by instantly organizing all affected findings into a dedicated workstream
- Measure team velocity and identify bottlenecks
When a new zero-day drops, security teams can spin up a workstream that automatically gathers every affected finding, assigns them to the right teams, and tracks progress toward resolution.
Runtime exploitability
The platform prioritizes based on real-world risk, not just theoretical severity:
| Factor | What it considers |
|---|---|
| Runtime exposure | Is the vulnerable component actually loaded and reachable in production? |
| Network path | Is there a network path from the internet to the vulnerable service? |
| Data sensitivity | Does the vulnerable service handle PII, financial data, or credentials? |
| Compensating controls | Are there WAF rules, network policies, or other controls mitigating the risk? |
A critical CVE in a library that is included in the build but never loaded at runtime gets deprioritized compared to a high-severity finding in a public-facing service handling payment data.
Cross-tool correlation
Dazz normalizes findings from diverse security tools into a single taxonomy:
Wiz
Snyk
Prisma Cloud
CrowdStrike
AWS Security Hub
Checkmarx
GitHub
GitLab
Jira
ServiceNow
SlackGetting started
When to use Dazz
Dazz is built for organizations overwhelmed by security alert volume. If your team manages findings from multiple cloud and application security tools and spends more time triaging than fixing, Dazz’s root cause analysis and automated remediation directly address that problem.
If you need broader ASPM capabilities like pipeline security or SBOM generation, OX Security or Legit Security cover more of the SDLC. If aggregation and correlation matter more than automated remediation, ArmorCode provides wider tool coverage.
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