Dazz vs Tracecat
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cloud remediation platform correlating security findings across tools and automating root-cause fixes for cloud risk. Palo Alto CA; raised $110M+; Dazz ingests alerts from CSPM, SAST, and container scanners to reduce remediation backlog and MTTR for engineering and security teams.
About
Dazz is a cloud security remediation platform founded in 2021 and headquartered in Palo Alto, California. The company was founded by Merav Bahat, Tomer Schwartz, and Yuval Ofir, former Microsoft Azure and Intel security executives, to solve a problem that had grown acute as organizations deployed more cloud security scanners: the remediation backlog. Modern security teams ingest findings from dozens of tools — CNAPP platforms, SAST, DAST, SCA, container scanners, and cloud posture tools — but have no unified way to deduplicate, prioritize, or route those findings to the right developers for fixing.\n\nDazz raised $110 million in funding from investors including Greylock Partners, Cyberstarts, and Microsoft's venture arm M12. Its platform connects to all major security scanning tools and the developer toolchain, then uses AI to correlate findings across tools, eliminate duplicates, trace findings to root causes in source code, and generate developer-friendly remediation tickets with context and suggested fixes. The goal is to turn a security team's finding backlog into a prioritized, actionable engineering backlog that developers can work through efficiently.\n\nThe platform's root cause analysis capability is a key differentiator: rather than sending developers individual vulnerability alerts, Dazz identifies that multiple alerts often share a single root cause — such as a misconfigured Terraform module or a vulnerable base image — and creates a single remediation task that fixes many findings at once. Dazz integrates with Jira, GitHub, GitLab, ServiceNow, and major CI/CD pipelines, and supports role-based workflows so security findings route to the appropriate developer or team based on code ownership.
SF YC W24 open-source SOAR security automation deployed by 200+ orgs (Fortune 500 + federal); $500K-$2M seed on Temporal's durable execution with 100+ integrations competing with Splunk SOAR and Tines for security incident response.
About
Tracecat is a San Francisco-based open-source security automation platform — backed by Y Combinator (W24) with $500,000-$2 million in seed funding from Y Combinator, Pioneer.app, Pioneer Fund, and SurgePoint Capital — providing security operations, IT, and infrastructure teams with a modern, cost-effective alternative to commercial SOAR (Security Orchestration, Automation, and Response) tools for automating security alerts, incident response, and IT workflows. Deployed by 200+ organizations from Fortune 500 companies to federal agencies, Tracecat is built on Temporal's durable execution platform (used by Datadog, Netflix, and Stripe) and offers 100+ integrations, AI-assisted runbooks, case management, and lookup tables. Founded in 2024 by Chris Lo and Daryl Lim.
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