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.
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.
Paris cybersecurity employee risk monitoring at $10M+ ARR 2024 (triple-digit growth) serving Mistral AI, Deel, Intercom, Y Combinator; $45M total ($30M Left Lane Series B Feb 2025 at $170M val) with AI coach Albert competing with KnowBe4 for human risk management.
Riot is a Paris, France-based employee cybersecurity awareness and monitoring platform — backed with $45 million in total funding including a $30 million Series B in February 2025 led by Left Lane Capital at a $170 million+ post-money valuation with Y Combinator, Base10, and FundersClub — providing 1,500+ organizations including Mistral AI, Y Combinator, Modern Treasury, Deel, Intercom, L'Occitane, and Le Monde with real-time employee cybersecurity vulnerability detection and AI-powered awareness coaching through Albert, Riot's AI cyber coach. Surpassing $10 million in annual revenue in 2024 with triple-digit year-over-year growth, Riot detects employee-level security risks (weak passwords, unsafe file permissions, phishing susceptibility) and guides employees through interactive remediation coaching without requiring IT security team manual intervention.
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