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.
Data platform for security and observability acquired by Cisco for $28B in March 2024. Used by 90 of Fortune 100; 7,500+ enterprise customers globally; flagship SIEM and Splunk SOAR power enterprise security operations centers.
Splunk is a data platform for security and observability founded in 2003 in San Francisco, built on the idea that machine-generated data — logs, events, metrics, traces — contains the intelligence organizations need to detect threats, investigate incidents, and ensure digital systems stay available. The company's core technology indexes and searches massive volumes of machine data in real time, enabling security and IT operations teams to answer complex questions across their entire data estate without predefined schemas.\n\nSplunk's flagship product is its SIEM (Security Information and Event Management) platform, used by 90 of the Fortune 100 to detect and respond to security threats. Its broader portfolio includes Splunk Observability Cloud for infrastructure monitoring, Splunk SOAR for security orchestration and automated response, and Splunk IT Service Intelligence for IT operations. The platform's schema-on-read approach and SPL query language give analysts flexibility to investigate novel threats and operational issues that structured databases cannot accommodate.\n\nSplunk was acquired by Cisco for $28B in March 2024, one of the largest cybersecurity acquisitions in history, and has been integrated into Cisco's AI-driven security portfolio. The combination of Cisco's network telemetry and global customer relationships with Splunk's data analytics depth creates a powerful full-stack security and observability offering. Under Cisco, Splunk is adding AI-native features — including AI Assistant for SPL and automated threat detection — to maintain its leadership position as the SIEM market evolves toward AI-augmented security operations.
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