Fujitsu vs Tamnoon

About Tamnoon

Tamnoon sells an engine that investigates findings from existing scanners and runs remediations it has proven safe through the customer's own change process. Tamnoon declines the remaining findings in writing, with the evidence. The engine investigates in read-only mode and gives each finding one of three answers. Tamnoon issues a verdict of SAFE, RISKY, or AWAITING DATA per finding, whichever scanner found it. Only findings with a SAFE verdict execute, and they execute through the customer's own change process.^[3][6]

Tamnoon centralizes all alerts in one location. Tami, Tamnoon's AI Cloud Security Agent, enriches each alert with context from analyzing metadata and performing active investigation of the customer's cloud environment. Tamnoon deduplicates and aggregates alerts using that context, which leaves a list of prioritized initiatives. Tamnoon scores initiatives on two scores, Risk and Asset Criticality. Tamnoon uses RBAC integrations to associate assets with a team and a person. Tamnoon pulls in its CloudPros on demand to understand what is behind each alert the system receives. Tamnoon converts recommendations into verified engineering initiatives that come with CLI commands, IaC templates and validation scripts. Every remediation performed by Tamnoon comes with a prevention plan, and Tamnoon says the plan uses cloud native solutions and guardrails.^[4]

Anything the engine cannot prove safe is declined with the reason attached. Tamnoon offers a Watch mode with no access changes, where nothing is written and verdicts come before any write. Tamnoon states that a safe change executes through the customer's own plane. Tamnoon says every decision comes back as a receipt. Tamnoon defines a self-healing engine as one that refuses what it cannot prove safe, recognizes context before acting, closes findings through the customer's own controls, and remembers every decision as a receipt. Tamnoon is building a memory of what the customer's team specifically approves.^[1][3][4][6]

Tamnoon sits downstream of the tools a customer already runs. Tamnoon uses Cyera's insights about data security posture to prioritize CNAPP and CDR alerts by the sensitivity of the data each asset contains. Tamnoon builds remediation workflows in Jira. Tamnoon automates the creation of tickets in ServiceNow that break down security impact analysis into remediation initiatives. Tamnoon builds remediation workflows in Microsoft Teams. Tamnoon extracts IaC templates from code repositories to work out what needs to change in remediation.^[3]

Zinnia simplifies the process of buying, selling, and administering insurance through its technology offerings, marketplace, and third-party administrator offerings. A media enterprise used Tamnoon's managed cloud security service to move from Check Point CloudGuard to Wiz. Tamnoon's CloudPros oversee the AI-powered remediation process.^[7][8]

Tamnoon was established in 2021 by founders Marina Segal, Idan Perez, and Zohar Alon. Tamnoon's investors include cybersecurity industry experts and angel investors. The State of Cloud Remediation 2026 is built on 14.86 million detections across hundreds of enterprise environments and ten CNAPPs.^{[1][2][3][7][10]}