TTamnoon provides an AI-augmented managed service for cloud security. It helps businesses quickly and safely remediate cloud risks, especially misconfigurations, by combining artificial intelligence with human security experts. The service is subscription-based and targets Sec DevOps teams, helping security engineers and CISOs manage high volumes of alerts and tasks without burnout. Tamnoon’s approach blends automated risk detection and prioritized remediation with expert oversight, delivering continuous improvements over time. The company differentiates itself by integrating AI with human expertise and offering ongoing, managed support rather than one-off tooling, catering to organizations needing steady, scalable cloud security posture improvements. Its goal is to improve customers’ cloud security posture, reduce risk, and provide a predictable, scalable security operation through a recurring service model.
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Company Size
11-50
Company Stage
Series A
Total Funding
$17.7M
Headquarters
Sammamish, WA
Founded
2021
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Tamnoon CEO Marina Segal on the self-healing cloud: why it starts with a machine that knows when not to act. Marina Segal - CEO and Co-Founder at Tamnoon Oct 12, 2026 Cloud security vendor Tamnoon on Tuesday launched a public Cloud Remediation Index and a running record of remediations its engine declined to execute, framing both as the groundwork for what CEO Marina Segal calls a self-healing cloud: an environment in which known exposures are closed through the customer's own change process, automatically, with a defensible record of how. The company's dataset of 14.86 million detections across hundreds of enterprise environments shows the distance from that goal. Fifty-three percent of everything ever detected in the cloud remains open, up from 41% a year earlier. A critical finding now takes an average of 150 days to close, up from 128. CrowdStrike's 2026 Global Threat Report puts the average eCrime breakout time, from initial foothold to lateral movement, at 29 minutes. "Your cloud already heals itself in one sense," Segal said. "But it has never once closed its own security hole. Healing means the exposure is gone, through your own change process, and someone can defend how." What self-healing actually means. Segal, who was part of the Dome9 Security team that defined cloud security posture management and stayed on at Check Point after the acquisition, draws a sharp line between resilience and healing. Container orchestrators restart failed pods. Auto-scaling replaces unhealthy instances. None of that closes an internet-exposed bucket, revokes an over-permissioned role, or shuts a port that should never have been open. Those findings are detected within minutes and then, in her words, filed. "We built an industry that could see every problem in the cloud, and then we filed the problems," Segal said. Detection, she argues, is finished. Closure is where the decade ahead will be decided. A self-healing cloud, as Tamnoon defines it, has four properties. Exposures close without a human designing each change. Changes go through the customer's existing change-management process, with rollback prepared. Every closure carries a record an auditor can read. And the machine doing the closing can tell when a fix is unsafe and decline it. Why the fourth property comes first. That last property is where Tamnoon, co-founded by Segal in 2021, diverges from the rest of the remediation category. Nearly every cloud security platform has shipped an auto-remediation agent in the past 18 months. According to Segal, most remain switched off in production, because a wrong automated change does not present as a security failure. It presents as an outage with a change ticket naming the person who approved it. "Every vendor in this market is selling speed," Segal said. "Speed was never the problem. They were afraid it would be wrong, and that they would be the one who said yes to it." Tamnoon's engine was therefore built to decide before it was built to act. Before modifying a resource it evaluates dependencies, ownership, recent changes and observed traffic, then takes one of three paths: execute the change through the customer's process with a rollback ready, decline it with a written justification, or escalate to a human when a required fact such as ownership is missing. "A machine learns to act long before it learns when to stop," Segal said. "We taught ours in the other order. The first thing we automated was restraint. A machine that cannot say no is not automation. It's a liability with an API." In a demonstration, six internet-exposed storage buckets that appear identical to a scanner produce three outcomes: three are closed, two are declined because the change would sever a live dependency the scanner cannot see, and one is escalated because the owner is unknown. One alert, three correct answers. Healing that stays healed. Every decision, closure or refusal, produces a six-field record: the finding, what was read first, the verdict, the reason, the one fact that would change the verdict, and how to do it by hand. Customer overrides are logged and become part of how the engine judges that environment next time. That record is what makes healing durable rather than cosmetic. In Tamnoon's dataset, the same eight misconfigurations account for a fifth of all alert volume and return quarter after quarter, closed by hand and reopened by the next change. An engine that closes them through the change process, with the dependency context recorded, and remembers the decision for that class of finding, closes them differently. What heals once stays healed. Autonomy is granted per class of finding on evidence. The engine connects read-only and changes nothing in the customer's cloud by default. It earns write permission on a class only after its decision record on that class holds, and customers retain veto authority throughout. "You keep the veto," Segal said. "It earns the keys. And it can lose them. Autonomy isn't a feature you buy. It's a track record." The engine ingests findings from 17 scanners, including Wiz and CrowdStrike Falcon Cloud Security, and its cross-scanner correlation resolves 142 alerts into one piece of work, on average. Tamnoon reports one customer reducing open findings from 6,074 to 2,041 over four quarters, with 93% fewer new alerts arriving by the end of the period, and a healthcare customer measuring a single remediation at $8,775 by hand versus $775 through the engine. Warner Music Group is a named customer. The company has raised more than $18 million, including a Series A led by Bright Pixel Capital. Measuring how slowly the cloud heals. Cloud security has always published how fast attackers move. It has been much quieter about how slowly it heals. The Cloud Remediation Index, out today, is built from the same 14.86 million detections behind the company's report and answers two questions in one place: what share of everything ever detected is still open, and how long a critical finding stays open. The attacker's clock is measured in minutes. This one is measured in months. The companion refusals record lists remediations the engine declined, each with its six-field record. "Every company in this industry publishes its wins," Segal said. "We are publishing the changes we did not make. It is a strange list to be proud of, until you ask which of the two lists a security team should read before it lets a machine into production." Tamnoon has also published six questions for buyers to put to any remediation vendor, itself included. The first: can it refuse a change, and show one refusal with the evidence attached. "Everyone demos the fix," Segal said. "Ask them to demo the decline." The next five years. Segal's picture of the self-healing cloud is specific. Security teams stop being the liability boundary for changes they did not design. The backlog becomes a queue with verdicts in it rather than a filing cabinet. Engineers see one problem where they saw 142 alerts. The same misconfigurations stop returning. And autonomy is granted per finding class, like a credit limit, on evidence. Her three predictions: refusal becomes a line in every remediation RFP, the decision record replaces the risk score as the comparison buyers make, and no vendor sells remediation without demonstrating a decline. "In five years nobody will buy remediation from a vendor who can't show them what it refused," she said. Tamnoon puts it in two sentences: everyone automates the yes; Akitasecurity mastered the no.
Why CrowdStrike (CRWD) stock is up today. Anthony lee /. September 23, 2026 What happened? Shares of cybersecurity platform provider CrowdStrike (NASDAQ:CRWD) jumped 4.5% in the afternoon session as it broke out to a fresh 52-week high, extending a multi-session rally. Morgan Stanley's Keith Weiss recently reaffirmed a buy rating and raised his price target to $254 from $238 in a note to clients. The analyst upgrade comes amid a broader sector tailwind driven by emerging "agentic AI" safety concerns, which is accelerating enterprise security spending and expanding identity-perimeter budgets. Previously, Nvidia Chief Executive Jensen Huang highlighted CrowdStrike at a Goldman Sachs technology conference as Nvidia's primary cybersecurity partner, pointing to their joint SafeMind threat-detection architecture. Separately, cloud security firm Tamnoon announced in a company press release that it integrated its managed remediation workflows into CrowdStrike Falcon Cloud Security. What is the market telling us. CrowdStrike's shares are very volatile and have had 28 moves greater than 5% over the last year. In that context, today's move indicates the market considers this news meaningful but not something that would fundamentally change its perception of the business. The previous big move we wrote about was 2 days ago when the stock gained 4.2% as falling Treasury yields eased pressure on software stocks as signs of cooler U.S.-China tensions lifted risk appetite. The benchmark 10-year Treasury yield fell roughly 3 basis points to 4.97%, slipping below the 5% threshold, according to CNBC. A retreat in bond yields provides relief for enterprise software equities, whose valuations are anchored by cash flows projected years into the future. Separately, attention turned to the U.S.-China summit later in the week, slated to cover trade relations, artificial intelligence cooperation, and other geopolitical issues. The prospect of constructive talks on cross-border trade and technology policy helped ease that uncertainty and lifted risk appetite for software names. CrowdStrike is up 131% since the beginning of the year, and at $261.33 per share, it has set a new 52-week high. Investors who bought $1,000 worth of CrowdStrike's shares 5 years ago would now be looking at an investment worth $3,987. ONE MORE THING: 3 Hidden Platforms Growing 3X Faster than Amazon, Google, and PayPal. Amazon, Google, and Meta all followed the same playbook: Dominate an ignored market. Build an unbeatable moat. Scale until you're unstoppable. These three platforms are running that exact playbook right now. The early investors in Amazon made fortunes. The early investors in these could do the same. Get All 3 Stocks Here for FREE.
Tamnoon integrates with CrowdStrike Falcon(R) Cloud Security to Extend cloud risk remediation workflows. Sep 22, 2026, 07:00 ET Integration brings Falcon Cloud Security findings into Tamnoon's agent-driven managed remediation solution. SEATTLE, Sept. 22, 2026 /PRNewswire/ - Tamnoon today announced a new integration with CrowdStrike Falcon(R) Cloud Security, enabling joint customers to bring Falcon Cloud Security findings into Tamnoon's agent-driven managed remediation workflows. The integration combines the cloud risk visibility and protection of Falcon Cloud Security with Tamnoon's Managed Cloud Security Remediation. Tamnoon enriches Falcon Cloud Security findings with additional environment context and incorporates them into its investigation, validation, and remediation workflows, with Tamnoon cloud security experts providing oversight throughout the process. The integration enables joint customers to: * Enrich cloud risk context: Tamnoon's AI agents incorporate Falcon Cloud Security findings into investigations alongside customer environment context, including asset criticality, exposure, data sensitivity, ownership, and historical risk patterns. * Extend findings into managed remediation workflows: Tamnoon uses Falcon Cloud Security findings to inform remediation through the customer's existing change management processes, with oversight from Tamnoon cloud security experts. Proposed changes are validated against the customer environment before execution, with changes that cannot be validated escalated for review. * Maintain visibility through resolution: Following remediation through Tamnoon, findings can be confirmed as resolved in Falcon Cloud Security, helping teams maintain continuity across investigation and remediation workflows. * Deploy through CrowdStrike Marketplace: Tamnoon's integration is available through the CrowdStrike Marketplace. "Cloud security teams need the flexibility to operationalize security findings through the workflows and services that work for their organizations," said Marina Segal, CEO of Tamnoon. "Our integration with Falcon Cloud Security brings CrowdStrike findings into Tamnoon's managed remediation workflows, where our AI agents and cloud security experts help customers investigate, validate, and remediate cloud risks through their existing processes." To learn more about the integration, visit the CrowdStrike Marketplace: https://marketplace.crowdstrike.com/listings/tamnoon/. About Tamnoon Security teams do not lack findings; they lack safe ways to close them. Tamnoon is the managed cloud security remediation company: AI agents, guided by experienced cloud security practitioners, investigate and remediate cloud risks inside the customer's environment, through the customer's own change management processes. Every fix is validated as safe before it is applied. A fix that cannot be validated is escalated with supporting evidence instead of being applied. The result is less cloud exposure and a production environment that stays stable. Tamnoon was selected as an RSA Conference Launch Pad 2024 Finalist. Visit Tamnoon at https://tamnoon.io/. SOURCE Tamnoon, Inc.
Tamnoon introduces skill-based AI orchestration for autonomous cloud defense
Tamnoon, a cloud security platform, has expanded its AI engine Tami into a skill-based orchestrator that generates customer-specific remediation solutions. Trained on over 6 million real cloud fixes across 800 accounts, the system now coordinates specialised AI skills to address cloud security risks autonomously. The platform launches two new capabilities: a Remediation Confidence Score that evaluates fixes as safe, risky or unsafe before implementation, and a Safe Vulnerability Patching Simulator that allows engineers to preview patch impacts before production deployment. Tamnoon addresses growing security challenges as average remediation time for critical cloud alerts has reached 128 days, whilst only 18 per cent of teams can remediate at development speed. The platform currently protects over 10 million workloads and delivers 97 per cent exposure reduction within 90 days.
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Industries
Company Size
11-50
Company Stage
Series A
Total Funding
$17.7M
Headquarters
Sammamish, WA
Founded
2021
Find jobs on Simplify and start your career today
We update Tamnoon's jobs every few hours, so check again soon!Browse all jobs