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Tamnoon Cuts Cloud Security Risks for Organizations

▼ Summary

– Tamnoon launched Managed CDR, a cloud security service that validates, contextualizes, and responds to alerts, integrating with AWS, Wiz Defend, GuardDuty, CrowdStrike, and Orca Security.
– The service includes Tami, an AI-powered agent that works with human experts (CloudPros) to assess and remediate threats faster than human-only efforts, prioritizing alerts efficiently.
– Tamnoon’s report reveals 35% of alerts are critical or high, with critical alerts taking nearly a year to resolve, leading to alert fatigue and operational bottlenecks.
– Managed CDR combines AI and human expertise to reduce false positives, validate threats, and remediate without disrupting production, offering cross-platform integration with major CNAPPs.
– Gartner recommends a staged, human-in-the-loop approach for cloud detection and response automation, which aligns with Tamnoon’s hybrid AI-human model for effective threat resolution.

Tamnoon has introduced a groundbreaking managed service called Managed CDR (Cloud Detection and Response), designed to streamline cloud security by validating, prioritizing, and resolving alerts with unprecedented efficiency. The service integrates seamlessly with leading platforms like Wiz Defend, Amazon GuardDuty, CrowdStrike Falcon, and Orca Security, offering a cloud-agnostic solution that enhances existing CNAPP (Cloud-Native Application Protection Platform) capabilities.

A key innovation accompanying this launch is Tami, an AI-powered agent that collaborates with Tamnoon’s team of cloud security experts (CloudPros) to assess risks, determine optimal remediation paths, and accelerate response times. Unlike traditional methods, Tami consolidates multiple alerts into structured initiatives, ensuring precise prioritization while minimizing false positives. This hybrid approach, combining AI with human expertise, ensures swift resolution without compromising system stability.

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Recent findings from Tamnoon’s 2025 State of Cloud Remediation Report reveal a critical industry challenge: over 35% of alerts are classified as high or critical, yet resolving them often takes nearly a year. Many organizations struggle with alert overload, where unchecked notifications quickly escalate into operational bottlenecks. Tamnoon’s solution directly addresses this by automating initial alert reviews, allowing CloudPros to focus on verified threats while eliminating noise.

The service also tackles a common pain point in multi-cloud environments: managing alerts for deprovisioned resources. Traditional MDR (Managed Detection and Response) solutions, often endpoint-focused, lack the contextual awareness needed for cloud-native architectures. Tamnoon’s platform bridges this gap by providing cross-platform deduplication and tailored remediation strategies for AWS, Azure, GCP, and Oracle environments.

Marina Segal, CEO of Tamnoon, emphasizes the industry’s unmet need: “Powerful detection tools exist, but organizations are left scrambling to respond effectively. Our technology merges CNAPP insights with deep cloud expertise to deliver actionable remediation, without disrupting operations.”

The approach has already garnered praise from security leaders. Tyler J. Farrar, CISO at Nextracker, notes, “Managed CDR cuts through the noise, enabling faster responses with zero guesswork. Teams regain time for strategic work instead of chasing false alarms.”

Tamnoon’s CTO and Co-Founder, Idan Perez, highlights the balance between automation and human oversight: “Our AI models learn from millions of resolved alerts, but every recommendation undergoes expert validation. This eliminates the blind spots of purely automated systems.”

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Gartner’s research supports this methodology, advising a phased, human-in-the-loop approach to cloud security automation. Tamnoon’s Managed CDR embodies this principle, offering organizations a scalable, reliable way to mitigate risks in dynamic cloud environments.

(Source: HelpNet Security)

Topics

managed cdr 95% tami ai-powered agent 90% cloud security alerts 85% hybrid ai-human model 85% alert fatigue 80% cloud remediation 80% cnapp integration 80% multi-cloud environments 75% cloudpros 75% gartner recommendations 70%
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