In an era where cybersecurity threats constantly evolve, businesses face immense pressure to safeguard their cloud infrastructures against various attacks. Tamnoon, a cutting-edge company, has introduced a managed Cloud Detection and Response (CDR) service that leverages artificial intelligence to address this significant challenge. By embedding an AI-powered agent named Tami within their security framework, Tamnoon aims to proactively manage and mitigate risks without unnecessary interruptions to vital operations. This development signifies a major leap in cloud security, setting new standards for how threats should be detected and responded to in a rapidly changing digital landscape.
AI Integration in Cloud Detection and Response
Tami: An AI Agent Enhancing Threat Response
Tamnoon’s innovative approach to cloud security is centered around Tami, an AI-powered agent that fundamentally changes how organizations manage security threats. Tami’s unique capabilities allow it to collaborate with Tamnoon’s human-led CloudPros remediation team, working seamlessly to identify, analyze, and resolve threats swiftly. By utilizing contextual awareness and machine learning, Tami can efficiently filter and consolidate security alerts, streamlining the response process in ways human teams alone could not achieve. The integration of Tami within Tamnoon’s Managed Cloud Native Application Protection Platforms (CNAPPs) enhances the ability to aggregate multiple security alerts into actionable insights, thus enabling teams to prioritize significant threats effectively. This strategic move allows for comprehensive vulnerability management across various platforms, including AWS, Azure, Google Cloud Platform, and Oracle, making it a versatile tool for today’s diverse cloud environments. Security teams can now focus on critical issues without being overwhelmed by minor alerts, optimizing overall operational efficiency and effectiveness.
Addressing Alert Overload with AI and Human Collaboration
Despite the availability of advanced detection tools on the market, organizations often struggle with appropriately responding to security threats. Tamnoon addresses this gap by combining AI capabilities with human expertise, ensuring that alert triage, management of false positives, and escalation of genuine threats are handled efficiently. The managed service’s unique ability to filter through numerous alerts prevents the fatigue commonly experienced by security professionals due to high alert volumes.
Marina Segal, CEO of Tamnoon, articulates this approach emphasizing the importance of leveraging CNAPP and CDR alerts alongside deep contextual analyses and application context. This aids in forming a holistic understanding of threats, leading to effective remediation. Tamnoon’s methodology significantly minimizes manual intervention by security teams, allowing them to focus on strategic issues rather than being bogged down by routine alert management. This blend of automation and expert oversight ensures that security measures align with the dynamic demands of modern cloud deployments.
Bridging Industry Gaps with Managed Detection
Cross-Platform Integration and Automation
Tamnoon’s CDR service helps bridge significant industry gaps by adapting proven concepts from Managed Detection and Response (MDR) to cloud-specific environments. The service’s integration with various platforms such as Wiz Defend, Amazon GuardDuty, and CrowdStrike Falcon showcases its flexibility and adaptability. By offering automated triage processes and validating alerts across these platforms, Tamnoon’s CDR service is equipped to manage persistent alerts that would have otherwise required time-intensive manual resolutions. This cross-platform functionality not only showcases Tamnoon’s capability to work within diverse cloud environments but also highlights its strength in deduplicating and contextualizing findings across numerous deployments. The automation of alert triage, validation, and resolution streamlines the security workflow, making it less prone to errors and ensuring that critical alerts are prioritized correctly. Security professionals gain valuable time to dedicate to more strategic tasks, alleviating the challenges posed by overwhelming alert volumes in complex cloud infrastructures.
Operational Challenges in Cloud Security
The 2025 State of Cloud Remediation Report by Tamnoon sheds light on broader operational challenges in cloud security, revealing that a substantial percentage of security alerts are classified as critical or high. These alerts often remain unresolved for extended periods, which poses a significant risk to organizational security. In scenarios requiring manual alert reviews, security teams can quickly become inundated, leading to alert fatigue and increasing the likelihood of missing genuine threats. Tamnoon’s solution to this challenge is to streamline the remediation process through a combination of automation and expert intervention, ensuring that necessary actions are taken promptly and effectively. By automating the identification and resolution of less critical alerts, Tamnoon alleviates pressure on security teams, enabling them to allocate resources toward pivotal tasks without jeopardizing production environments. This dual approach of enhancing efficiency and maintaining operations represents Tamnoon’s commitment to delivering an adaptive security solution that meets today’s evolving needs.
Industry Feedback and Future Implications
Expert Insights on Managed CDR
The introduction of Tamnoon’s managed CDR service has garnered positive feedback from industry experts who appreciate its focus on remediating rather than just detecting threats. Tyler J. Farrar, Chief Information Security Officer at Nextracker, commends the managed CDR model for its clarity and confidence, explaining how it allows security teams to validate critical issues with explicit explanations for each decision. This empowers teams to focus on strategic initiatives without compromising production stability, highlighting the profound impact of Tamnoon’s strategic approach.
Idan Perez, CTO of Tamnoon, emphasizes the blend of machine learning with human validation as a critical factor in avoiding common pitfalls of fully automated systems, such as false positives. By performing environment-aware analyses that account for specific cloud architecture and business context, Tami offers action recommendations that are further validated by human experts. This dual-layered approach ensures robust security measures tailored to each organization’s unique needs, contributing to the overall reliability of the security framework.
The Role of AI and Human Oversight
In today’s era, where cybersecurity threats are ever-evolving, businesses are under immense pressure to protect their cloud infrastructures from a wide array of attacks. The stakes have never been higher in ensuring that sensitive data remains secure from cybercriminals and malicious actors. Tamnoon, a pioneering company, has risen to this challenge by introducing a managed Cloud Detection and Response (CDR) service. This innovative service utilizes artificial intelligence to combat these significant cybersecurity challenges effectively. At the heart of their solution is an AI-powered agent, Tami, which is seamlessly embedded within their security framework. Tami’s primary function is to proactively manage, monitor, and mitigate risks, ensuring that these protective measures do not disrupt essential business operations. Such a development marks a significant leap forward in the realm of cloud security, effectively setting new standards for how potential threats are detected, analyzed, and addressed in an ever-shifting digital environment.