Turn cloud findings into safe remediation

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April 20, 2026

Tami

Cloud security

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Turn cloud findings into safe remediation

AI-based Security Cloud Security Remediation Tools Multi Cloud Support Hybrid Cloud Support Cloud Security Enhancement

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Overview Discussion

Overview

Tami is an AI-based cloud security agent at the core of Tamnoon's security solutions. Its main functionality is to aggregate data, conduct deep investigations, and generate remediation to aid cloud security engineers in focusing on safe remediation.

Categorized as a context-aware AI, Tami provides support for companies using a CNAPP or CDR by handling everyday security tasks. It consists of four different agents working in tandem to orchestrate and execute remediation plans.

These include the 'Context Agent', 'External MCP Agent', 'Code Generation Agent', and 'Automation Retriever Agent'. Tami uses multiple Language Models (LLMs) selected for specific tasks and utilises a human CloudPros verification process for the logic and safety of proposed solutions.

Tami also tackles the challenge of response formulation in the cloud security industry by automatically creating validated fixes for any risk it encounters.

It's been trained on Tamnoon's playbooks, which allows it to learn from best practices and create innovative approaches to unique scenarios. It works proficiently, whether the context is single-cloud, multi-cloud, or hybrid, generating comprehensive, provider-specific remediation steps.

Finally, Tami collaborates closely with expert supervision to deliver agent-led remediation scaled with AI to help teams achieve safe remediation and enhance cloud security.

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June 12, 2025

Initial release of Tami.

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Pros and Cons

Pros

Cloud security enhancement

Data aggregation capability

In-depth risk investigation

Context-aware technology

Supports CNAPP and CDR

Orchestrates remediation plans

Agent diversification

Automated response formulation

Human verification process

Training on Tamnoon's playbooks

Versatile multi-cloud support

Flexible hybrid cloud support

Provider-specific remediation steps

Facilitates agent-led remediation

Creates innovative solutions

Safe remediation focus

Proficient in different contexts

Collaboration with expert supervision

Learn from best practices

Automatically creates validated fixes

24/7 Cloud SOC support

Tool-agnostic security

Full-cycle remediation

Agentic cloud security capability

Backed by human experts

Detailed Reporting and Compliance

Agentic Investigation

View 22 more pros

Cons

Dependent on multiple agents

Needs human verification process

Trained only on Tamnoon's playbooks

No specified support for non-CNAPP/non-CDR

Consists mainly of non-generic LLMs

Heavy reliance on expert supervision

No clear onsite continuous learning

Fixed, limited models utilization

Not identifiable multi-cloud support details

Non-disclosed solution for single-cloud context

View 5 more cons

Q&A

What is the main function of Tami?

Tami's main function is to aggregate data, conduct deep investigations, and generate remediation to support cloud security engineers focusing on safe remediation.

How does Tami support companies using CNAPP or CDR?

Tami supports companies using a CNAPP or CDR by handling day-to-day security tasks. It assists in aggregating data, conducting deep investigations, and generating remediation, thus enabling the companies to maintain a safe network environment.

Can you explain the role of each agent in Tami?

Tami is composed of four different agents with specific roles. The 'Context Agent' is the main orchestrator of initiatives. 'External MCP Agent' communicates with external CNAPPs and CDRs using the MCP protocol. The 'Code Generation Agent' learns from Tamnoon's experts and playbooks, then expands on its own. Lastly, the 'Automation Retriever Agent' selects or creates the automation to run and then analyzes the result.

How does Tami use multiple Language Models?

Tami uses multiple Language Models (LLMs) that are selected for specific tasks. These models may be trained on Tamnoon's two million-plus remediations or can be generic LLMs with deep guardrails. While the main action is carried out by the trained model, secondary models quality assure the output to meet Tamnoon's standards.

What is the CloudPros verification process in Tami?

The CloudPros verification process in Tami is a human verification procedure designed to ensure the logic and safety of proposed solutions. This system enables Tami to resolve numerous alerts without causing any outages.

How does Tami tackle response formulation in cloud security?

Tami tackles response formulation in cloud security by automatically creating detailed, contextual, and validated fixes for any risk it encounters. This innovative approach solves the industry's challenge of having powerful detection tools but struggling with formulating responses.

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How has Tami been trained by Tamnoon?

Tami has been trained on Tamnoon's playbooks, written by CloudPros who specialize in major cloud providers, CNAPPs, and CDRs. These playbooks allow Tami to learn from best practices, thus enabling it to innovate and tackle unique scenarios where no exact solution is available.

How does Tami operate in different cloud contexts?

Tami operates proficiently in different cloud contexts--whether single-cloud, multi-cloud, or hybrid-cloud. It generates thorough, provider-specific remediation steps for each unique context.

What is agent-led remediation in Tami?

Agent-led remediation in Tami refers to the process of navigating and solving security challenges under the guidance and oversight of Tami's four integrated agents. This process is supplemented with artificial intelligence to achieve safe remediation and effectively enhance cloud security.

What specific tasks are Tami's Language Models selected for?

The specific tasks that Tami's Language Models are selected for involve mainly the aggregation of data, deep investigation, and remediation generation in the context of cloud security.

How does Tami help enhance cloud security?

Tami enhances cloud security by creating validated fixes for any risk it encounters. It reduces the vulnerability of the cloud by conducting deep investigations and automatically responding with expert-directed remediations.

How does Tami automatically create validated fixes for the risks it encounters?

Tami automatically creates validated fixes for the risks it encounters by applying its trained language models to analyze the risk, formulate an appropriate response, and validate its effectiveness before implementation.

In what scenarios does Tami create innovative approaches?

Tami creates innovative approaches in unique scenarios where no exact solution exists based on its training from Tamnoon's playbooks and the continuous learning from new situations and challenges.

How does Tami support multi-cloud and hybrid-cloud contexts?

Tami supports multi-cloud and hybrid-cloud contexts by being able to work proficiently and generate comprehensive, provider-specific remediation steps regardless of the cloud context.

What are the provider-specific remediation steps provided by Tami?

Provider-specific remediation steps provided by Tami are detailed, contextual, and validated fixes designed to effectively resolve security risks in any unique cloud context, including single, multi, or hybrid-cloud environments.

Can Tami work proficiently in a single-cloud context?

Yes, Tami can work proficiently in a single-cloud context. It's designed and trained to operate efficiently in different cloud contexts, including single-cloud, and to generate comprehensive, provider-specific remediation steps.

What is the role of expert supervision in Tami’s operation?

Expert supervision plays a critical role in Tami’s operation. It ensures that Tami's automated responses are logical, safe, and effective, all the while allowing Tami to resolve numerous alerts without outages. This fusion of artificial intelligence and human expertise empowers Tami to continuously improve and adapt to new challenges.

What is the importance of Tamnoon’s playbooks in training Tami?

Tamnoon’s playbooks play a critical role in training Tami as they provide a wealth of best practices and expertise from CloudPros. This enables Tami to learn, adapt, and create innovative solutions for unique cloud security challenges, thereby enhancing its capabilities.

How does Tami aid cloud security engineers?

Tami aids cloud security engineers by taking over day-to-day security tasks. It allows engineers to focus on their crucial role of providing safe remediation. It does so by aggregating data, conducting deep investigations into security issues, and generating remediation plans.

How does Tami handle everyday security tasks?

Tami handles everyday security tasks by using artificial intelligence to automatically aggregate and analyze data, conduct in-depth investigations into security alerts, and generate remediation plans.

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