Tami

Tami Overview

What is Tami?

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. Help other people by letting them know if this AI was useful. Add your own prompts and outputs to help others understand how to use this AI.

A Professional Framework to Evaluate Tami

When considering Tami for integration into your organizational workflow, we recommend deploying a structured score card across three critical operational pillars: Security & Compliance, Integration Friction, and long-term Price Scalability. Rather than looking only at basic feature lists, modern procurement teams must assess how a software platform behaves under high load and how well it fits into the team's data security guidelines.

1. Security and Database Compliance

Depending on your operating region and field, ensure that Tami supports standard security layers such as SOC 2 Type II certifications, GDPR compliance, or HIPAA-compliant database encryption. If the tool connects directly to client database tables or handles user passwords, verify that they implement multi-factor authentication (MFA), single sign-on (SSO) integrations, and end-to-end data encryption in transit and at rest.

2. API Coverage and Custom Integrations

Siloed data is the primary cause of operational friction. Evaluate if Tami has native connectors for your current project trackers, messaging hubs, and customer communication channels. For custom developer requirements, check if they provide a fully documented REST API with reasonable rate limits, comprehensive Webhooks support, and robust SDK packages in your language. A flexible API layer saves hundreds of hours of manual copy-paste overhead.

3. Total Cost of Ownership (TCO)

SaaS pricing packages are often deceptively simple. When reviewing Tami's billing structure, map out your team's projected expansion over the next 12 to 24 months. Determine how costs scale as your customer database increases or as you add team members. Factor in setup costs, mandatory support plan upgrades, API access fees, and storage overage rates to understand the true cost before committing to a contract.

By combining verified user reviews from our directory with internal workflow pilot tests, your procurement team can make an informed decision that drives productivity without creating capital waste.

Features of Tami

• AI Based Security
• Cloud Security
• Remediation Tools
• Multi Cloud Support
• Hybrid Cloud Support
• Cloud Security Enhancement

Pricing

Where can Tami be deployed?

• Cloud, SaaS, Web-Based