Tech

ThreatModeler Accelerates Secure Cloud Migrations with its AWS Advanced Technology Partnership

Published

6 years ago

April 8, 2020

Technology today has brought along ease and convenience in our everyday lives. The internet was a technological breakthrough and changed the way we function, share and do business. Cloud-based services have revolutionized the way we access, store and utilize data, with its scalability and price flexibility. It’s no surprise that increasingly, organizations are migrating their files and information to the cloud. Despite its innumerable advantages, individuals and businesses must also be mindful of the need to keep their data safe during and after cloud migrations.

A skilled hacker can unethically enter your systems, applications, networks, and devices to extract information, expose your customers’ private data, or cause your company irreparable harm. Therefore, it is imperative to take concrete measures to keep your data and information safe in the digital realm.

Large volumes of information and data are processed and transferred in a given workspace daily. As a business owner, it is essential to keep all this information safe from hacks and leaks. Increasing, threats and cybercrime is running rampant in systems, applications, networks and devices. The digital space inherently results in an expanded attack surface when you migrate all your information to the cloud. In such a scenario, proactive security serves as your primary means of defense against hackers and data theft.

Headquartered in Jersey City, New Jersey, ThreatModeler Software Inc. was established by CEO Archie Agarwal, a web security veteran. ThreatModeler is an automated platform that analyzes an IT infrastructure against its Threat Intelligence library, with content from trusted, authoritative resources. ThreatModeler can be used for on-premise and cloud-based services.

Agarwal has trained hundreds of developers in his career in tackling issues related to information security. “ThreatModeler helps provide complete cloud security, which prevents attacks and keeps infrastructure free from any breaches,” he says. “It works effectively irrespective of the size of an organization.”

As ThreatModeler saw the potential for cloud and remains a leading company responsible for protecting sensitive data that belongs to numerous businesses, it became an AWS Technology Partner. The offering: AWS Assist. This feature simplifies the process flow diagram construction automatically with complete accuracy by analyzing the live AWS environment. As you drag and drop components onto your diagram “canvas,” ThreatModeler assesses the architecture you’re building against existing AWS security rules that it accesses through the AWS Assist integration . This helps developers, security architects, even C-Suite management to get an accurate depiction of the threats that can cause a data breach. Organizations of any size that utilize AWS services can count on ThreatModeler to make their security efforts more precise, efficient and scalable.

ThreatModeler is continuously evolving its product offering, which makes it one of the most scalable, reliable, and robust pieces of technology in the security realm. Agarwal’s goal is to “champion the combination of people, processes, and technology to build and elevate the conversation – and approach – around security within organizations.”

Today, businesses realize the importance and sensitivity of data. It is essential to leave no stone unturned while creating a hardy security system to protect sensitive data. With cloud-based storage and processes becoming increasingly popular, investing in the most full proof security possible is the need of the hour. Threatmodeler is doing its best to ensure that users remain one step ahead when it comes to cloud-based security, to ensure that businesses and their data remain safe and secure.

Tech

My Main AI Turns Complex Workflows into Simple, Voice-Driven Conversations

Published

2 weeks ago

February 9, 2026

Jonathan Grilli

Photo Courtesy of My Main AI Inc.

By: Chelsie Carvajal

Managing modern workflows often means juggling dashboards, documents, and long email threads before a single task is complete. My Main AI Inc, an AI technology platform that spans text, image, voice, and video, has built a system where many of those steps can be handled through spoken or written prompts instead of manual clicks.

Turning Tasks Into Conversations

My Main AI groups several automation tools around a voice and chat layer so users can move through work by giving instructions rather than configuring each step. The platform lists AI Web Chat, AI Realtime Voice Chat, AI Speech‑to‑Text Pro, and AI Text‑to‑Speech engines from providers such as Lemonfox, Speechify, and IBM Watson, creating a loop between spoken input and generated output.

Speech‑to‑text tools support accurate transcription of audio content in multiple languages, with options to translate those recordings into English. That capability gives businesses a way to record meetings, calls, or field conversations, then convert the results into text that can be summarized, edited, and turned into documents or scripts. Text‑to‑speech tools, including multi‑voice synthesis with up to 20 voices and SSML controls, take written content in the other direction, producing voiceovers for training, marketing, and support material.

Chat assistants extend the same pattern to files and websites. My Main AI lists AI Chat PDF, AI Chat CSV, and AI Web Chat, which allow users to ask questions of documents or site content through natural language prompts. Instead of sorting through long reports, a user can query a file, receive concise answers, and then send follow‑up requests to generate emails, briefs, or summaries in the same environment.

From Content Pipelines to Voice‑Led Workflows

The company reports that its platform connects to more than 100 models from OpenAI, Anthropic, Google Gemini, xAI, Amazon Bedrock and Nova, Perplexity, DeepSeek, Flux, Nano Banana, Google Veo, and Stable Diffusion 3.5 Flash. Public materials state that these models support text, image, voice, and video generation in more than 53 languages, giving the voice‑driven tools reach across several regions and markets.

Content creation sits at the center of many of these workflows. My Main AI offers modules for blog posts, email campaigns, ad copy, social captions, video scripts, and structured frameworks such as AIDA, PAS, BAB, and PPPP. A user can dictate key points or paste a brief into the chat, receive draft text, ask the assistant to adjust tone or length, and then pass the result into voice synthesis to create a narrated version.

Visual tools fit into the same flow. DALL·E 3 HD, Stable Image Ultra, and an AI Photo Studio support image creation, product mock‑ups, background changes, and multiple variations from a single upload. AI Image to Video and text‑to‑video connections with engines such as Sora and Google Veo, alongside an AI Avatar feature labeled “coming soon,” make it possible to turn a spoken or typed brief into images, then into short clips that accompany the newly generated audio.

Why Businesses See Conversation as Infrastructure

Company data shared with partners cites more than 77,000 customers worldwide, annual revenue near 3 million dollars, and monthly revenue growth around 250,000 dollars, driven largely by subscription sales. The 49‑dollar plan is described as the best‑selling tier, with My Main AI presenting it as the entry point to the broader suite of conversational and automation tools.

Business‑oriented features show how these voice‑driven workflows connect to operations. The platform lists payment gateways such as AWDpay and Coinremitter, integrations with Stripe, Xero, HubSpot, and Mailchimp, and tools for SEO, finance analytics, dynamic pricing, wallet systems, and referrals. A manager can ask a chat assistant to pull figures, draft a report, and prepare customer messages, then move directly into sending campaigns or reviewing payments through linked services.

Company communications describe ongoing work on proprietary models, expanded training flows from text, PDFs, and URLs, and deeper tools for chat, analytics, and video. That roadmap suggests that My Main AI views conversation—spoken or typed—as a central control surface for complex workflows, with automation stepping in behind the scenes so users can focus on clear instructions rather than manual configuration.