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How Can Good Hackers Beat Bad Hackers?

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Between 2019 and 2020, the number of successful cybersecurity attacks worldwide has almost doubled from roughly 2,100 to nearly 4,000 data breaches.  This has occurred at the same time that the penetration testing (or “Pen Testing”) vertical within the cybersecurity industry has become a multi-billion-dollar market, projected to more than double in size between 2021-2025. With the number of cybercrime incidents rising and with so much at stake in securing our digital information, the question remains, how are successful attacks still rising?

Rapid Digitization Means More Personal Data is Available Online

Twenty years ago, it would have been relatively uncommon for a middle-class home to have more than one computer with internet access, whereas nowadays you would be hard-pressed to find one without an array of technology devices connected to various networks. Because virtually every piece of technology we use in our daily lives is now internet-connected, our personal data is being shared through an increasing number of devices. When those devices and the software and data stored on them is not properly secured, it further adds to the problem of growing cyberattacks.

If a software company hires a cybersecurity consultant to perform Pen Testing services on a new application the company has developed, it may take 2-3 weeks just to get the paperwork in order to conduct the testing, leaving potential vulnerabilities in the software’s data untested and exposed. At the same time, cybersecurity consultants who use scattered software toolkits in their Pen Testing, coupled with human-centric Pen Testing policies, can cost these companies more resources (time and money) in the long run.

Rapid Technological Evolution

Another symptom of rising rates of malicious cyberattacks is the reality that security professionals struggle to match the speed at which our technology, and the data we store in it, evolves. Before IT security professionals can properly secure a new technology that has already been delivered to commercial markets, another newer technology is ready to launch, perpetuating the problem.

Since the onset of COVID-19 last year, more people are using technology to work remotely, adding new challenges for cybersecurity professionals to keep the organizations and people they work with secure. Normally, companies would hire cybersecurity professionals to test their data security, as well as identify, assess, and fill in the gaps found in those defenses. However, the gap between the supply and demand of certified cybersecurity professionals is increasing and there are currently not enough professionals in the industry to perform the amount of testing needed at scale right now.

Beating the Hackers with AI-Backed Pen Testing

The problem of malicious cybersecurity attacks is not linked to a lack of investment in cybersecurity products and services. Rather, the problem arises when these investments are not performing as intended. Every major company and software platform needs cybersecurity testing and we must increase the amount of Pen Testing from certified Pen Testers to help reduce the success of malicious cyber-attacks.

One option is crowdsourcing, where companies bring in a broad amount of hacker expertise from all around the world and test their cybersecurity defense systems. One caution is that this often causes companies to lose control over the process of which defenses are being tested, the methods used in testing, and the frequency of those tests, leaving their data vulnerable to attack.

A second option, one many cybersecurity professionals agree as to the more plausible and advisable one, is to use technology such as Artificial Intelligence (AI) in order to generate algorithms from the process that your Pen Testers perform, allowing for human hackers and AI to complement each other to perform more testing in less time for less cost.

Using this method, companies can secure Pen Testing within 24 hours, rather than waiting 2-3 weeks to file the paperwork traditionally associated with the process. Within 5-6 days, the results are sent to the company’s software developers with recommendations on how to fix any potential threats that were identified. This process makes the entire testing process much easier, faster, more accurate, and more cost-effective for the client. It also allows software development companies to develop at a more rapid pace without sacrificing security, providing additional value to product end-users.

The endgame of cybersecurity professionals is to have a more secure society, but the only way we can achieve this is by including solutions such as AI-backed Pen Testing, allowing security professionals to conduct more tests, more often, in order to generate more accurate results and identify issues that can be fixed proactively, rather than reactively. In using AI-backed Pen Testing processes, companies can ensure that their business’ and their clients’ data are fully protected and remain secure.

Seemant Sehgal is the Founder & CEO of BreachLock Inc. – the world’s first AI-powered full stack and SaaS-enabled Penetration Testing as a Service. Since 2019 BreachLock has quickly emerged as a market disrupter in the traditionally human dependent Penetration Testing market.

From television to the internet platform, Jonathan switched his journey in digital media with Bigtime Daily. He served as a journalist for popular news channels and currently contributes his experience for Bigtime Daily by writing about the tech domain.

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Tech

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

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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.

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