⚙️ AI-Driven Surge: The Rapid Escalation of Cyber Attacks

Read time: 3.5 minutes.

👉 Saturday’s top story: While AI continues to transform industries for the better, it’s also becoming a powerful tool in the hands of cybercriminals. From more sophisticated phishing scams to intelligent malware, hackers are using AI to craft smarter, more dangerous attacks. Find out what these evolving threats mean for your digital safety — and how to stay one step ahead.

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👉 This Morning on the Guru99 AI Report

1. ⚙️ AI fuels a sharp rise in cyber attack sophistication
2. 🎥 YouTube rolls out new AI tools to empower creators
3. ⚡️ Boost your workflow with 5 powerful AI productivity tools
4. 💡 Can Google AI help solve global power shortages?

…plus 4 more must-read AI updates waiting for you!

⚙️ AI fuels a sharp rise in cyber attack sophistication

Machine learning has been part of cybersecurity for years, but the release of ChatGPT by OpenAI in late 2022 triggered a seismic shift. Practically overnight, the threat landscape evolved — not gradually, but with a sudden surge.

By January 2023, there was already a chilling case of GenAI-enabled voice fraud: kidnappers used AI to fake a daughter’s voice in a ransom demand, while the real child was safely at home.

Since then, the tools have only become more sophisticated — and frighteningly easy to access.

• According to identity verification firm iProov, face swap attacks have surged by 300%, mobile injection attacks by 783%, and attacks on virtual cameras have exploded by 2,665%.
• Their 2025 Threat Intelligence Report describes this moment as an “exponential threat landscape” — one where synthetic media and booming “Attack-as-a-Service” platforms allow even low-skilled actors to launch high-impact assaults.

I recently read research from Menlo Security reporting a 140% rise in browser-based phishing attacks and a 130% increase in zero-hour phishing, driven largely by GenAI. Many of these schemes center around fake websites mimicking real generative AI tools, coaxing users into submitting personal data or downloading malware hidden in innocent-looking PDFs.

Mimecast’s own 2024 threat intelligence report echoes the concern: AI-powered social engineering tactics are thriving, with attackers deploying deepfakes and AI-generated content to carry out highly targeted campaigns. While I’ve seen how AI is becoming a crucial ally for cybersecurity teams, it’s undeniable that these same tools are giving cybercriminals a dangerous edge.

• Their latest State of Human Risk report for 2025 found that 43% of businesses have experienced internal threats or data leaks due to compromised or negligent employees.
• Despite 95% of organizations using AI tools to defend against cyber risks, over half — 55% — still lack a dedicated strategy to tackle threats stemming specifically from generative AI.

👉 In partnership with Deel

Managing a global team is no small feat — between local labor laws, onboarding protocols, compliance requirements, and payroll data, vital information often ends up scattered across dozens of tools and documents. That’s where Deel AI steps in, transforming the chaos into clarity with intelligent contract generation and real-time compliance checking.

Instead of digging through scattered files, you can simply ask. Deel AI taps into a legally vetted Global Knowledge Base, delivering instant, accurate answers across HR, payroll, onboarding, immigration, and more. I tried it myself, and the ability to surface relevant compliance insights with a single query was a game-changer.

Manual reports? A thing of the past. Deel AI lets you generate dynamic reports by asking natural-language questions about your workforce data, giving you a live, comprehensive view of your operations.

• 🔐 Worried about data security? You should be — and Deel is, too. That’s why all information runs through a tightly controlled Virtual Private Cloud (VPC), reinforced with secure authentication protocols. Only you can access your internal data, and Deel ensures it stays that way.
• Deel AI pulls insights from a rich mix of trusted sources: their legal team–approved knowledge base, a crowdsourced hiring toolkit built with input from real users, and — crucially — your private workforce data, kept confidential and secure.

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🎥 YouTube rolls out new AI tools to empower creators

YouTube is taking a bold leap into the AI era. In a major announcement, CEO Neal Mohan revealed the platform’s most ambitious wave of AI-powered upgrades to date — from automated dubbing to enhanced creator controls and smarter age detection tools.

Here’s what’s rolling out:

🔹 AI Content Control for Creators: YouTube is expanding its AI detection pilot, equipping top creators and artists with tools to identify and manage videos that use their voice or likeness — a strong step toward protecting digital identity in the age of deepfakes.

🔹 Auto-Dubbing for All Monetized Creators: Now available to everyone in the YouTube Partner Program, AI-powered dubbing lets creators automatically translate their videos into multiple languages. I was amazed to learn that dubbed videos have already driven over 40% of watch time in translated content.

🔹 Smarter Age Detection: YouTube’s new machine learning–based age estimation tool will fine-tune viewer recommendations and safety controls based on real behavioral cues — no need for invasive data collection.

🔹 Next-Gen Shorts Tools: AI features like Dream Screen and Dream Track are integrating Google’s latest Veo 2 technology to generate vibrant video backgrounds and music for Shorts, making short-form creativity more effortless than ever.

I’ve watched YouTube evolve over the years, and this feels like a pivotal moment. These AI-driven tools don’t just enhance creativity — they unlock access, boost safety, and make it easier for creators to reach a truly global audience.

👉 Curious about AI voice tools? Discover the top AI voice cloning platforms creators are using right now.

⚡️ Boost your workflow with 5 powerful AI productivity tools

👉 OnPay leverages advanced AI to streamline payroll processing, reducing errors and ensuring smooth compliance with regulatory standards. Its machine learning capabilities analyze employee data to generate predictive insights and enhance workforce efficiency, and I’ve seen firsthand how much time this kind of automation can save growing teams.

👉 Salesforce delivers a powerful lineup of AI-enhanced tools built to transform customer relationship management (CRM). With Einstein AI at its core, it uncovers deep insights into customer behavior, automates routine data tasks, and tailors marketing strategies, and I genuinely appreciate how it helps teams connect more meaningfully with their audience.

👉 Teramind offers a powerful platform for insider threat detection and employee activity monitoring, using behavior analytics and data loss prevention to strengthen security and ensure compliance. It’s a smart way to streamline operations — and I’ve found its real-time insights especially valuable for staying ahead of potential risks.

👉 Ramp is a smart financial management platform powered by AI, built to simplify expense tracking and automate approval workflows. By using machine learning, it accurately categorizes transactions and highlights opportunities to cut costs — and I really like how it gives finance teams more control without added complexity.

👉 Zoho Books brings AI into accounting by automating routine tasks like invoice creation, payment reminders, and expense tracking. Its intelligent analytics deliver clear, actionable insights through detailed reports and anomaly detection, and I’ve found it incredibly helpful for keeping finances organized without the usual manual hassle.

👉 Zendesk integrates AI to elevate customer support, offering smart tools like chatbots for instant responses and natural language processing for efficient ticket routing. Its sentiment analysis helps teams prioritize issues that matter most — and I’ve seen how this kind of intelligent automation can truly improve both team productivity and customer satisfaction.

👉 Rippling is a unified HR platform that simplifies employee management by automating everything from payroll and benefits to compliance. With AI built into the core, it enhances onboarding, streamlines HR workflows, and drives smarter, data-backed decisions — and I really like how it brings all those moving parts into one seamless system.

👉 Smartsheet now features built-in AI capabilities designed to help you lead meaningful, responsible change within your organization. Before diving into what these tools can do, it’s important to understand how AI integration affects your data — and I found it reassuring to see how seriously they take privacy and transparency at every step.

👉 Connecteam is a smart workforce management solution packed with AI-driven features like automated scheduling, task coordination, and real-time tracking. It’s built to simplify daily operations and boost team collaboration — and I’ve found it especially helpful for keeping everyone aligned without the usual back-and-forth.

💡 Can Google AI help solve global power shortages?

In a major move to future-proof the power infrastructure, Google has partnered with PJM Interconnection, the largest electricity grid operator in North America, to deploy advanced AI tools that optimize how power is generated and distributed. Serving over 67 million people, PJM’s grid is a cornerstone of U.S. energy — and now, it’s getting an intelligent upgrade.

• This collaboration marks Google’s biggest step yet in applying AI to build a smarter, more resilient energy system. The goal? To seamlessly integrate a growing mix of renewable energy sources into the grid while ensuring electricity remains stable, cost-effective, and ready for rising demand.
• But it’s not just PJM. Google is also working with global operators like AES, a nonprofit grid manager, to sharpen electricity forecasting. AES is now piloting an AI model that predicts electricity load a full week ahead — and it's already cutting forecasting errors by 20%. That kind of accuracy helps utilities send power where it's needed most, exactly when it's needed.
• As someone who’s been tracking clean tech for a while, I find it exciting to see AI finally stepping into the energy space in a meaningful way. My hope is that this kind of innovation becomes the rule, not the exception — especially as demand from electric vehicles and data centers surges.

This joint effort arrives at a critical time. With the global electricity demand climbing and climate targets tightening, energy leaders are calling for intelligent systems that can balance reliability, affordability, and sustainability all at once.

👉 Explore how AI is powering the future of electricity — smarter, cleaner, and more reliable.

📰 How to use Gemini inside Google Sheets

• Google Sheets just got a powerful upgrade —
• Say hello to Gemini, your new AI assistant built right into the spreadsheet toolbar.
• Whether you're building content calendars, crafting complex formulas, or refining reports, Gemini makes it faster and easier to get work done — no spreadsheet sorcery required.

Getting started is simple:

1. Open a new or existing Google Sheet.
2. Click the Gemini icon in the toolbar.
3. Type your prompt in the prompt box — something like: “Create a content calendar for 2 weeks.”
4. Hit Generate, and Gemini will suggest a structured table layout you can insert directly into your sheet.
5. Need help with a formula? Just ask! For example: 🧠 “Give me a formula to extract [X] from [column name].” Gemini will return the formula along with a clear explanation, then just click Insert Formula to drop it into your cell.

One thing I love is how I can continue the conversation within the side panel — refining outputs, fixing formulas, or reshaping tables without ever breaking focus. It’s like having a data-savvy co-pilot who works on my terms.

👉 Looking to go deeper? Pair Gemini with the best reporting tools out there and watch your productivity take off.

💻 Implement the latest coding solutions with Claude

If you’re tired of scouring outdated forums or piecing together library docs on your own, Claude’s latest web search feature is here to change the game. It now helps developers pull real-time coding solutions, official documentation, and best practices — all in one streamlined experience.

Here’s how to use it step-by-step:

1. Head over to Claude and activate web search in your settings.
2. Describe your coding problem clearly — for example: “I need to implement secure password hashing in Python that meets 2025 standards.”
3. Claude will scour the web for up-to-date solutions and analyze them side-by-side, offering a breakdown of pros and cons tailored to your needs.
4. Ask for a ready-to-use implementation based on what it finds — and Claude will deliver code examples aligned with the latest industry standards.

One thing I personally appreciate? Before using an open-source library, I can ask Claude to search for known security vulnerabilities or deprecations — a huge time-saver when writing production-grade code.

I’ve found this feature incredibly helpful when I’m on tight deadlines and need not just an answer, but the right one, pulled from the latest sources.

👉 Want to build faster? Check out the top low-code platforms that pair perfectly with Claude’s web intelligence.

🧠 AI for Good: Traumatic brain injuries

Traumatic Brain Injury (TBI) has earned the title of “the silent epidemic” for good reason — despite impacting nearly 70 million people globally each year, it continues to be under-researched, under-reported, and too often overlooked. With causes ranging from car crashes and falls to sports injuries and blunt trauma, TBIs can range in severity from mild concussions to life-altering brain damage.

What makes this especially urgent? In the U.S. alone, TBI contributes to nearly 70,000 deaths every year. Yet diagnosis still relies heavily on the manual review of CT scans — a labor-intensive process that demands time many patients don’t have.

• That’s why a growing number of researchers are turning to machine learning (ML) as a potential ally in early detection.
• Recent reviews show that well-tuned algorithms can accurately identify and quantify key markers of TBI in CT scans, positioning AI as a powerful tool to assist overburdened clinicians.

I find this incredibly promising. Imagine reducing the time it takes to spot serious brain injuries while giving radiologists a sharper, faster second opinion — it could change the game for emergency rooms everywhere.

But let’s be clear: we’re still in the early stages. These algorithms often struggle with bias in training data, meaning they don’t yet capture the full complexity of TBI cases. I believe in the potential of this technology, but more comprehensive studies are essential before we can see dependable clinical deployment.

👉 The future of TBI detection may be automated — but only if we keep investing in the research.

📸 AI Generator Images: Origami Legends

Midjourney Prompt: Origami figure with no face or eyes and a child-like appearance based on [insert character here]. It should be made out of pale orange paper and should be simple, as if made by a child. It should be standing on a fence post. --style raw        

👉 Want pro-level edits? Try the best photo editing software.

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