Be it an internal or external valuation, there’s a bevy of options to value a business with ratios. Examples include price-to-earnings, price-to-sales or EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization).
The tax brackets below apply to income earned during the 2026 calendar year. This is the income you report on the tax return due April 15, 2027 (or Oct. 15 with an extension). These are the final, official figures. The…
Improving Social Security’s Service to Victims of Identity Theft Act (HR 5345) – The purpose of this legislation is to provide a single point of contact at the Social Security Administration…
When a customer asks about a delayed order, a traditional chatbot provides a tracking link or explains the shipping policy. This offers a fast response. However, a human employee still has to log into the inventory management…
These days, it seems like prices are going up, especially at the grocery story. In fact, the all-item Consumer Price Index (CPI), a measure of economy-wide inflation, claimed food prices in September 2026 were 2.5 percent…
If you’re pressed for time and/or struggle with impulse buying, this is the hack for you. When you order food online, chances are you’ll order only essentials and not the goodies that call your name when you’re in the store. Best of all, at most big box stores like Target, Walmart and Kroger, the service is free. Another plus: You’ll be able to see your total – and if it’s a bit high, you can edit it and reduce your cost.
Eat Your Leftovers
If you really want to save on groceries, heat up your meal from the day before. Resist throwing it away, going out or ordering takeout on the way home. One way to make eating leftovers go the distance is to make a double portion. This way, you won’t be stuck with a tiny bit of food that sits in your fridge uneaten for days.
If you integrate these hacks into your daily routine, over time, you’ll notice a difference and prevent high prices from eating into your budget.
These days, it seems like prices are going up, especially at the grocery story. In fact, the all-item Consumer Price Index (CPI), a measure of economy-wide inflation, claimed food prices in September 2026 were 2.5 percent higher than in September 2025. But don’t despair, there are some ways to save. Here are some quick hacks you can use to beat price creep.
Get Supermarket Apps
Your phone’s app store probably has an app from your neighborhood grocery store just waiting for your download. When you get it, make sure you join the loyalty program, where points can add up. Plus, check out the weekly/daily deals and take advantage of them. If you do this regularly, you’ll save a large chunk of change.
Keep Your Coupon Books
You know those booklets you get in the mail from the local grocery store that are pages long, usually show up on Tuesdays and you throw them away? Don’t. Save them, scour them and snag low prices. Make this a regular habit and you’ll definitely save.
Save the Coupons in the Bag
Related to the above item, there are often coupons stuffed into the bottom of your bag during checkout. Make sure you look to see whether you might use them, then put them in a safe place and grab them the next time you head out.
Make a List
Before you leave the house, jot down what you need. In fact, start an evergreen list on your phone in your notes tab that you can update with each grocery run. If you stick to the list, there’s a big chance you won’t buy things you won’t eat and/or rack up a big bill. Another hack? Never go to the grocery store hungry. You might end up buying more than you need and regret it later!
Give Meat the Day Off
Meat is one item that’s most always on the rise. In fact, as of April 2026, ground beef was priced on average $6.90 per pound, according to the Federal Reserve Bank of St. Louis. So, what to do? Try to swap it with black beans, tempeh, tofu or any other non-meat protein. Cook these delicious meals several times a week and if you’re interested, browse these meatless dinner ideas. Over time, you’ll save a lot of MOO-lah.
Use Curbside Pickup
If you’re pressed for time and/or struggle with impulse buying, this is the hack for you. When you order food online, chances are you’ll order only essentials and not the goodies that call your name when you’re in the store. Best of all, at most big box stores like Target, Walmart and Kroger, the service is free. Another plus: You’ll be able to see your total – and if it’s a bit high, you can edit it and reduce your cost.
Eat Your Leftovers
If you really want to save on groceries, heat up your meal from the day before. Resist throwing it away, going out or ordering takeout on the way home. One way to make eating leftovers go the distance is to make a double portion. This way, you won’t be stuck with a tiny bit of food that sits in your fridge uneaten for days.
If you integrate these hacks into your daily routine, over time, you’ll notice a difference and prevent high prices from eating into your budget.
These articles provide general information on tax, accounting, and financial topics for small businesses and individuals. They are educational in nature and are not specific legal, accounting, financial, tax, or other professional advice, and should not be relied upon as such. This content was prepared by Service2Client and may have been reviewed or edited by the website owner for accuracy and compliance. Look for a trust mark below for verification details. No representation is made that any approach described will achieve a particular result, and no regulatory or professional body has reviewed or endorsed this content. Because each situation is different, readers should consult a qualified professional about their specific circumstances before acting. Images accompanying these articles are protected by copyright and may not be copied or reused.
At age 73, investors must begin taking distributions from tax-deferred retirement accounts, even if still working. One exception: many workplace plans let you delay RMDs…
For years, corporate fraud was limited by the costs, expertise and resources required to carry out a convincing deception. Artificial intelligence (AI) has changed this…
One of the most cited reference cases is the 2024 Arup incident. A finance employee at the engineering firm’s Hong Kong office was tricked into transferring about $25 million across multiple transactions after joining a video conference call with deepfake replicas of the company’s CFO and other colleagues. The fraud succeeded because it targeted the human authorization step, the exact step where financial controls assume identity can be trusted on sight and sound.
Beyond deepfake executives, new trends include synthetic vendor creation, where generative models fabricate entire corporate entities. Each comes complete with tax IDs, websites, regulatory filings, and executive profiles. They are used to infiltrate accounts payable systems. Bad actors also use machine learning to reverse-engineer enterprise anti-fraud algorithms, find blind spots, and execute micro-transactions that stay beneath detection thresholds.
Why the Numbers Should Worry Boards, Not Just Security Teams
The 2026 INTERPOL Global Financial Fraud Threat Assessment flagged AI-powered fraud as one of organized crime’s primary growth sectors. It reports that fraud alerts have risen 54 percent since 2024, with more than 1,500 cross-border cases involving $1.1 billion in lost assets.
The Regulatory Gap Executives Should Worry About
Regulation is accelerating, but it is not solving the fraud problem. The EU AI Act’s transparency provisions took effect Aug. 2. It requires the disclosure of AI-generated content, with penalties for noncompliance. As of July 2026, 48 states in the United States have enacted at least one deepfake-related law, according to Ballotpedia’s tracker. Yet none of these frameworks is really built for enterprise fraud. They target content moderation, disclosure, and non-consensual media. None directly addresses the authorization workflows attackers actually exploit. A company that is fully compliant with deepfake laws would still be exposed by the Arup scenario.
Regulators such as the Federal Trade Commission (FTC) have signaled that using AI to deceive is prosecutable under existing fraud statutes, but enforcement is reactive and case-by-case. Executives who treat fraud as just a criminal act rather than a governance failure arising from inadequate technical oversight face severe personal and corporate liability.
Strategic Challenges and Recommended Actions
Defending against AI-powered fraud requires rethinking how security spending is justified. Traditional ROI models rely on historical loss avoidance, but in the age of generative fraud, past losses are an unreliable predictor of future exposure.
The primary implementation challenge is friction versus security. Deploying stronger authentication and behavior monitoring across corporate touchpoints creates friction that employees and vendors resist. In addition, integrating AI defenses into legacy enterprise resource planning (ERP) systems creates technical debt. Organizations also struggle with data silos, even though fraud detection now requires real-time visibility across all departments.
To protect enterprise value, leadership teams should move from passive compliance to active resilience.
Verify out of band. Require a callback to a known number and dual approval for large or unusual transfers. Never authorize a payment on a voice or video request alone.
Strengthen authentication. Use multifactor cryptographic verification and zero-trust principles (verify every request, regardless of source). Treat biometrics with caution, since deepfakes can spoof them.
Red-team for AI fraud. Have ethical hackers use generative AI to stress test internal systems and give the risk committee ownership of the results.
Use AI to fight AI. Deploy monitoring tools that flag behavioral anomalies across internal communications, ledger entries, and vendor registries in real time.
Establish cross-functional fraud task forces. Break down departmental silos and treat fraud detection as an integrated business process.
Future Outlook
As AI advances, the convergence of generative AI and autonomous software agents suggest that corporate fraud may increasingly be automated, including by self-directed AI agents operating as fraud syndicates. Business leaders must recognize that the future of corporate defense relies not on human vigilance alone, but on building resilient, self-healing digital ecosystems where trust is algorithmically verified and continuously audited.
AI-Powered Corporate Fraud: What Business Leaders Need to Know
October 1, 2026 · Blog, What's New in Technology
⏱ 4 min read
For years, corporate fraud was limited by the costs, expertise, and resources required to carry out a convincing deception. Artificial intelligence (AI) has changed this.
Today, AI can create realistic voices, videos, emails, invoices, identities, and customer interactions at a scale and speed that traditional fraud controls were never designed to address. AI-powered fraud is a governance, financial, and strategic risk – not just an IT problem.
The Evolution of Corporate Fraud
Fraud is no longer limited to static phishing emails. Threat actors, from organized criminal syndicates to rogue insiders, use large language models and advanced machine learning to execute complex, multilayered fraud schemes.
One of the most cited reference cases is the 2024 Arup incident. A finance employee at the engineering firm’s Hong Kong office was tricked into transferring about $25 million across multiple transactions after joining a video conference call with deepfake replicas of the company’s CFO and other colleagues. The fraud succeeded because it targeted the human authorization step, the exact step where financial controls assume identity can be trusted on sight and sound.
Beyond deepfake executives, new trends include synthetic vendor creation, where generative models fabricate entire corporate entities. Each comes complete with tax IDs, websites, regulatory filings, and executive profiles. They are used to infiltrate accounts payable systems. Bad actors also use machine learning to reverse-engineer enterprise anti-fraud algorithms, find blind spots, and execute micro-transactions that stay beneath detection thresholds.
Why the Numbers Should Worry Boards, Not Just Security Teams
The 2026 INTERPOL Global Financial Fraud Threat Assessment flagged AI-powered fraud as one of organized crime’s primary growth sectors. It reports that fraud alerts have risen 54 percent since 2024, with more than 1,500 cross-border cases involving $1.1 billion in lost assets.
The Regulatory Gap Executives Should Worry About
Regulation is accelerating, but it is not solving the fraud problem. The EU AI Act’s transparency provisions took effect Aug. 2. It requires the disclosure of AI-generated content, with penalties for noncompliance. As of July 2026, 48 states in the United States have enacted at least one deepfake-related law, according to Ballotpedia’s tracker. Yet none of these frameworks is really built for enterprise fraud. They target content moderation, disclosure, and non-consensual media. None directly addresses the authorization workflows attackers actually exploit. A company that is fully compliant with deepfake laws would still be exposed by the Arup scenario.
Regulators such as the Federal Trade Commission (FTC) have signaled that using AI to deceive is prosecutable under existing fraud statutes, but enforcement is reactive and case-by-case. Executives who treat fraud as just a criminal act rather than a governance failure arising from inadequate technical oversight face severe personal and corporate liability.
Strategic Challenges and Recommended Actions
Defending against AI-powered fraud requires rethinking how security spending is justified. Traditional ROI models rely on historical loss avoidance, but in the age of generative fraud, past losses are an unreliable predictor of future exposure.
The primary implementation challenge is friction versus security. Deploying stronger authentication and behavior monitoring across corporate touchpoints creates friction that employees and vendors resist. In addition, integrating AI defenses into legacy enterprise resource planning (ERP) systems creates technical debt. Organizations also struggle with data silos, even though fraud detection now requires real-time visibility across all departments.
To protect enterprise value, leadership teams should move from passive compliance to active resilience.
Verify out of band. Require a callback to a known number and dual approval for large or unusual transfers. Never authorize a payment on a voice or video request alone.
Strengthen authentication. Use multifactor cryptographic verification and zero-trust principles (verify every request, regardless of source). Treat biometrics with caution, since deepfakes can spoof them.
Red-team for AI fraud. Have ethical hackers use generative AI to stress test internal systems and give the risk committee ownership of the results.
Use AI to fight AI. Deploy monitoring tools that flag behavioral anomalies across internal communications, ledger entries, and vendor registries in real time.
Establish cross-functional fraud task forces. Break down departmental silos and treat fraud detection as an integrated business process.
Future Outlook
As AI advances, the convergence of generative AI and autonomous software agents suggest that corporate fraud may increasingly be automated, including by self-directed AI agents operating as fraud syndicates. Business leaders must recognize that the future of corporate defense relies not on human vigilance alone, but on building resilient, self-healing digital ecosystems where trust is algorithmically verified and continuously audited.
Disclaimer
These articles provide general information on tax, accounting, and financial topics for small businesses and individuals. They are educational in nature and are not specific legal, accounting, financial, tax, or other professional advice, and should not be relied upon as such. This content was prepared by Service2Client and may have been reviewed or edited by the website owner for accuracy and compliance. Look for a trust mark below for verification details. No representation is made that any approach described will achieve a particular result, and no regulatory or professional body has reviewed or endorsed this content. Because each situation is different, readers should consult a qualified professional about their specific circumstances before acting. Images accompanying these articles are protected by copyright and may not be copied or reused.
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