Category: What’s New in Technology

AI-Powered Corporate Fraud: What Business Leaders Need to Know

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…

4 min read

AI FraudFor 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

AI-powered scams grew 1,210 percent in 2025, more than six times the growth rate of traditional fraud. Deepfake video scams alone went up 700 percent. The 2026 International AI Safety Report confirmed the tooling behind this is free or low-cost, requires no technical skills, and can be deployed anonymously.

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. 

The Death of the App: Why Your Business Will Sideline SaaS Dashboards

For two decades, enterprise software has been built around a simple assumption: people log into multiple applications to retrieve information, make decisions and complete work. A CRM, a project tracker, a business intelligence…

4 min read

Sideline SaaS DashboardsFor two decades, enterprise software has been built around a simple assumption: people log into multiple applications to retrieve information, make decisions, and complete work. A CRM, a project tracker, a business intelligence dashboard, a support ticketing system, and more. All this is because these applications operate in isolation.

There is a shift whose intention is not eliminating SaaS applications. It’s about eliminating the need to constantly switch between them.

Why Dashboards Existed

Dashboards were built because software couldn’t interpret business intent. Humans had to retrieve, interpret charts, and decide what to do next. While dashboards were designed for human navigation, these static SaaS front ends are being replaced by dynamic, real-time interface synthesis.

The dashboard model worked when companies relied on a handful of applications. Today, enterprises manage hundreds of SaaS tools. An average large enterprise runs multiple SaaS applications – about 291 with large organizations scaling over 400. This makes constant switching a productivity problem rather than convenience.

A Harvard Business Review study revealed that digital workers toggle between different applications and websites about 1,200 times a day. This tool-switching alone costs employees an average of 44 hours per year due to tool fatigue. Meanwhile, most of the enterprise SaaS stack goes completely unused, and this is a weighty business cost.

What is Actually Changing

The shift in business computing is not about adding another dashboard to the stack, but rather usurping its purpose. The enterprise interface is beginning to shift toward intent-native workspaces, reducing the need to navigate traditional dashboards for routine work.

In comes agentic AI, which collapses the decision chain. Instead of opening a chart to figure out what it means, the user states an intent and an agent queries the underlying systems directly, synthesizes across them, and gives the user an answer or takes the action itself. For example, instead of a user logging into five different systems, a finance agent pulls real-time vendor invoices from an ERP, a legal agent scans contract terms, and a risk agent cross-references historical delivery delays. All coordinated by an orchestration layer.

Generative user interface (GenUI) technology pairs with this orchestration. Instead of presenting the same dashboard to everyone, a GenUI system generates a temporary interface tailored to the user’s immediate request. Once the task is complete, that interface disappears. If a user inputs their intention, such as checking which supplier poses a risk, the system dynamically renders a clean, interactive panel showing only the relevant vendor risk scores.

A survey by CrewAI on 2026 State of Agentic AI Survey found that adoption of agentic AI is moving fast. Of the 500 senior enterprise executives surveyed, 65 percent are already using AI agents, 81 percent have fully adopted and are actively scaling, and 100 percent plan to expand agentic AI use in 2026.

What Still Matters

Dashboards aren’t disappearing; their role is changing. The shift is not toward a better dashboard; it is to create systems that decide and act directly, with humans overseeing outcomes and not every step. Modern AI-driven operations demand speed that previous tools can’t cope with. Having insights without action is now a bottleneck. Static views, manual interpretation, and the lack of proactive alerts and personalized framing are limitations that drive the shift toward agents.

However, while agentic AI determines what happens next, the dashboards will keep documenting the process. They will also exist mainly as audit trails and compliance records, but not as the primary way work gets done.

What This Means for Your Business

For businesses evaluating software, appearance is becoming less important than accessibility. A polished dashboard matters little if AI agents can’t access its data or trigger actions. As enterprises increasingly rely on AI agents to automate work across multiple systems, software without strong AI integration risks becoming difficult to use, costly to upgrade, and easier to replace.

Logistically, this means businesses should start auditing their software stack for API maturity and AI agent readiness. Before renewing or purchasing new software contracts, a business should evaluate whether the platform has robust APIs, allows AI agents to securely access its data and perform actions, and is built to support an AI-driven workflow.

Conclusion

The biggest disruption is not the end of SaaS dashboards – it’s the end of software that waits for human input. The next generation of enterprise software won’t compete on who has the prettiest dashboard. It will compete on which platform gives AI agents the fastest, safest access to data and actions. Businesses that continue buying interfaces instead of intelligent access may soon find themselves paying for software no one opens.

Beyond Passwords: Why Recent 24B Records Leak is Wake-Up Call for Stronger Authentication

24B Records Leak, Beyond Passwords

4 min read

24B Records Leak, Beyond PasswordsThe recent discovery of a publicly available Elasticsearch cluster, a group of interconnected search servers, containing 24 billion exposed records, is among the largest-scale data breaches, highlighting the troubling reality that passwords have become a weak link in modern digital security.

For years, one of the responses to cyberthreats has been to create stronger passwords, implement password rotation policies, and deploy password managers. Despite all these efforts, credential-related attacks continue to dominate the threat landscape.

The latest threat is a reminder that the problem is not simply password hygiene – but the password itself.

The Weaknesses of Password-Based Security

Passwords were designed for a simpler era of computing. Today, passwords are used to protect everything from corporate networks and cloud applications to banking platforms and healthcare systems. Even with the evolution in computing, the basic principle of passwords remains unchanged. That is, access is granted on a secret that can be stolen, guessed, reused, or shared.

The 24 billion record leak demonstrates the scale of this vulnerability. This means cybercriminals now possess records of usernames, email addresses, login URLs and passwords that can be weaponized against organizations.

The password challenge is made worse by human behavior. Users often reuse passwords across multiple accounts, use predictable combinations, or rely on slight variations of existing credentials. This means a breach affecting one platform can easily become a gateway to many others.

Unfortunately, organizations continue to invest heavily in securing networks, endpoints and applications while still relying on an authentication mechanism that is failing to withstand today’s threat environment.

Why Traditional Defenses Are No Longer Adequate

The greatest danger that arises from a big password leak is credential stuffing attacks. In these attacks, cybercriminals systematically test stolen username and password combinations across thousands of websites and applications using automated tools. Since users frequently reuse credentials, attackers can achieve high success rates with minimal effort. The credential stuffing attacks model allows threat actors to compromise accounts without exploiting software vulnerabilities or bypassing sophisticated security controls.

Even password managers, although valuable, are not the best solution. They help users generate and store stronger credentials, but are not immune to phishing attacks, session hijacking, malware-based credential theft, or social engineering attacks.

Multi-factor authentication (MFA) improves security. However, attackers have increasingly taken advantage of MFA fatigue attacks, SIM-swapping, and real-time phishing proxies.

Simply put, organizations are investing significant resources to protect a flawed authentication model.

Passwordless Authentication: The Next Evolution of Identity Security

The business impact of credential compromise has far-reaching consequences. The solution today is not the use of stronger passwords – but instead, reducing dependence on them altogether.

Passwordless authentication promises more secure methods that are resistant to phishing, credential theft, and reuse attacks. Several technologies are emerging as a replacement for traditional credentials.

  1. Passkeys
    A passkey is a fast identity online (FIDO) authentication credential where, instead of typing a secret word, a user device confirms who they are using built-in security. An example is when you log in to a Google account, and your phone simply asks for your fingerprint or face scan.
  2. Biometric Authentication
    This adds another layer of convenience and security. It includes fingerprint scans, facial recognition, and other biometric identifiers. These allow users to authenticate using characteristics that are unique to them rather than information they must remember.
  3. Hardware Security Keys
    This provides another powerful option. It involves the use of physical devices such as YubiKeys or Google Titan Security Keys that authenticate users through public-key cryptography. Because the private key never leaves the device, it provides strong protection against phishing and credential theft and is widely considered among the most effective defenses against account compromise.

Despite the advantages of these passwordless methods, adoption remains low. Many organizations continue to operate legacy systems designed around traditional username and password models. It is worth noting that the integration of modern authentication frameworks does require significant planning and investment. However, it should be considered as an evolution that requires strategic commitment rather than a quick fix.

Final Thoughts

The recent exposure of 24 billion records is more than another headline-grabbing cybersecurity incident. It is evidence that the password-centric model of digital security is no longer secure. This should prompt organizations still using the traditional password methods to adopt passwordless authentication.

As technology advances, new security challenges will arise, including the emergence of quantum computing and the need for quantum-resistant cryptography. These developments reinforce the lesson that security cannot remain static. The goal is not to predict every future threat, but to build security architectures that evolve with technology. 

6506148 B2 Patent: Nervous System Manipulation – Is it Real or Just Paranoia?

Imagine someone manipulating how you feel. Of course, no one wants that. But how about being manipulated unknowingly? This is exactly what is happening to your nervous system every time you switch on your TV or computer.

Well, at least according to the 6506148 B2 Patent.

The patent named “Nervous System Manipulation By Electromagnetic Fields From Monitors” was filed in 2001 and published in 2003. The patent was filed by one Hendricus G. Loss (perceived to be a fictitious person as no information about who he really is can be traced).

Is it Worth Any Attention?

We already know that the content displayed on TVs or even on the internet is created in such a way as to influence decisions, such as when making a purchase or standing behind certain beliefs.

The mind control subject has been a topic of discussion for a long time. Although initially considered a conspiracy theory, its reality has been observed in the content displayed by mainstream media.

But how about manipulation through the nervous system?

Science teaches us that the work of the nervous system is to carry messages throughout the body and control your senses. The nervous system, according to neuroscientists, is controlled by the brain.

Now, the brain is said to be a complex bioelectrical organ that produces electric fields.

That’s why it’s believed that you can rewire your brain through techniques such as listening to binaural beats. Scientists also claim to control brain functions with a technique that uses powerful electromagnetic radiation. This technique, known as Transcranial magnetic stimulation (TMS), can jam or excite particular brain circuits.

Think of how you are not allowed to use cell phones in some areas of a hospital or in an airplane (where some only allow use in airplane mode). This is so that the electromagnetic transmission of the phone does not interfere with critical electrical devices.

So if a brain is a bioelectrical organ, is there a possibility of manipulating it?

How it Happens, According to 6506148 B2 Patent

Here is a short excerpt from the patent abstract:

“Physiological effects have been observed in a human subject in response to stimulation of the skin with weak electromagnetic fields that are pulsed with certain frequencies near ½ Hz or 2.4 Hz, such as to excite a sensory resonance. Many computer monitors and TV tubes, when displaying pulsed images, emit pulsed electromagnetic fields of sufficient amplitudes to cause such excitation.

It is, therefore, possible to manipulate the nervous system of a subject by pulsing images displayed on a nearby computer monitor or TV set. For the latter, the image pulsing may be embedded in the program material, or it may be overlaid by modulating a video stream, either as an RF signal or as a video signal. The image displayed on a computer monitor may be pulsed effectively by a simple computer program. For certain monitors, pulsed electromagnetic fields capable of exciting sensory resonances in nearby subjects may be generated even as the displayed images are pulsed with subliminal intensity.”

The US Patent 6506148 B2 is a confirmation of the possibility to manipulate the nervous system. The patent includes 14 claims including how video can be used to manipulate the nervous system.

Is it just a conspiracy theory?

Well, it’s not easy to tell. But we can’t ignore the concerns raised in regards to electromagnetic fields (EMF). The EMF issue has raised so much concern that in May 2015, 190 scientists from 39 nations submitted an Appeal to the United Nations requesting the World Health Organization (WHO) adopt more EMF exposure protective guidelines.

Such concerns are an indication that the patent should not be ignored. It also goes to show that apart from your electronic devices recording, monitoring and watching everything you are doing, they can also influence living organisms’ feelings, perceptions, thoughts and behavior.

Switch off that Screen

Well, this is practically not possible. The dependence on these electronic devices is so high that we are practically immobilized if they were to be turned off. Electronics have become part of human attachment.

The age of the Internet of Things (IoT) doesn’t make it any better. Now that we are surrounded by electromagnetic emitting devices, the patent serves as an alert to the public of the possibility of what could happen if these technologies were used unethically.

Unfortunately, the technology is here to stay. The only option is to minimize the exposure from your EMF emitting devices. Therefore it’s not a bad idea to try something different: read a book, go hiking, take a walk or simply switch off that screen when you can.