Deepfake Impersonation Phishing Systems

You know, those scammy emails and calls? They’re getting way smarter. It’s like the bad guys are using super advanced tech now, making it really hard to tell what’s real and what’s fake. We’re talking about deepfake impersonation phishing systems, where someone can sound or even look like someone you know, or a trusted company, to trick you. It’s a whole new level of tricky, and we need to figure out how to spot it before we all fall for it.

Key Takeaways

Phishing attacks are getting more sophisticated, using AI to create fake voices and videos that look and sound real.
These deepfake impersonation phishing systems can trick people into giving up sensitive information or sending money.
Common ways these attacks happen are through fake emails, phone calls (vishing), and even video messages.
To protect yourself, be extra careful, always verify requests through a separate channel, and get training on how to spot these fakes.
New technologies and smart practices are needed to fight back against these advanced deepfake phishing threats.

Understanding Deepfake Impersonation Phishing Systems

The Evolving Landscape of Phishing Attacks

Phishing isn’t new, but the way attackers go about it is changing fast. Gone are the days of just sending out generic emails hoping someone clicks a bad link. Now, attackers are getting much smarter, using technology to make their scams look incredibly real. This shift means we all need to be more aware than ever. They’re not just relying on tricking you with words anymore; they’re starting to use fake audio and video to really sell their stories. It’s a whole new level of deception that makes spotting a scam much harder than it used to be.

Exploiting Human Psychology in Cyber Threats

At its core, phishing, and especially its deepfake version, plays on how people think and react. Attackers know that creating a sense of urgency, playing on fear, or even just sparking curiosity can make someone act without thinking. They might impersonate someone you trust, like a boss or a colleague, to get you to do something quickly. This manipulation of human behavior is a key part of why these attacks are so effective. It’s not just about the technology; it’s about understanding how people make decisions under pressure. Social engineering tactics are constantly being refined to exploit these natural human tendencies.

The Rise of AI in Sophisticated Phishing Campaigns

Artificial intelligence is a game-changer for cybercriminals. AI tools can now generate incredibly realistic text, audio, and video content. This means attackers can create personalized phishing messages at a scale never before possible. Imagine getting a video call from your CEO asking for an urgent wire transfer, and it looks and sounds exactly like them. That’s the power AI brings to these campaigns. It makes the impersonation much more convincing and harder to detect, turning what used to be a simple email scam into a complex, multi-sensory deception. This rise in AI-driven attacks means our defenses need to keep pace.

The Mechanics of Deepfake Impersonation Phishing

Deepfake impersonation phishing systems are a scary step up from the usual scam emails. Instead of just pretending to be your bank, these systems can actually sound like your boss or a trusted colleague. They use advanced AI to create fake audio and video that looks and sounds incredibly real. This makes it much harder for people to spot a fake.

Leveraging Synthetic Media for Deception

At its core, this type of attack relies on synthetic media. This means AI is used to generate or alter audio and video content. Think of it like digital puppetry, but instead of strings, it’s algorithms. The goal is to create a believable persona that can trick you into doing something you shouldn’t. This could be anything from sending money to revealing sensitive company information. The technology is getting so good that even experts can have a hard time telling the difference between real and fake.

Crafting Believable Scenarios and Narratives

It’s not just about the fake voice or face; attackers also need a good story. They’ll create scenarios that play on common business situations or personal relationships. For example, a deepfake audio message might sound like your CEO urgently asking for a wire transfer to close a deal. Or it could be a fake video call from a supposed IT support person needing your login details to fix a ‘critical issue’. These narratives are designed to create a sense of urgency or authority, making you act without thinking too much. They often use details gathered from previous reconnaissance, making the attack feel very personal and legitimate.

The Role of Voice and Video Manipulation

Voice and video manipulation are the key tools here. Voice cloning can replicate the exact tone, accent, and speech patterns of a target individual. Video deepfakes can create realistic facial movements and expressions that sync with the audio. This combination is powerful because it attacks multiple senses. When you hear a familiar voice and see a familiar face, your natural inclination is to trust it. This is why these attacks are so effective. It’s a sophisticated form of social engineering that bypasses many traditional security checks, making it a significant threat in today’s digital world. The ability to create convincing fake communications is a growing concern for cybersecurity professionals.

Attack Vectors for Deepfake Phishing

Deepfake technology opens up new avenues for attackers to trick people. It’s not just about fake emails anymore; the methods are getting much more creative and harder to spot. These new approaches often bypass traditional security measures because they play on our trust and how we interact daily.

Email and Messaging Platform Exploitation

Email remains a primary target, but deepfakes add a new layer of deception. Imagine getting an email that looks like it’s from your boss, but it’s not just text. It might include a link to a video message that appears to be your boss, asking you to urgently process a payment or share sensitive information. These messages are crafted to create a sense of immediate need, making recipients less likely to question the request. The same applies to messaging apps like Slack or Teams, where a deepfake audio or video message could be sent to impersonate a colleague or manager.

Impersonation of Authority: Messages from ‘executives’ or ‘HR’ requesting immediate action.
Urgency and Fear Tactics: Creating a scenario where delay could have negative consequences.
Social Engineering: Using personal details or company jargon to appear legitimate.

Voice Phishing (Vishing) with Deepfake Audio

Voice phishing, or vishing, has become significantly more dangerous with deepfake audio. Attackers can now mimic the voice of a trusted individual – a CEO, a family member, or a customer service representative – to solicit sensitive data or financial transfers. These audio deepfakes can be incredibly convincing, making it difficult for even trained individuals to distinguish them from the real voice. The goal is often to create a sense of personal connection and urgency that a standard phishing email can’t achieve. This is a major step up from older vishing tactics that relied on generic scripts.

The ease with which AI can now generate realistic voice clones means that a phone call from a ‘loved one’ in distress or a ‘bank representative’ needing to ‘verify’ your account could be a sophisticated scam.

Video-Based Impersonation in Targeted Attacks

Beyond audio, deepfake videos are also emerging as an attack vector. While perhaps more resource-intensive to produce, these can be used in highly targeted attacks, often referred to as spear-phishing or whaling. A personalized video message, appearing to be from a CEO or a key client, could be sent to a specific executive. This video might detail a supposed urgent business transaction or request sensitive company data. The visual confirmation, even if fake, adds a powerful layer of perceived authenticity that text or audio alone might lack. This makes it a potent tool for Business Email Compromise (BEC) schemes, where the stakes are often very high.

Here’s a look at how these vectors can be combined:

Vector Type	Primary Medium	Deception Method	Common Targets
Email/Messaging	Text, Links, Images	Spoofed sender, fake content	General users, employees
Vishing	Audio	Deepfake voice impersonation	Individuals, finance departments
Video Impersonation	Video, Audio	Deepfake video/audio impersonation	Executives, key personnel

The challenge with these attack vectors is that they exploit our natural tendency to trust familiar voices and faces, or authoritative figures. As the technology improves, distinguishing between real and fake will become increasingly difficult, making awareness and robust verification processes more important than ever. Understanding these methods is the first step in defending against them, especially when attackers are looking for initial access to systems.

Common Threats and Scenarios

Deepfake technology opens up a whole new can of worms when it comes to how attackers try to trick people. It’s not just about fake emails anymore; it’s about making those fake communications look and sound incredibly real. This really ups the ante for anyone trying to stay safe online.

Credential Harvesting Through Impersonation

One of the most straightforward, yet effective, uses of deepfakes is to impersonate someone you trust to get your login details. Imagine getting a video call from what looks and sounds exactly like your boss, asking you to "quickly" log into a system to approve something urgent. Or maybe it’s a "colleague" from IT, needing your password to fix a supposed issue. The goal is always to get you to hand over your username and password, which then gives attackers access to your accounts. This is a direct evolution of older phishing tactics, but with a much more convincing face (or voice) attached.

Business Email Compromise with Deepfake Elements

Business Email Compromise (BEC) scams have already cost companies billions. Deepfakes can make these attacks even more potent. Instead of just a spoofed email, an attacker might use a deepfake video or audio clip to impersonate an executive or a trusted vendor. This could be used to authorize a fraudulent wire transfer or to trick an employee into revealing sensitive company information. The personalization and apparent authenticity of a deepfake can bypass the usual skepticism that employees might have towards a suspicious email. It creates a sense of urgency and legitimacy that’s hard to ignore.

Financial Fraud and Transaction Manipulation

Beyond BEC, deepfakes can be used for more direct financial fraud. Think about a scenario where a deepfake audio call is made to a company’s finance department, impersonating a CEO or a senior manager, instructing them to make an immediate, large payment to a new vendor. The convincing voice and tone can make the request seem legitimate, especially if the employee is under pressure. Similarly, individuals could be targeted with deepfake videos or calls from fake family members or friends in distress, asking for urgent financial help. These attacks prey on our natural desire to help loved ones or obey authority figures.

Here’s a quick look at how these scenarios might play out:

Credential Theft: A deepfake video call from a "HR representative" asking for your employee ID and password to update your benefits.
Fraudulent Payments: A deepfake audio message from a "supplier" requesting immediate payment to a new bank account due to an "urgent administrative change."
Information Gathering: A deepfake video of a "IT support" person asking you to confirm your login details to troubleshoot a network issue.

The core danger of deepfake impersonation lies in its ability to exploit our inherent trust in visual and auditory cues. When we see and hear someone we believe we know, our guard is naturally lowered, making us more susceptible to manipulation. This psychological advantage is what attackers are increasingly aiming to exploit.

Real-World Implications and Case Studies

It’s easy to talk about deepfakes and phishing in theory, but what happens when it actually hits home? We’ve seen some pretty wild examples, and they’re not just theoretical anymore. These attacks can cause serious damage, both to individuals and to entire companies. Understanding these real-world scenarios helps us see why this is such a big deal.

Examples of Deepfake Impersonation Incidents

While specific, publicly detailed cases of deepfake impersonation leading directly to a successful phishing attack are still emerging, the underlying tactics are already in play. We’ve seen instances where attackers use voice manipulation to impersonate executives, asking employees to wire money or share sensitive data. For example, a CEO’s voice might be mimicked to request an urgent, off-the-books payment. Similarly, fake video messages, though less common in widespread attacks currently, could be used in highly targeted scenarios to trick a specific individual into believing a false narrative, perhaps about a security breach requiring them to reset their credentials on a fake portal. The technology is advancing rapidly, making these kinds of deceptions more believable.

Impact on Individuals and Organizations

The fallout from these attacks can be severe. For individuals, it might mean identity theft, financial loss, or even reputational damage if their likeness is used maliciously. For organizations, the consequences are often much larger. We’re talking about significant financial losses from fraudulent transactions, which is a major concern for Business Email Compromise (BEC) schemes that could be amplified by deepfakes. Beyond money, there’s the exposure of sensitive company data, leading to regulatory fines and a loss of customer trust. The operational disruption alone can be crippling, forcing businesses to halt operations while they investigate and recover. The reputational damage from a successful deepfake impersonation attack can linger for years.

Lessons Learned from Past Attacks

What can we take away from the incidents we’ve seen so far, even those that didn’t involve full-blown deepfakes? A few key things stand out. First, human error remains a massive vulnerability. People are often tricked because they trust what they see or hear, especially if it appears to come from a trusted source. This highlights the need for better awareness training. Second, verification processes are absolutely critical. If a finance department receives an urgent request for a wire transfer, even from a supposed CEO, having a secondary, independent way to confirm the request can stop fraud in its tracks. Relying solely on an email or a voice message isn’t enough anymore. Finally, the speed at which these attacks can happen means that incident response plans need to be robust and well-rehearsed. The sooner an organization can detect and contain a breach, the less damage it will likely suffer. It’s a constant game of catch-up, and staying ahead requires vigilance and a multi-layered defense strategy, not just relying on technology alone.

Defending Against Deepfake Impersonation Phishing

Deepfake impersonation phishing is getting trickier to stop as tools for creating fake audio and video become easier to use. No security measure is foolproof, so a mix of user training, careful verification, and better technology is key to staying ahead. Here are some ways you can boost your defenses against these slippery threats.

Enhanced User Awareness and Training

Regular training sessions help employees spot deepfake tricks—like voices or videos that sound "off" or urgent requests for sensitive info.
Simulated phishing attacks can show how real a scam might seem, making users more alert in daily work.
Employees should feel comfortable reporting anything suspicious, even if it’s a gut feeling about an email, call, or video.

If people treat odd messages, calls, or videos with healthy doubt—rather than sheer panic or quick compliance—organizations cut their risk significantly.

Implementing Robust Verification Procedures

Always double-check requests for wire transfers, credential resets, or sensitive information. Never rely on audio or video alone.
Use a secondary channel—like a company messaging app or a face-to-face chat—for confirmation before acting on high-stakes requests.
Encourage routine use of code words, call-back numbers, or authentication apps for important communications.
Organizations hit by multi-factor fatigue attacks have seen the value of coupling alerts and identity checks; more on preventing overload is detailed in our section on layered security methods.

Verification Method	Typical Use Case	Pros	Cons
Call-back verification	Money or data requests	Low-tech, simple	Time-consuming
Codeword check	Executive approvals	Hard to guess	Requires setup
Authenticator prompt	Login & access	Automated	May cause fatigue
In-person confirmation	Local teams	Direct proof	Not always possible

Leveraging Advanced Detection Technologies

Invest in software designed to spot synthetic voices, faces, or video cues that aren’t natural.
Use email filters, secure gateways, and behavior monitoring—these can flag unexpected requests, new senders, or odd attachments which often go together with brand impersonation and deepfake scams.
Upgrade multi-factor authentication to include biometrics, so even if a deepfake fools a user, a machine might spot something’s wrong.
Security teams should keep up with threat intelligence feeds that track new deepfake trends and phishing techniques.

A thoughtful approach combines people, process, and tech.

Quick Checklist for Defense:

Train staff regularly on the latest deepfake and social engineering scams.
Make verification the norm, especially for high-risk transactions or requests.
Deploy AI-powered detection tools where possible, but never rely on tech alone.
Keep reporting channels open and judgment-free.
Review incidents when they happen and update safeguards as scams evolve.

Attacks will keep getting smarter, but strong habits and layered security make a real difference.

Technological Countermeasures

When it comes to fighting off those tricky deepfake phishing attempts, technology plays a big role. It’s not just about training people anymore; we need smart tools working behind the scenes. These systems are designed to catch things that might slip past a human eye, especially when the fakes get really good.

AI-Powered Anomaly Detection

This is where artificial intelligence really shines. AI can look at a lot of data very quickly and spot things that just don’t seem right. Think about it like a super-powered security guard who notices tiny details. It can analyze communication patterns, user behavior, and even the way a video or audio file is put together. If something deviates from the norm – like a sudden, out-of-character request from a CEO or a voice that sounds slightly off – the AI can flag it. This helps catch attacks before they cause damage. It’s all about finding those unusual signals in the noise. For instance, AI can monitor for unusual login activity, which can reveal compromised credentials [db7c].

Biometric and Voice Authentication

For really sensitive stuff, relying on just a password or even a two-factor code isn’t always enough anymore. That’s where biometrics come in. Things like fingerprint scans, facial recognition, or even unique voice patterns can be used to verify someone’s identity. If a deepfake audio or video is trying to impersonate someone, it’s going to have a really hard time faking these unique biological traits. Voice authentication, in particular, can be a strong defense against voice phishing (vishing) attacks that use AI-generated voices. It adds a solid layer of proof that the person on the other end is who they say they are.

Content Provenance and Verification Tools

This is a bit like a digital fingerprint for media. Tools that focus on content provenance try to track where a piece of media came from and if it’s been tampered with. They can embed digital watermarks or use blockchain technology to create a secure record of a video or audio file’s origin. When you receive a video message, for example, a verification tool could check this record. If the record shows the content has been altered or can’t be verified, you know to be suspicious. It’s a way to build trust back into digital communications by making sure the content is authentic. These systems are becoming more important as AI-generated scams can impersonate executives or IT support to authorize fraudulent transactions [7a13].

Here’s a quick look at how these technologies help:

AI Anomaly Detection: Spots unusual patterns in communication and behavior.
Biometrics: Uses unique physical traits for strong identity verification.
Voice Authentication: Specifically verifies identity through voice characteristics.
Content Provenance: Tracks media origin and detects tampering.

The goal of these technological countermeasures is to create multiple layers of defense. No single tool is a silver bullet, but by combining AI analysis, robust authentication, and media verification, organizations can significantly reduce the risk posed by sophisticated deepfake impersonation phishing.

Organizational Best Practices

When facing deepfake impersonation phishing, having a plan is more important than ever. Consistency and preparation are just as critical as the technologies involved. Here are some straightforward ways organizations can hold up against these attacks.

Developing Incident Response Plans

Incident response isn’t just an IT checklist. It’s a whole-company habit. A solid plan addresses urgent issues and cleans up after, reducing repeat mistakes.

Create a clear playbook: Spell out steps for identifying and containing threats.
Assign roles: Define responsibilities for communication, investigation, and recovery.
Practice: Run tabletop exercises to rehearse scenarios and build team muscle memory.
Document lessons after each event. Continuous improvement keeps the playbook from gathering dust.

A good response plan isn’t perfect on launch—it’s shaped by real incidents, by honest mistakes and course corrections. Regular practice and feedback mean the team isn’t just checking boxes; they’re ready when things go sideways.

Fostering a Culture of Skepticism

Phishing and deepfake tactics often succeed because trust is assumed. Breaking that habit—carefully—is the goal.

Encourage everyone to question unexpected requests, especially those involving money or sensitive access.
Reward employees who report suspicious incidents, rather than ignoring them.
Remind teams that attacks can look shockingly authentic, and anyone can get tricked.
Promote transparent conversations about social engineering and failures, not just successes.

Maintaining a healthy skepticism, not pure mistrust, sets the right tone. Trust but verify.

Regularly Updating Security Policies

Policies don’t mean much if they get stale. Keeping them relevant to current threats—including new deepfake techniques—is a moving target. Here’s how organizations can keep up:

Step	Frequency	What to Review?
Policy audit	Annually	Update language and procedures
Security refresher	Bi-annually	Train on latest scam techniques
Phishing simulation	Quarterly	Test staff with modern lures

Review which controls actually work, and where gaps appear.
Clearly state expected employee actions on suspicious content, and make reporting easy.

When policies and training match today’s threats, people notice—and compliance goes up.

For detailed insight into how human psychology is manipulated in these schemes, and why training and verification processes lower risk, it’s worth examining how brand trust erodes during social engineering attacks and the role vigilance plays in keeping organizations safe.

The Future of Deepfake Phishing Threats

As technology marches forward, so do the methods used by cybercriminals. We’re already seeing how AI can generate incredibly convincing fake content, and this is only going to get more advanced. Think about it: instead of just text-based emails, attackers can now use deepfake audio and video to impersonate people you know, or even public figures. This makes phishing attacks much harder to spot because they play directly on our trust and our senses.

Increasing Sophistication of AI-Generated Content

AI is getting really good at creating realistic-sounding voices and lifelike video. This means future phishing attempts might involve a video call from what looks and sounds exactly like your boss asking for an urgent wire transfer, or an audio message from a supposed family member in distress needing money. The goal is always the same: to trick you into giving up sensitive information or taking an action you wouldn’t normally. The line between real and fake content is blurring rapidly, making human judgment the first and often last line of defense.

Exploitation of Emerging Communication Channels

Attackers aren’t just sticking to email anymore. They’re looking at every way we communicate. This includes messaging apps, collaboration platforms like Slack or Teams, and even in-game chats. Imagine getting a direct message on a social platform from a friend’s account, but it’s actually a deepfake impersonating them, trying to get you to click a malicious link. As new ways to connect pop up, criminals will find ways to exploit them for their own gain. It’s a constant game of catch-up for security professionals.

The Ongoing Arms Race Between Attackers and Defenders

This whole situation is a bit like an arms race. As defenders develop better tools to detect AI-generated content and train people to be more aware, attackers will find new ways to bypass those defenses. They’ll use more advanced AI, find new vulnerabilities, and target different communication methods. We’ll see more sophisticated methods like AI-driven reconnaissance to gather personal details for highly targeted attacks. Staying ahead means continuous innovation in both attack and defense strategies. It’s a challenge that requires constant vigilance and adaptation from everyone involved in cybersecurity. The fight against these evolving threats means we need to keep improving our detection methods and user education programs to stay effective against these emerging threats.

Regulatory and Compliance Considerations

When we talk about deepfake impersonation phishing, it’s not just a technical problem. There are rules and laws that come into play, and ignoring them can lead to some serious trouble. Think about data protection laws, for instance. If a deepfake attack leads to a data breach, especially one involving personal information, you’ve got to consider how that fits with regulations like GDPR or similar laws in other regions. These laws often dictate how you must handle data, what you need to do if it’s compromised, and how you inform those affected. It’s a whole legal minefield.

Then there are industry-specific standards. Some sectors, like finance or healthcare, have their own set of security requirements that are pretty strict. A deepfake attack that compromises sensitive financial data or patient records could mean not just a security incident, but a compliance failure too. This can result in hefty fines and damage to your reputation. It’s about more than just preventing fraud; it’s about meeting legal obligations.

Navigating Data Protection Laws

Dealing with data protection laws when deepfakes are involved means understanding how these synthetic media attacks might lead to unauthorized access or disclosure of personal data. Regulations like the GDPR (General Data Protection Regulation) in Europe, or CCPA (California Consumer Privacy Act) in the US, place strict requirements on how personal data is processed and protected. If a deepfake is used to trick an employee into revealing customer credentials, for example, this could be considered a data breach under these laws. Organizations need clear procedures for identifying such incidents, assessing the risk to individuals, and reporting breaches within mandated timelines. Failure to comply can result in significant penalties.

Meeting Industry-Specific Security Standards

Different industries have their own sets of rules. For example, the financial sector often adheres to standards like PCI DSS (Payment Card Industry Data Security Standard) if they handle cardholder data. Healthcare organizations must comply with HIPAA (Health Insurance Portability and Accountability Act). If a deepfake attack bypasses security controls and leads to a breach of financial or health information, it’s not just a security failure, but a violation of these specific industry regulations. This can lead to audits, fines, and loss of trust from customers and partners. Organizations must ensure their defenses against deepfake phishing align with these sector-specific mandates.

The Role of Compliance in Mitigation

Compliance isn’t just a box to tick; it’s a proactive part of your defense strategy. When you build your security program with regulations in mind from the start, you’re more likely to have the necessary controls in place. This includes things like user training, access controls, and incident response plans. For instance, many regulations require regular security awareness training for employees. This directly helps in defending against social engineering tactics, including those powered by deepfakes. Having a solid compliance framework means you’re already working towards mitigating risks associated with these advanced threats. It helps create a culture where security and legal obligations are taken seriously across the board. You can find more information on social engineering controls that support compliance with various standards.

Looking Ahead: Staying Ahead of Deepfake Phishing

So, we’ve talked about how deepfakes are making phishing attacks way scarier. It’s not just about fake emails anymore; now attackers can use fake voices or videos to trick people. This means we all need to be extra careful. Companies should definitely keep training their employees on what to look out for, and maybe use more than just a password to log in. As technology gets better, these scams will too, so staying informed and being a little suspicious is probably our best bet for now. It’s a constant game of catch-up, but being aware is the first step.

Frequently Asked Questions

What exactly are deepfake impersonation phishing systems?

Imagine someone pretending to be your boss or a trusted friend using a fake video or voice. Deepfake phishing systems do just that, but online. They use smart computer programs to create fake videos or audio of people to trick you into giving them secret information, like passwords or bank details.

How do these fake systems trick people?

These systems are clever because they play on our feelings. They might make you feel rushed, scared, or super curious. For example, a fake video of your boss might urgently ask you to send money. This makes people act fast without thinking, which is exactly what the bad guys want.

Are deepfake phishing attacks only done through email?

No, they can happen in many ways! While emails are common, these fake tricks can also show up in text messages, phone calls (called vishing), or even social media messages. Sometimes, they might even use fake video calls.

What kind of bad things can happen if someone falls for a deepfake phishing attack?

If you fall for it, attackers could steal your passwords and get into your online accounts, like your email or bank. They might also trick you into sending money to the wrong place or even steal your personal information to pretend to be you.

Can you give an example of a real deepfake phishing attack?

Sure! Imagine getting a video call from someone who looks and sounds exactly like your company’s CEO. They might tell you to quickly transfer a large sum of money to a supplier. In reality, it’s a deepfake, and the money goes straight to the attacker.

How can I protect myself from these kinds of attacks?

The best defense is to be aware and careful. Always double-check if a request, especially one asking for money or secret info, is real. If something feels off, like a weird video call or urgent email, try to verify it through a different, trusted way, like calling the person directly on a number you know is theirs.

What technology can help stop deepfake phishing?

There’s cool technology being developed! Some systems use smart computer programs (AI) to spot fake videos or voices. Others use special ways to check if it’s really you, like needing more than just a password, such as a fingerprint or a code sent to your phone.

What should companies do to prevent these attacks?

Companies need to teach their employees about these tricks and how to spot them. They should also have clear rules for important actions, like sending money, that require extra checks. Having a plan for what to do if an attack happens is also super important.