Even today, social engineering remains one of the most successful tactics for breaching security. According to the Verizon 2025 Data Breach Investigations Report, the human element plays a role in about 60% of all data breaches.

A recent, high-profile example demonstrates this reliance on deception: In late 2024, a sophisticated deep fake voice scam targeted the CEO of a prominent cloud security startup valued at $12 billion. Attackers utilized artificial intelligence to clone the CEO's voice, creating a convincing imitation, and sent voice messages to several employees urging them to disclose their login credentials. Although the deception was nearly flawless, the attackers overlooked one detail: the CEO's public speaking voice differed from his conversational everyday tone, a discrepancy that ultimately raised suspicion and prevented the breach.

 

The Psychology Behind Social Engineering Attacks

Social engineering is fundamentally fascinating because it targets psychology and exploits how people behave in certain situations, how they act, and how they make choices. It is manipulation at its core, misusing qualities such as compassion, loneliness, and ego.

These are the key psychological levers attackers exploit:

1. Authority and Impersonation

Attackers often impersonate figures of power—such as executives, managers, law enforcement, or government officials—because people are conditioned to respect and obey authority. When a message appears to come from someone “important,” recipients are less likely to question it.

Example: A phishing email claiming to be from your CEO demanding immediate payment of an invoice.

2. Urgency, Scarcity and Fear

Creating a sense of urgency or limited availability forces people into making quick decisions without proper verification. This tactic exploits fear of missing out or fear of consequences.

Example: “Your account will be suspended in 30 minutes unless you verify your details.” Scarcity can also appear as “Only 2 spots left—act now!”

3. Liking and Rapport

We naturally trust people who seem friendly, relatable, or similar to us. Attackers mimic this by using flattery, shared interests, or casual tone to build rapport.

Example: A scammer referencing your alma mater or hobbies in conversation to appear genuine.

4. Social Proof

Humans tend to follow the crowd. When attackers claim that “others have already complied” or “everyone is doing this,” it reduces resistance and makes the action feel safe.

Example: “All employees have completed this security update—please do yours now.”

5. Cognitive Overload & Fatigue

When people are tired, stressed, or overwhelmed, their ability to think critically drops. Attackers time their attempts during busy periods or after hours.

Example: Sending urgent requests late in the day when employees are rushing to finish work.

6. Commitment & Consistency

Once we agree to something small, we’re more likely to agree to bigger requests to stay consistent with our previous actions. Attackers use this by starting with harmless steps, then escalating.

Example: First asking you to confirm your email address, then later requesting banking details under the guise of “account verification.”

7. Sympathy & Compassion

People want to help others in need. Attackers pose as someone in distress or as a charity seeking donations.

Example: “I’m stranded abroad and need urgent help to pay for my flight home.”

8. Familiarity & Habit

People trust what feels routine or familiar. Attackers mimic internal processes or branding to make fraudulent requests look legitimate.

Example: A fake invoice that looks like your company’s standard template.

 

Goals of Social Engineering

The primary goal of social engineering is to gather information or obtain extra information that would otherwise be unavailable. This gathered data provides a strong base for future attacks, including technical ones. For instance, knowing a target prefers email over chat applications influences the chosen attack vector.

Additionally, attackers often attempt to deceive victims into transferring funds, deliver malware or ransomware through malicious links, or even gain unauthorized physical access to facilities.

Crucially, while security solutions and education can help, they cannot fully prevent human error. If a person chooses to click on something, technology cannot physically prevent that decision.

 

Online vs. Offline Social Engineering Techniques

Social engineering is not confined to the digital world—it thrives in both online and offline environments. Attackers adapt their methods to exploit human psychology wherever interaction occurs.

Offline Social Engineering Attacks

Offline methods occur in everyday physical environments. Examples include:

  • Tailgating: An attacker, looking and behaving like they belong, strikes up a conversation with an employee who has badge access to a secure building and then slips in behind them.
  • Impersonation: Pretending to be a repairman, carrying flowers, or making deliveries are effective methods to gain access to a location. The ability to "act," whether digitally or in person, is a key component.
  • Physical Drops: Attackers sometimes leave devices (like a USB drive) in public areas, such as a parking lot, with interesting titles to encourage curiosity. And if an unsuspecting employee connects one to a work machine, it could provide a direct route for attackers to infiltrate internal systems.
  • Shoulder Surfing: Observing someone entering passwords or PINs in public spaces.

Online Social Engineering Attacks

Digital methods involve striking up conversations via email, chat applications, or social media, or sending targeted content designed to trick a person into clicking on something. These methods encompass all the phishing-based attacks:

  • Phishing: This is a form of social engineering attack in which the attacker tries to gain access to login credentials, get confidential information, or deliver malware. Phishing is rooted in age-old deception, now supercharged by technology.
  • Spear Phishing: A targeted form of phishing aimed at a specific individual, organization, or business. Typical phishing campaigns don’t target victims individually – they are sent to hundreds of thousands of recipients.
  • Smishing/Vishing: Using SMS (text message) or voice calls, respectively, often preying on compassion and fear—such as the common "Mom, I’m in trouble, I need help" scam targeting parents.
  • Pretexting: A more elaborate and patient approach when compared to traditional phishing. It is based on a fabricated but believable scenario to trick the victim into revealing sensitive information or to perform specific actions.
  • Business Email Compromise: A sophisticated type of social engineering attack that relies on the ability to disguise oneself as someone within the company or a trusted external partner. BEC campaigns are highly targeted at specific roles, often executives or employees in accounting/finance, and may involve using AI to generate deepfakes for video conference calls to trick victim.
  • Technical Support Scams: Attackers try to sell fake services, remove nonexistent problems, or install a remote access solution into victim’s devices and gain unauthorized access to their data.

 

Common Scams That Exploit Vulnerability

While the ultimate goal is often financial (direct or indirect), attackers employ several tactics that specifically prey on emotional or social vulnerabilities.

Romance Scams

Romance scams capitalize on the need for connection and vulnerability, a threat that may have grown post-pandemic due to increased loneliness. Scammers create a persona designed to attract the victim. Popular tropes include:

  • The Soldier in Need: Claiming to need money to return home prematurely due to military processing issues.
  • The Sick Loved One: Establishing a relationship and then asking for monetary favors for a family member, child, or pet who is very ill.
  • The Astronaut: The seemingly outlandish claim of needing money to return home from space.

Extortion and Shame

Another set of attacks targets deep vulnerability and the taboo surrounding topics like pornography and intimacy.

  • Webcam Extortion (Sextortion): Victims receive spam emails claiming the attacker gained access to their computer and webcam, recording videos of them watching pornographic content. These emails exploit the fact that many people, especially younger individuals, won't seek help due to shame or guilt about visiting certain sites. The attackers usually do not have the videos but ask for a non-crazy amount of money (hundreds to a thousand dollars) that a victim might be able to gather to avoid the risk.
  • Deepfakes and Blackmail: Attackers may convince targets on dating apps or in conversations to send intimate pictures, which are then used for blackmail. Furthermore, deepfake technology can create believable non-consensual content, which attackers can use to try and blackmail the victim. Victims often avoid going to authorities because of the underlying feeling of shame or guilt.

 

AI’s Role in Modern Phishing

Artificial intelligence is transforming phishing attacks from generic spam into highly personalized, convincing campaigns. AI-powered tools can scrape vast amounts of public data—social media posts, professional profiles, and even writing styles—to craft messages that feel authentic and contextually relevant.

Generative AI enables attackers to produce flawless grammar, mimic tone, and even create deepfake audio or video for real-time impersonation during calls or video conferences. Unlike traditional phishing, which relied on obvious errors and mass distribution, AI-driven phishing scales precision: attackers can automate thousands of unique, tailored messages, making detection harder and increasing success rates. According to ENISA Threat Landscape 2025, 80% of all phishing emails identified between September 2024 and February 2025 incorporated AI in some capacity.

As AI evolves, phishing is shifting from “spray and pray” to hyper-targeted social engineering, blurring the line between real and fake interactions.

Key Red Flags and Prevention Strategies

Since social engineering relies on behavioral decisions, recognizing red flags is paramount.

Red Flags to Watch Out For:

  1. Over-Protesting Innocence: If someone repeatedly claims, "I'm not a scam artist," they probably are.
  2. Demands for Trust: Trust should be earned; beware if a person you don't know keeps claiming you must trust them.
  3. Unusual Profiles: Be cautious if a new contact has nothing in common with you, or if a known acquaintance suddenly creates a new social media profile.
  4. Panic Situations: If someone contacts you in a panic (via Messenger or email) asking for urgent help, contact them through a different mode of operation (e.g., call them if they texted you).
  5. Flawed Language: While AI is improving grammar, subtle cues, such as translated phrases that sound unnatural in English, can indicate a scam.
  6. Requests for Secrecy: If someone pressures you to not tell anyone else—your boss, partner, bank, or IT department—it’s a major sign of manipulation. Legitimate organizations rarely ask you to keep requests secret.
  7. Inconsistent Stories or Shifting Details: If the person changes their explanation, behaves evasively, or contradicts themselves when questioned, it’s often a sign of a social-engineering script falling apart.
  8. Unusual Attachments or Links: Unexpected files, strange link-preview text, or URLs that don’t match the claimed destination are common attack vectors.

 

Top 10 Takeaways for Defense:

  1. If it sounds too good, it's probably fake (whether it's an offer, a job, or an e-shop deal).
  2. Double-check strangers. If a communication is unexpected, contact the person through alternative, trusted channels. This is particularly important when receiving requests that seem unusual or urgent, such as unexpected wire transfer requests.
  3. Assume there might be a scam by default. Only assume there is not a scam once it is proven otherwise.
  4. Do not believe threats of computer access for low blackmail amounts. If an attacker truly had access to your device, they would likely use ransomware or steal credentials for a much larger payoff, not request a small sum like $200.
  5. Do not feel like you have to face it alone. It is not a shame to be scammed; it is the fault of the bad people doing it. Be open, get help, and use a good security solution.
  6. Slow Down—Scams Rely on Urgency. If a message or caller tries to rush you into acting (“right now,” “within 10 minutes,” “don’t think, just do”), pause. Legitimate institutions do not force snap decisions.
  7. Never Share Verification Codes or Passwords. No real organization—bank, employer, tech support, government—will ask for your 2FA codes, PINs, or passwords. Treat these as private keys.
  8. Verify Links and Domains Before Clicking. Hover over links or inspect addresses carefully. Look for subtle misspellings or domains that don’t match official websites. When in doubt, go directly to the site instead of clicking.
  9. Use Multi-Factor Authentication and Strong, Unique Passwords. Even if a scammer gets one password, MFA or unique passwords across accounts can limit damage. Prioritize strong 2FA methods like hardware keys or authenticator apps over SMS codes or email OTPs, as the latter are more vulnerable to phishing and interception.
  10. Lock Down Your Digital Footprint. The less personal information scammers can gather about you online (birthdays, employer info, family details), the harder it is for them to craft convincing attacks.

 

Key Takeaway: Your Judgment Is the Strongest Firewall

Social engineering remains one of the most potent threats in cybersecurity because it exploits the human element—a factor no technology can fully control. By leveraging psychological triggers such as authority, urgency, and trust, attackers bypass even the most advanced defenses.

The rise of AI-driven tactics like deepfakes only amplifies this risk, making awareness and vigilance more critical than ever. Ultimately, the best defense is a combination of education, skepticism, and layered security practices. Slowing down, verifying requests, and protecting personal information can significantly reduce vulnerability. In the end, technology can assist, but informed human judgment is the true firewall against manipulation.