What Is Social Engineering?

• Social engineering uses psychological techniques, such as exploiting a person’s trust, sense of urgency, or authority, to prompt them to take unsafe or illegal actions. These exploits target people rather than systems.
• Any member of an organization could be targeted by social engineering attacks, from employees and executive staff to customers and vendors.
• Modern social engineering campaigns often use phishing and impersonation along with AI-generated content to make their messages seem more believable and difficult to identify.
• For many of today’s biggest security threats, social engineering provides the initial attack path. This includes BEC, account takeovers, identity theft, and various forms of fraud.
• To protect yourself from these types of threats, you need more than just technical tools. You need to include security awareness training, clearly defined verification processes, and multiple layers of defense.

Social engineering exploits psychological vulnerabilities to manipulate individuals into disclosing sensitive information or performing actions that compromise organizational security. While traditional attacks typically target systems, social engineering targets people. This type of deception takes advantage of the way humans naturally react to trusting someone, recognizing authority, and being familiar with someone or something.

Today’s attackers are now using AI in conjunction with deception and identity impersonation to make manipulation more difficult to detect. An example of this would be an attacker replicating an executive’s voice to request that the company’s finance department carry out fraud. The reason social engineering has proven to be such a successful method of attacking organizations is that it relies on behavior. The attackers take the time to study their intended victim(s), understand where they work and what they do, and develop their strategy accordingly.

A threat actor might have a specific target in mind, or the attacker could cast a wide net to access as much private information as possible. Before a threat actor carries out a social engineering attack, their first step is to conduct due diligence on the targeted user or corporation. For example, the attacker could gather names and email addresses of the finance department staff from an organization’s LinkedIn page to identify targeted victims and standard operating procedures.

The reconnaissance phase is critical to the success of a social engineering attack. The attacker must fully understand the business’s organizational chart and target who has the authority to perform the actions necessary for success. In most attacks, social engineering involves the threat actor pretending to be someone the targeted user knows. The more information the threat actor collects about the targeted user, the more likely the social engineering attack will be successful.

With enough information gathered, the attacker can now carry out the next steps. Some social engineering attacks require patience to slowly build the targeted user’s trust. Other attacks are quick, where the threat actor gains trust within a limited time by conveying a sense of urgency. For example, the attacker might call a targeted user and pretend to be an IT support staff member to trick the user into divulging their password.

Just like most effective cyber-attacks, social engineering involves a specific strategy. Each step requires thoroughness because the attacker aims to trick the user into performing a particular action. Social engineering involves four steps. These steps are:

• Information gathering: This first step is critical to social engineering success. The attacker collects information from public sources like news clippings, LinkedIn, social media, and the targeted business website. This step familiarizes the attacker with the inner workings of the business departments and procedures.
• Establish trust: At this point, the attacker contacts the targeted user. This step requires conversation and convincing, so the attacker must be equipped to handle questions and persuade the targeted user to perform an action. The attacker must be friendly and might try to connect with the targeted user on a personal level.
• Exploitation: After the attacker tricks the targeted user into divulging information, exploitation begins. The exploit depends on the attacker’s goals, but this step is when the attacker gets money, access to a system, steals files, or obtains trade secrets.
• Execution: With the sensitive information obtained, the attacker can now perform the final goal and exit the scam. The exit strategy includes methods to cover their tracks, including detection avoidance from the targeted organization’s cybersecurity controls that could warn administrators that an employee had just been tricked.

Social engineering works best when attackers go after people with access, authority, or trust. In an enterprise environment, these targets make up more of the organization than most security teams realize.

• Employees represent the largest target group. Most phishing, smishing, and credential theft campaigns use broad targeting methods across the entire workforce.
• Executives are high-value targets for financial fraud, BEC, and deepfake impersonations. They are targeted by attackers to either obtain money from them or to impersonate them to get money from other employees.
• Finance teams are primary targets for wire fraud and invoice manipulation. If one employee approves a transaction, it could lead to significant financial losses for their employer.
• Help desk/IT staff are preyed upon through pretexting and impersonation to reset credentials, obtain new account access, or gain new system privileges.
• Customer service teams are vulnerable to account-takeover attacks, in which attackers impersonate legitimate customers to gain access to accounts or obtain customer personal data.
• Third-party vendors and partners can serve as an indirect point of entry into your systems because of the trusted relationships they’ve developed with your company.

Social engineering has been an issue for many years. These cyber-attacks began with simple phone scams and generic phishing emails that would cast a broad net in hopes of finding enough people to scam. The tactics were usually very basic and fairly easy to identify, but they had the potential to succeed because they were so widespread.

Things have changed significantly today. Modern social engineering campaigns are designed as multi-channel efforts. They can move across email, SMS, voice calls, social media, and even your work-based communication platforms. AI has accelerated the shift from manual, opportunistic scams to personalized, convincingly human automated attacks.

One of the greatest changes we have seen in modern social engineering is the level of precision. These attackers will do their homework to learn about you, mimic how someone familiar to you sounds and act/look like them, and create messages that seem legitimate. This isn’t just a numbers game anymore. Modern social engineering is much more of a targeted campaign. As such, it is much harder to detect than it was in the past.

AI has transformed the potential for large-scale social engineering. Threat actors are now able to leverage large language models to produce custom, contextually relevant communications within seconds, at a price point that allows nearly all types of threat actors access to highly-targeted spear phishing. A study conducted in January of 2025 demonstrated that AI-powered spear phishing had a 54% click-through rate (CTR), which is comparable to that of a human expert, but at less than one-tenth the cost.

This attack vector extends far beyond email. Voice-cloning applications may mimic a CEO’s tone and style based on a few minutes of audio. AI chatbots are able to maintain a believable conversation in near-real time, pretending to be IT support or a financial representative of a firm until their target complies. In the 2024 CFO deepfake video conference case, there were no real participants on the call, and the company lost $25 million before identifying the scam.

Social engineering works because it triggers instinctive responses before the target has time to think critically. Urgency, fear, authority, and curiosity are the primary lenses used to induce those responses. Being aware of these signals is the first line of defense against them.

A few patterns show up consistently across modern attacks:

• Pressure to act fast: When you need to act fast with financial transfers, reset credentials, or approve access to a resource, that is usually a tell-tale sign of social engineering. Executives often receive high-pressure financial requests from what they believe to be their colleagues or vendors.
• Identity impersonation: Attackers pretend to be executives, IT staff, vendors, or customer Support agents. This happens via email, phone calls, Slack, Teams, and even text messages. Cloned voices and AI-generated audio are now making it harder to detect phone-based impersonations.
• Polished, convincing language: AI-generated messages no longer have typos and awkward phrasing, which made such exploits easy to spot in the past. If a message feels slightly off despite looking professional, that instinct is worth listening to.
• Suspicious links and QR codes: Phishing links embedded in messages are a long-standing tactic. QR code scams, sometimes called quishing, are a growing variation that bypasses many traditional security filters.
• Account recovery and help desk requests: Support teams are frequent targets. Attackers pose as employees who need urgent credential resets or account changes. Always verify identity through a separate channel before making any access changes.
• Unverifiable senders: If somebody is unwilling or incapable of confirming who they are, that alone should cause you to pause. This goes for every channel.

The aim of social engineering is to deceive people into taking actions that they wouldn’t ordinarily take. The techniques listed below are some of the most common and damaging techniques being employed today.

Digital Impersonation

Attackers use digital channels to impersonate someone recognizable. They can ask for your password, money, etc. Most of the time, these attacks come via email or other digital channels.

• Phishing: These deceptive emails are designed to obtain user credentials, distribute malware, or direct users to fraudulent sites. Phishing messages are becoming more elaborate thanks to AI, so it is becoming increasingly difficult to determine if the message is legitimate or not.
• Smishing: This is a form of phishing that uses SMS/text messages to send users malicious links or prompt users to contact an illegitimate phone number. Users typically respond to an SMS more quickly and with less scrutiny than to an email.
• Vishing: The attacker uses a voice to impersonate a legitimate caller, including an executive, a vendor, or an IT staff member. Due to advancements in voice-cloning technology, vishing has become much more believable.
• QR phishing (quishing): Scammers embed malicious QR codes—in e-mails, PDFs, and physical signs—that lead users to websites where they are asked for their credentials. QR codes can bypass many of the typical link-scanning filters.
• Deepfake fraud: Deepfakes are generated using AI and include both audio and video. They can be used to impersonate a company executive, a colleague, or a vendor. These types of attacks are becoming more prevalent for use to make unauthorized transactions or influence employees during live conversations.
• Collaboration app scams: Scammers are now utilizing collaboration apps to impersonate executives or IT personnel. The scammers will create urgency around their request and may compromise an internal account to seem like a legitimate request.
• Social media impersonation: Threat actors are creating fake social media profiles that mimic executives, colleagues, or brands. Once the trust is built, the scammer will ask the target for sensitive information or ask the target to visit malicious content.

Access Manipulation

These tactics involve obtaining unauthorized access to systems through deception, persistence, or physically being present.

• Pretexting: Attackers create a fabricated story in order to gain the trust of the target. A classic example of pretexting is when a scammer poses as a bank representative to verify a customer’s account information after a reported security breach.
• Help desk deception: Support teams are high-value targets. Attackers impersonate employees in need of urgent credential resets or account changes. Verification workflows that rely on a separate, established channel are the most effective defense.
• MFA fatigue: Threat actors continue to repeatedly prompt the target for multiple forms of authentication until the target becomes frustrated or confused enough to accept one. This tactic was used in some high-profile breaches and can be detected only through behavioral analysis.
• Tailgating: This exploit occurs when an unauthorized individual follows an authorized employee through a secured door. This allows the unauthorized individual to bypass physical security measures completely. Tailgating does not require technical expertise; it relies on the employee’s courtesy and distraction.

Incentive and Lure Tactics

These techniques use promises, rewards, or fabricated opportunities to lower a target’s guard.

• Baiting: Scammers lure victims into accessing a malicious link or downloading a piece of malware, which is often in the form of free software, a gift card, or exclusive content.
• Quid pro quo: These attacks involve sharing something of value in exchange for access to the target’s system or sensitive information. Sometimes, quid pro quo is used by disgruntled employees who are contacted by outside threat actors.
• Fake offers and surveys: Disguised customer service interactions, prize notifications, or survey invitations are used by scammers to gather the target’s personal information or to redirect the target to a website that collects credentials.

Urgency is the most reliable signal that something deserves a second look. Attackers use it deliberately to compress the time between a request and a response. Slowing down is not a sign of inefficiency. It is the right instinct. A few practices that hold up across every channel:

• Verify through a separate channel: If a request arrives by email, confirm it by phone or in person before acting. If it arrives by phone, follow up through a known contact method. This applies to financial approvals, credential resets, and access changes. Executives receiving urgent wire transfer or approval requests should treat out-of-band verification as a standard step, not an exception.
• Do not trust urgency alone: Pressure to act immediately, even from a familiar name or voice, is reason to pause. Legitimate requests from colleagues, vendors, and executives can almost always wait a few minutes for verification.
• Treat AI-generated content as a credibility challenge: Polished language, familiar tone, and accurate context no longer indicate a message is real. AI makes impersonation more convincing across email, SMS, and collaboration platforms. Apply the same scrutiny to a well-written message as a poorly written one.
• Apply the same skepticism to collaboration tools as email: Impersonation in Slack, Teams, and similar platforms is a growing tactic. A message from a colleague’s account requesting urgent action should be verified the same way an email would be.
• Be cautious with voice and video requests: Voice-cloning and deepfake technology have made audio and video less reliable as identity proof. If a call or video request involves a sensitive action, verify through a second channel before proceeding.
• Navigate directly to sites rather than clicking links: If a message claims to be from a known service or vendor, open a browser and go directly to the site. The same applies to QR codes in unsolicited messages or physical materials.

Help desk and SOC teams require strong identity verification before any credential reset or access change. An attacker’s best path through your organization may be a single convincing phone call.

Social engineering defense techniques have advanced dramatically. However, these threats remain the leading threat to organizations because the most difficult defense to patch is human judgment. These include urgency, authority, and familiarity, among others. As such, attackers are continually improving their ability to manufacture these elements for use against individuals.

What has changed is scale and precision. Attackers can now use AI to generate a high volume of personalized, contextually relevant messages, which was impossible with previous technology. 2025 research found that AI-generated phishing attacks outperformed elite human red teams by 24%, a meaningful shift from just two years earlier, when AI lagged significantly behind.

The attack surface has also widened. Threats no longer arrive through a single channel or identity. They move across email, voice, SMS, and collaboration platforms in coordinated sequences. According to the Verizon 2025 DBIR, the human element was a factor in roughly 60% of breaches. That number has held steady for years, and that consistency is the point.

Deepfakes have gone from a hypothetical risk to an active threat, with hackers leveraging AI-generated audio and video to impersonate executive-level personnel, vendors, and colleagues. The quality of deepfakes is such that voice authentication can no longer be relied upon to identify a person.

The number of malicious QR code detections reported by Kaspersky increased fivefold between August and November of 2025. This type of attack is so successful at getting past people’s defenses because it often bypasses email filters and sends users to credential-harvesting sites on their mobile devices, which typically have less robust security software than desktops.

Collaborative workspaces have emerged as a major attack vector. There are increasing instances of impersonation on these platforms, especially when an attacker compromises a legitimate internal account, giving the impersonator some credibility.

There is growing concern among security professionals about AI-enabled autonomous capabilities for executing social engineering campaigns. Security teams are already planning how to deal with autonomous AI agents that can design and execute all aspects of a social engineering campaign, from research to lure development to delivery via any medium (e.g., email, phone).