Account Security Fraud

Social Engineering

Social engineering is a manipulation technique that exploits human error to gain private information, access, or valuables.

Disclaimer

We do not offer, support, or condone any illicit services mentioned in this glossary. We also do not sell any data to illegal entities. These terms are provided solely for educational and awareness purposes to help businesses understand and prevent fraud.

What is Social Engineering?

Social engineering involves deceptive methods that trick individuals into breaking normal security procedures, often through emails, phone calls, or in-person interactions, to extract sensitive data or gain unauthorized access. These attacks are a cornerstone of social engineering fraud in modern cybersecurity breaches.

What Do Social Engineering Attacks Rely On?

Social engineering attacks exploit human trust and lack of awareness depending on psychological manipulation, a sense of urgency, and impersonation to bypass technological safeguards. 

Why Do Cyber Attackers Use Social Engineering Attacks?

Cyber attackers favor social engineering attacks because they target the weakest link in cybersecurity—humans. These attacks are effective at bypassing sophisticated technical defenses and are easier to execute than hacking systems directly.

How Social Engineering Occurs?

Attackers employ various social engineering tactics to exploit individuals and gain access to critical systems or information:

  1. Phishing
    • Deceptive Emails: Fraudsters send emails that appear to be from legitimate sources, tricking individuals into providing personal information.
  2. Pretexting
    • Fabricated Scenarios: Creating a believable pretext to manipulate victims into divulging sensitive information.
  3. Baiting
    • Tempting Offers: Offering something enticing to lure victims into giving away information or access.
  4. Tailgating
    • Physical Entry: Gaining unauthorized physical access by following someone into a restricted area.
  5. Vishing
    • Voice Phishing: Using phone calls to trick individuals into revealing confidential information.

Example of Social Engineering Attacks

  • Business Email Compromise Fraud: Impersonating executives to authorize fake wire transfers.
  • Phishing Scams: Email campaigns designed to steal login credentials.
  • Pretexting Attacks: Fabricating emergencies to acquire sensitive data.

What are the Impacts of Social Engineering on Businesses?

  1. Financial losses
    • Fraudulent Activities: Financial losses from fraudulent activities enabled by social engineering.
  2. Data Breaches
    • Compromised Information: Loss of sensitive company data due to successful social engineering attacks.
  3. Reputation damage
    • Trust Issues: Damage to reputation and loss of customer trust due to breaches and fraud.
  4. Operational disruption
    • Business Interruption: Disruption of business operations due to fraud investigations and mitigation efforts.
  5. Increased Security Costs
    • Training and Prevention: Higher costs for employee training and implementing advanced security measures.

How to Protect Against Social Engineering Attacks

  • Phishing Detection: Deploy advanced tools like Global Risk Persona to identify and mitigate email phishing attempts and suspicious behavior patterns. 
  • Unauthorized Access Monitoring: Track anomalous login attempts and irregular IP usage. 
  • Identity Verification: Use robust biometric tools to verify the authenticity of emails and user credentials for added security. 
  • Email Threat Monitoring: Enforce secure email protocols like SSL (Secure Sockets Layer) and DMARC (Domain-based Message Authentication, Reporting, and Conformance) for comprehensive defense.

AI Tools for Detecting Social Engineering Scams

Artificial intelligence plays a critical role in defending against social engineering fraud:

  • Behavioral Analytics: Track user behavior and detect anomalies indicative of manipulation tactics or unauthorized actions. 
  • Machine Learning Models: Continuously adapt to emerging threats by analyzing real-time and historical data for social engineering attack examples. 
  • Real-Time Monitoring: Instantly block attempts such as phishing and unauthorized account access, providing proactive protection. 

How To Prevent Social Engineering Attacks

Prevention strategies involve layering robust security measures across platforms:

  1. Multi-Factor Authentication (MFA): Protect user accounts with time-sensitive passwords or biometrics to reduce the risk of compromise. 
  2. Email Threat Monitoring: Detect malicious emails with advanced tools to block them in real time.
  3. Secure Email Protocols: Enforce encryption standards like TLS (Transport Layer Security) and anti-spoofing measures such as SPF (Sender Policy Framework) and DKIM (DomainKeys Identified Mail). 

By integrating these strategies, organizations can fortify defenses against common social engineering attacks and enhance cybersecurity resilience. 

Learn more about AI-powered fraud detection tools for real-time prevention.