Social engineering attacks exploit human psychology to deceive individuals into disclosing confidential information or performing actions that compromise security. Social engineers manipulate emotions like trust, fear, and urgency to trick victims into taking actions that are not in their best interests.
Unlike technical cyberattacks that target software or hardware vulnerabilities, social engineering focuses on exploiting human nature. Hacking a network to steal login credentials takes technical expertise and effort, while tricking a person into clicking a dangerous link, downloading an attachment, or paying an invoice is an easier route for attackers.
Key tactics used in social engineering attacks include
Authority: People are more likely to follow instructions when they appear to come from a supposed authority figure, such as an executive, IT administrator, or government official.
Intimidation: Attackers threaten targets with potential punishment or negative consequences if they don't comply with requests.
Urgency: Creating a sense of time pressure causes victims to act quickly without thinking critically about the request.
Trust: Attackers build rapport or impersonate trusted contacts to lower the victim's defenses.
Common social engineering attack methods include phishing, spear phishing, pretexting, baiting, vishing (voice phishing), and smishing (SMS phishing). Pangratis detects and blocks socially engineered attacks by using AI-powered behavioral analysis to identify anomalies in communication patterns, tone, and context that indicate manipulation attempts.