Keylogger detection involves identifying malicious tools or hardware designed to record a user's keystrokes. Keyloggers are a common threat in cybersecurity, often used to steal sensitive data like login credentials, banking information, or personal communications. Detecting and mitigating keyloggers is critical to protecting both individual users and organizational systems.

Keylogger detection can be approached in several ways:

Manual Inspection: Users can check for unauthorized processes or software running on their systems. Reviewing task managers, startup programs, and installed applications can help identify anomalies.
Anti-Malware Software: Modern security solutions often include keylogger detection by scanning for known signatures or behaviors associated with these threats.
Behavioral Analysis: Advanced techniques, including machine learning, monitor for unusual patterns like repeated input captures or unrecognized outbound network traffic.
Sandboxing: Isolating and analyzing suspicious software in a controlled environment can reveal keylogging behavior.
Preventing keylogger attacks involves using strong passwords, multi-factor authentication, and keeping software updated. Organizations often employ network monitoring tools to detect and block data exfiltration attempts.

Combining proactive security practices with robust detection mechanisms ensures comprehensive protection against keyloggers, safeguarding personal and organizational data from cyber threats.