Comprehensive security analysis of keyboard activities to protect sensitive data and detect unauthorized access attempts.
Low-level system integration to capture keyboard events as they happen with millisecond-precise timestamps.
Advanced algorithms to identify unique typing patterns and detect anomalies that may indicate unauthorized users.
Identify when passwords, credit card numbers, or other sensitive information is being entered and ensure proper security protocols.
Visualize keyboard activity patterns throughout the day to identify productivity trends and unusual activity periods.
Set up alerts for specific keystroke patterns or suspicious typing behaviors that may indicate security risks.
Secure, tamper-proof logs of keyboard activities with detailed metadata and unique identifiers for forensic analysis.
type KeyEvent struct { Keycode uint16 // Raw keycode from the system Keychar string // Corresponding character Timestamp int64 // Precise timestamp UUID string // Unique identifier } // Event processing pipeline func processKeyEvent(event KeyEvent) { // 1. Security pattern analysis securityScore := analyzeSecurityRisk(event) // 2. User authentication verification if securityScore > securityThreshold { triggerSecurityAlert(event) } // 3. Safe, anonymous logging logEvent(anonymizeEvent(event)) }
MOFT's Keylogger utilizes low-level system hooks and native API integration to capture keyboard events with minimal performance impact and maximum reliability.
Works seamlessly across Windows, macOS, and Linux environments with native integrations for each platform.
Designed for reliability in multi-threaded environments to ensure no keyboard events are missed.
Optimized to use minimal CPU and memory resources while maintaining continuous monitoring capabilities.
Comprehensive key mapping system that accurately translates raw keycodes into meaningful characters across all keyboard layouts.
Identify when unauthorized users attempt to access systems by analyzing typing patterns that differ from the legitimate user's profile.
Ensure compliance with Payment Card Industry standards by monitoring and protecting systems where credit card information is processed.
Monitor for suspicious keyboard patterns that may indicate insider threats attempting to access or exfiltrate sensitive company data.
Ensure employees are following password security protocols by analyzing keystrokes during password entry without capturing the actual passwords.
Maintain tamper-proof forensic evidence of user activities for investigations into security incidents or compliance violations.
Distinguish between human users and automated scripts or bots by analyzing natural typing rhythms and patterns.
MOFT's Keylogger is designed with ethics at its core. We prioritize legitimate security monitoring while respecting user privacy through transparent deployment and appropriate data minimization practices.
Our system is built to capture only the data necessary for security analysis, with options to anonymize sensitive information and implement automatic data retention policies.
Comprehensive role-based access controls ensure that only authorized security personnel can access keystroke data, with detailed audit logs of all administrator actions.
Configurable notification options allow organizations to maintain transparency with users about monitoring activities in compliance with legal requirements.
Financial Services
"MOFT's Keylogger solution identified an unauthorized access attempt that our previous security measures had missed. The typing pattern analysis immediately flagged that someone other than the account owner was accessing critical financial systems. This early detection prevented what could have been a significant data breach."
Yes, when implemented correctly with proper notification to employees. MOFT provides compliance templates and best practices to ensure your keylogger deployment meets legal requirements in your jurisdiction, including clear employee notification and consent mechanisms.
MOFT's Keylogger includes intelligent context detection that can recognize when sensitive information like passwords are being entered. In these cases, the system can be configured to record only the fact that a password was entered without capturing the actual keystrokes, or to implement strong encryption and access controls.
MOFT's Keylogger is designed to have minimal performance impact. The lightweight agent typically uses less than 1% CPU and under 50MB of memory, ensuring that users experience no noticeable slowdown while maintaining comprehensive security monitoring.
Our advanced biometric analysis examines metrics like typing speed, rhythm, key hold times, and error patterns to create a unique profile for each user. When typing patterns deviate significantly from the established profile, the system can alert security teams to potential unauthorized access.
Schedule a personalized demo to see how MOFT's Keylogger can enhance your security posture and protect against unauthorized access.
Track and analyze clipboard activities to prevent data exfiltration through copy-paste operations.
Learn More →Secure video recording of screen activities with advanced privacy controls.
Learn More →Comprehensive monitoring of network traffic for potential security threats.
Learn More →MOFT's Keylogger module provides the sophisticated monitoring capabilities your organization needs to detect unauthorized access and protect sensitive systems.