AI and ML-powered detection
Seceon's platform leverages advanced algorithms to detect unknown malware and sophisticated attacks.
Malware is one of the most common causes of endpoint compromise. Various types of malware such as Trojans, Worms, and Botnets are used by cybercriminals to infect devices and launch attacks.
Malware activities include:
More alarmingly, Zero-Day Malware and Ransomware have the potential to cause massive financial and operational damage, and their unpredictable nature makes them particularly worrisome for industries globally.
Endpoints outside organizational firewall are often unguarded against malicious websites or torrent-based activities that invite malware.
Evasive techniques, including obfuscation, encryption, and stealth mode, make malware detection significantly more challenging.
Evolution of known vectors over time renders futility to previous tried defenses, signatures and heuristic-based detection techniques.
Malware tactics and techniques have evolved to avoid detection by software tools (system maintenance) and security controls (whitelisting/blacklisting). Sophisticated methods, including Machine Learning (ML) and Artificial Intelligence (AI), are used to overcome advanced detection techniques. This leaves very little to guesswork and static rules.
Seceon’s solution, powered by both aiSIEM and aiXDR, relies primarily on behavioral patterns across users and entities, questioning suspicious processes, file changes, and connections. It also keeps ears and eyes open to the external world of Cyber Threat Intelligence.
This mode of continuous monitoring aided by ML and AI enables Seceon to detect Zero-Day Threats, Ransomware, and other malware variants with a high degree of confidence.
Seceon’s AI-driven solution detects and prevents malware by analyzing system behavior, identifying malicious activity in real-time, and automatically blocking threats to ensure strong protection against malware infections and system compromise.
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