Endpoint Central's Malware Protection is an advanced cybersecurity solution comprising the Next-Gen Antivirus and Anti-Ransomware add-ons. It uses predictive analytics, artificial intelligence, machine learning, deep learning, and behavior-based detection to detect, analyze, and prevent known and unknown malware, including file-less attacks, in real time. This approach ensures comprehensive breach protection and helps safeguard endpoints against evolving cyber threats.
Anti-Ransomware provides enhanced protection against sophisticated ransomware attacks through real-time behavior-based detection and tamper-protected backup restore support.
Computer viruses are among the oldest cyber threats, and antivirus solutions are among the earliest cybersecurity tools. As a foundational element of digital protection, antivirus solutions have continued to evolve to defend against modern cyberattacks. Businesses of all sizes require strong protection against malware and other advanced threats.
Early antivirus solutions relied on signature-based detection, which had limitations against evolving threats such as zero-day attacks that do not have pre-defined signatures. These solutions scanned files for specific byte patterns and compared them against known malware signatures stored in virus definition databases. If there was a match, the file was flagged as malicious.
However, some malware can alter its code to bypass signature-based detection, making it more elusive and difficult to identify. Even a single byte change can prevent a signature match, reducing the effectiveness of traditional antivirus. Signature-based methods also lack deep visibility into how programs behave, making them less effective against malware disguised as harmless files or attacks that do not rely on traditional malicious binaries.
To address these limitations, heuristic analysis and behavior-based detection emerged. Modern antivirus solutions now use artificial intelligence and machine learning for advanced threat detection and response. Endpoint Central's Malware Protection provides broader protection against malware threats using AI and ML-assisted detection systems that help identify and contain sophisticated threats proactively.
Our AI and ML-driven threat detection system provides continuous, constraint-free monitoring. This proactive approach helps eliminate security blind spots and enables detection and response against both known and unknown malware, including sophisticated file-less attacks, in real time. It also supports real-time alerting to notify security teams upon malware detection through email or mobile app.
Multi-layered detection technology ensures maximum detection accuracy:
Ransomware exhibits stealthy and aggressive behavior, often residing on compromised systems without immediate detection. Once activated, it can rapidly encrypt critical files or restrict system access, leaving only a small window for mitigation. Early ransomware detection helps identify infections before significant damage occurs and allows administrators to take prompt action.
Our Ransomware Detection Engine comprises an intent-based behavior detection technique and offers improved detection accuracy. Although ransomware can vary in script languages and execution methods, its core objective remains the same: to extort victims by encrypting files or restricting access to systems and data.
The Data Exfiltration Detection Engine leverages anomaly-based machine learning to identify potential data theft attempts. It continuously monitors network traffic to detect unusual file uploads from endpoints to external or suspicious domains.
During the initial training phase, which typically lasts between 3 and 10 days, the engine learns normal data transfer patterns and upload behavior within the network. Once trained, it switches to active monitoring mode and compares ongoing activity against the established baseline. The model is retrained every two weeks to maintain detection accuracy as network behavior evolves.
Preventive detection leverages a powerful combination of deep learning neural networks and machine learning. This approach minimizes the need for frequent updates while delivering fast and accurate results. It can instantly identify malware families, their methods of operation, and malicious intent, including zero-day malware, without requiring any prior patient-zero sample.
This method establishes a static detection approach that uses multiple techniques to understand the nature of a threat. It involves detailed file analysis to determine whether the file is malicious or benign.
Behavior-based detection differs from traditional signature-based antivirus by focusing on how programs behave rather than simply identifying known malware signatures. This approach is effective in detecting novel and evolving threats, including zero-day exploits, by monitoring for unusual system activity such as rapid file access, abnormal process behavior, suspicious registry changes, and unusual network traffic.
While challenges such as defining normal behavior and potential performance impacts exist, behavior-based detection remains essential for identifying and mitigating sophisticated threats that can evade traditional defenses. It dynamically analyzes running programs and system processes to detect and block malicious activity.
Gain granular visibility and respond swiftly to cyber threats through comprehensive reports and analysis based on the MITRE ATT&CK® tactics, techniques, and procedures. By mapping attack paths, techniques, tactics, and the kill chain, Endpoint Central facilitates precise incident response and helps security teams examine anomalous detections with better context.
Identifying indicators of compromise (IOCs) enhances cybersecurity readiness and enables organizations to analyze incidents, respond effectively, and strengthen their security posture against evolving threats.
An infected endpoint can be restored to its pre-malware state in a single click, effectively neutralizing the threat. This is especially important when threat actors attempt to encrypt or erase backups to make recovery difficult or impossible.
Additionally, the network quarantine feature isolates infected devices, promptly kills the malware, and helps stop breaches by limiting lateral movement within the network. Malware Protection also supports continuous monitoring and online as well as offline reactive malware security, helping ensure business continuity even when endpoints are temporarily disconnected from the internet.
