Endpoint Central's Malware Protection is an advanced cybersecurity solution comprising the Next-Gen Antivirus and Anti-Ransomware add-ons. Next-Gen Antivirus employs predictive analytics and AI-assisted behavioral detection to detect, analyze, and prevent known and unknown malware, as well as file-less attacks. This approach ensures comprehensive breach protection, safeguarding your systems against evolving threats in real-time. Anti-Ransomware provides enhanced protection against sophisticated ransomware attacks by combining real-time behavior-based detection and tamper-protected backup restore support.
Computer viruses are among the oldest cyber threats, and antivirus (AV) solutions are among the earliest cybersecurity tools. As a foundational element of digital protection, AV solutions have evolved to combat modern cyberattacks. Businesses of all sizes need robust AV solutions.
Early AV solutions relied on signature-based detection, which had limitations against evolving threats like zero-day attacks, which lack pre-defined signatures. These unique patterns are scanned in the files and are compared byte-by-byte to the signatures of the malware in the existing virus database files. If there's a perfect match, it flags the file as malware. However, some known malware may alter their code to bypass signature-based detection, making them more potent, elusive, and unfortunately, more widespread. A single byte change throws off the signature match, rendering traditional AV ineffective. It also lacks in-depth visibility into program behavior, making it vulnerable to malware disguised as harmless files.
Heuristic analysis and behavior-based detection emerged to address these limitations. Modern AV solutions leverage AI technology for advanced threat detection and response. Endpoint Central's Malware Protection employs complete protection against all malware threats using AI and ML leveraged detection systems:
Our AI and ML-driven threat detection system provides continuous, constraint-free monitoring. This proactive approach eliminates security vulnerabilities and enables us to detect and respond to both known and unknown malware, including sophisticated fileless attacks, in real-time.
Multi-layered detection technology ensures maximum detection accuracy:
Ransomware exhibits stealthy aggressive behavior, residing on compromised systems without immediate detection. Upon activation, it rapidly encrypts critical files or restricts system access, severely limiting the window for proactive mitigation measures. This often culminates in a ransom demand, leaving victims with limited options. Early ransomware detection identifies infections before significant damage occurs, allowing users to take prompt action and mitigate irreversible damage.
Our Ransomware Detection Engine comprises an Intent-based behavior detection technique and has boosted accuracy. Ransomware can take many forms in terms of script languages and processes, but their core motive remains consistent: extortion for financial or strategic gain by encrypting files.
Preventive detection leverages a powerful combination of deep learning neural networks and ML. This approach minimizes the need for frequent updates while delivering fast and accurate results. It can instantly identify malware families, their operational methods, and their malicious intent, including the detection of zero-day malware without requiring any prior patient zero sample.
This method establishes a static detection approach employing diverse techniques to comprehend the nature of a threat. It involves a thorough dissection of the file, ultimately qualifying its intent as either malicious or benign.
Behaviour-based detection differs from traditional signature-based antivirus by focusing on how programs behave rather than simply identifying known malware signatures. This approach excels at detecting novel and evolving threats, including zero-day exploits, by monitoring for unusual system activity like rapid file access or abnormal network traffic. While challenges exist, such as defining normal behavior and potential performance impacts, behavior-based detection is crucial for identifying and mitigating sophisticated threats that evade traditional defenses.
Suspicious behavior is detected in all system processes for signs of active malware, such as suspicious registry or file copy actions. Behavior detection dynamically analyzes all programs running on the systems 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. Proficiently mapping attack paths, techniques, and the kill chain, Endpoint Central facilitates precise incident response. Identifying indicators of compromise (IOCs) enhance cybersecurity readiness, which empowers organizations to analyze, respond to, and fortify their security posture against evolving cyber threats.
An infected endpoint can be restored to its pre-malware state in a single click, effectively neutralizing the threat, which is crucial in countering threat actors who attempt to encrypt or erase backups, rendering recovery impossible. Additionally, the network quarantine feature isolates infected devices and promptly kills the malware, aiding in stopping a breach and enhancing containment measures.
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