In today's rapidly evolving cyber threat landscape, conventional security measures that rely on known signatures and historical attack patterns are no longer sufficient. Cyber attackers are continuously developing sophisticated techniques that evade traditional detection methods. eScan's Zero-day Defense system represents a paradigm shift in cybersecurity, deploying advanced behavioral analysis and machine learning to identify and neutralize threats before they're recognized by conventional security measures.
eScan's Zero-day Defense is a proactive security system designed to detect and block previously unknown threats—those that exploit vulnerabilities for which no patch exists and no signature has been developed. Unlike reactive security solutions that depend on prior knowledge of threats, our system analyzes behaviors, patterns, and activities to identify malicious intent before damage occurs.
The term "zero-day" refers to the fact that developers have had zero days to address and patch the vulnerability being exploited. These threats represent some of the most dangerous cybersecurity challenges because they target undiscovered vulnerabilities, giving organizations no time to develop and implement protective measures through conventional means.
Our system continuously monitors all system activities across your network, establishing baselines of normal behavior and flagging deviations that may indicate malicious activity. By analyzing the behavior of applications, processes, and system calls rather than relying on predefined signatures, we can detect suspicious activities even from previously unseen threats.
At the core of our Zero-day Defense is a sophisticated machine learning engine trained on millions of known malicious and benign behaviors. This engine continuously learns and adapts to new patterns, improving its detection capabilities with each analysis. The ML algorithms can identify subtle correlations between seemingly unrelated activities that might indicate an emerging attack.
Individual anomalies might not represent threats on their own, but when correlated across time and systems, they can reveal coordinated attack campaigns. Our system analyzes these patterns to distinguish between benign anomalies and actual threats, drastically reducing false positives while maintaining high detection rates.
By analyzing global threat data and combining it with local behavioral observations, eScan's Zero-day Defense can predict potential attack vectors before they're deployed, adding another layer of preemptive protection to your infrastructure.
The Growing Zero-day Threat Landscape
Recent industry reports indicate that zero-day vulnerabilities are being discovered and exploited at an alarming rate. According to cybersecurity research, there has been a 125% increase in zero-day exploits over the past three years. Each new vulnerability represents a critical window of exposure during which traditional security solutions provide inadequate protection.
For enterprises and organizations of all sizes, the potential impact of a successful zero-day attack can be devastating:
The average cost of a data breach has reached $4.45 million in 2023, with breaches caused by zero-day exploits typically costing 30-40% more than those using known attack methods. Without proper zero-day protection, organizations remain vulnerable during the critical period between vulnerability discovery and patch implementation—a window that often extends to weeks or even months.
Unlike solutions that merely claim to be proactive, eScan's Zero-day Defense provides genuine preemptive protection by analyzing behaviors and intentions rather than known signatures or patterns. This approach allows for protection against threats that have never been seen before.
Our advanced correlation engine distinguishes between benign anomalies and actual threats with remarkable precision. This means your security team spends less time investigating alerts and more time addressing genuine security concerns.
Traditional security solutions require constant updates to remain effective against new threats. eScan's Zero-day Defense operates independently of signature databases, providing continuous protection even when disconnected from update servers.
It provides application control, advanced web control, call, and SMS filter ensuring that the device is used for productive purposes in accordance with the BYOD/COD policy of an enterprise.
The more your system operates, the more effective eScan's Zero-day Defense becomes. Our machine learning algorithms continuously refine their detection capabilities based on your organization's unique environment and usage patterns.
eScan's Zero-day Defense doesn't require replacing your current security investments. It seamlessly integrates with existing EDR, XDR, SIEM, and other security tools, enhancing their capabilities and filling protection gaps.
When threats are detected, the system provides comprehensive forensic data for incident response teams, including process trees, affected systems, timeline of events, and attempted actions. This information is invaluable for understanding attack methodologies and strengthening defenses.