Competitor About Us

Exploit Prediction

Exploit prediction is a cybersecurity practice that involves forecasting which vulnerabilities in software or systems are most likely to be exploited by attackers. The goal is to prioritize patching and mitigation efforts to reduce the risk of cyber attacks effectively. Given the vast number of vulnerabilities disclosed each year, it's impractical for organizations to address all of them immediately.

Data Collection-historical data Historical data in the context of exploit prediction refers to the collection and analysis of past information related to software vulnerabilities, exploits, attack trends, and breach incidents. This data provides insights into patterns and trends that can help predict which vulnerabilities are likely to be exploited in the future.

Features Extraction-CVSS Score CVSS (Common Vulnerability Scoring System) is a standardized framework used to assess the severity of software vulnerabilities. It provides a numerical score (ranging from 0.0 to 10.0) that reflects the potential impact and risk of a vulnerability, allowing organizations to prioritize their response efforts based on the severity of the threat.

Vulnerability Identification

We assess your organization’s security posture by identifying vulnerabilities across your digital infrastructure. Our system analyzes these vulnerabilities and provides a risk score, helping you prioritize the most critical issues that require immediate attention. This process allows you to allocate resources effectively and focus on mitigating high-impact risks first. By addressing these vulnerabilities, you can improve your security score and reduce your exposure to potential threats.