Hexcapes InfraVista

Pentesting Approach

• Predictive Modeling: Use machine learning algorithms to predict potential entry points and attack vectors based on historical data, threat intelligence, and system configurations.
• Anomaly Detection: Employ unsupervised machine learning techniques to identify unusual network traffic patterns, file system activity, or user behavior that may indicate malicious activity.
• Vulnerability Scanning: Utilize AI-powered vulnerability scanning tools to rapidly identify potential vulnerabilities in your organization's systems, applications, and infrastructure.
• Custom Attack Scenario Development: Develop tailored attack scenarios based on your specific environment, threat landscape, and machine learning-predicted entry points.
• Penetration Testing Execution: Execute the penetration test using a range of techniques including social engineering, vulnerability exploitation, and lateral movement.
• Post-Exploitation Analysis: Analyze the results using machine learning-driven insights to identify vulnerabilities and provide prioritized recommendations for remediation.

Types of penetration tests

• Network Penetration Test: Focuses on identifying vulnerabilities in your network infrastructure and devices.
• Web Application Penetration Test: Targets web applications, APIs, and backend systems for vulnerabilities and misconfigurations.
• Social Engineering Penetration Test: Assesses the effectiveness of your employee awareness and training programs against targeted attacks.
• Infrastructure Penetration Test: Evaluates the security of physical and virtual infrastructure, including servers, storage, and network devices.

The analysts at Hexcapes are dedicated to helping organizations like yours stay secure. Our team of experts has years of experience in penetration testing, incident response, and cybersecurity consulting. We'll work closely with you to understand your specific needs and goals and provide a comprehensive report outlining our findings and recommendations.