Network Penetration Testing
In today’s evolving threat landscape, organizations face increasingly sophisticated cyberattacks targeting network infrastructure. Secure Logic’s Network Penetration Testing service is designed to proactively identify and mitigate vulnerabilities before they can be exploited. Our approach combines industry best practices, AI-driven intelligence, and a hybrid testing methodology to deliver comprehensive security assurance across on-premises and cloud environments.
We follow a structured, multi-stage framework aligned with OWASP Top 10, PTES, SANS and global compliance standards:
Pre-Engagement & Scoping
Define objectives, success criteria, and rules of engagement. Tailor the scope to your environment—whether external, internal, or hybrid networks.
Information Gathering & Reconnaissance
Passive & Active Recon: Collect network topology, OS details, and service fingerprints. AI-Augmented Discovery: Use machine learning to identify hidden endpoints and misconfigurations faster than traditional scans.
Vulnerability Assessment
Automated Scanning: Leverage commercial tools and AI-based anomaly detection for rapid coverage. Manual Validation: Expert testers probe for logic flaws, chained exploits, and business-specific risks that automation may miss.
Exploitation & Impact Analysis
Simulate real-world attack scenarios using Metasploit, BurpSuite , Custom scripts, and AI-generated payloads to validate vulnerabilities and demonstrate potential impact.
Reporting & Remediation Guidance
Deliver detailed reports with CVSS scoring, proof-of-concept exploits, and prioritized remediation steps. Include business impact analysis and compliance alignment.
Our hybrid approach blends automation for breadth and manual expertise for depth
Automated Tools: Nmap, Nessus, OpenVAS, Burp Suite, and AI-driven platforms for rapid vulnerability detection.
Manual Techniques: Exploit chaining, privilege escalation, and contextual analysis by certified ethical hackers.
AI Integration: Adaptive scanning, intelligent exploit generation, and predictive analytics to uncover complex attack vectors.