AIShieldNet offers a comprehensive cybersecurity solution powered by advanced AI and machine learning algorithms. It provides real-time analysis and threat detection to protect against zero-day ransomware, phishing attacks, malware, and viruses. With a cloud-based architecture, it offloads processing from endpoints, enabling efficient and swift threat mitigation. The platform supports file analysis including Excel, Word documents, and PDFs to ensure no hidden threats escape unaddressed. It also features customizable defense modes and a user-friendly SaaS reporting dashboard for monitoring and fine-tuning security measures.

The Automated Vulnerability Scanning with Agentic AI project leverages large language models to autonomously plan, execute, and report on security assessments. By integrating tools like Bandit for static analysis, Nmap for network enumeration, and CVE databases for vulnerability matching, the agent creates a step-by-step scanning workflow. It analyzes code repositories for insecure patterns, probes network ports for exposed services, correlates findings with known vulnerabilities, and generates an actionable report with risk ratings and remediation guidance. Users can customize scanning pipelines, define target scopes, and integrate results into existing CI/CD pipelines. This LLM-driven agentic framework reduces manual effort and accelerates the discovery and mitigation of security risks across applications and infrastructure.