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.

Binarly's Transparency Platform stands at the forefront of firmware security, utilizing automated AI/ML technologies to detect vulnerabilities and malicious threats within software supply chains. It identifies transitive dependencies, malicious code, and swiftly resolves vulnerabilities, providing comprehensive risk management across your digital infrastructure. Businesses can capitalize on Binarly’s insights to enhance their security measures and stay ahead of potential threats, thus ensuring a more resilient operational environment.

IDA CoPilot is an open-source plugin for the IDA Pro disassembler that leverages GPT-style large language models to assist reverse engineers. It can generate detailed function summaries, suggest descriptive names for functions and variables, produce inline comments explaining assembly instructions, and offer pseudocode interpretations. By integrating directly into the IDA UI, it provides context-aware AI suggestions to accelerate malware analysis, vulnerability research, and binary auditing.