SynerComm AI & LLM Penetration Testing

SynerComm AI & LLM Penetration Testing is a specialized security assessment service focused on identifying vulnerabilities in AI systems, machine learning models, and large language model (LLM) deployments. The service targets security weaknesses that traditional testing methodologies may not detect, covering the full AI stack from software to hardware. Areas assessed include: - Prompt injection weaknesses that could allow attackers to bypass rules or access connected systems - Training data vulnerabilities, including data poisoning and insecure data pipelines - Chatbot and LLM risks that may lead to unintended disclosure of private data - Insecure API and cloud service integrations connected to AI systems - Hardware-layer threats in AI-enabled devices, including firmware and communication protocols The methodology is structured around the OWASP Top 10 for Large Language Model Applications, systematically evaluating: - Input handling and defenses against prompt injection - Output filtering to prevent sensitive data disclosure - Authentication systems controlling access to AI capabilities - Monitoring mechanisms for detecting suspicious AI interactions The service also includes a product assessment component for AI-enabled hardware devices, covering physical hardware analysis, firmware reverse engineering, protocol examination, and on-device neural network security validation. Findings include documentation of how identified attack paths can be exploited and remediation guidance.