Kritisi utilizes advanced AI and machine learning algorithms to perform smart contract security audits on multiple blockchain networks. The Gemini AI engine scans Solidity contracts in real-time, providing a comprehensive security score and identifying potential threats. Kritisi helps developers enhance their contract security by offering detailed explanations and suggesting improvements.

Sectricity RedSOC leverages artificial intelligence to conduct automated vulnerability scanning, analyze system weaknesses, and provide actionable insights for improving cybersecurity measures. This AI-driven agent continuously monitors systems for potential threats and alerts users about security violations, offering solutions for proactive risk management. Organizations using RedSOC can ensure their data integrity and security in a constantly evolving digital landscape.

Anti-Agent-Agent provides a programmable framework to generate both adversarial and defensive AI agents for conversational models. It automates prompt crafting, scenario simulation, and vulnerability scanning, producing detailed security reports and metrics. The toolkit supports integration with popular LLM providers like OpenAI and local model runtimes. Developers can define custom prompt templates, control agent roles, and schedule periodic tests. The framework logs each interaction, highlights potential weaknesses, and recommends remediation steps to strengthen AI agent defenses, offering an end-to-end solution for adversarial testing and resilience evaluation in chatbot and virtual assistant deployments.