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.

Phishr combines automated phishing simulations with customized cybersecurity education to safeguard organizations from cyber attacks. Automated simulations identify which phishing emails users are prone to, and tailored training enrolls individuals based on their vulnerabilities. This helps law firms, MSPs, and IT managers to ensure their teams are prepared against real-life phishing threats without any manual intervention. Phishr is free for unlimited users and tenants, making it an accessible tool for enhancing cybersecurity measures.