Trent AI Agentic AI Security Solution is a security platform designed specifically for AI agents and agentic systems. It operates as a continuous, self-reinforcing loop of four specialized agents that work together to scan, analyze, remediate, and evaluate security risks. The platform is composed of four agent types: - Threat Scanning Agent: Continuously monitors agents, code, infrastructure, and dependencies. Reduces noise over time and focuses on high-risk surfaces across legacy code, CI/CD workflows, and agentic systems. - Analysis Agent: Classifies findings as signal or noise, assesses business impact, and prioritizes risks based on context rather than static rules. Improves judgment accuracy over time using accumulated historical data. - Remediation Agent: Patches vulnerabilities, opens pull requests, adjusts configurations, and validates that fixes are effective. Learns from past fix outcomes to improve future remediation. - Security Posture Agent: Tracks risk trends over time, benchmarks against standards, identifies systemic weaknesses, and forecasts where risk may emerge next. Each cycle through the loop feeds intelligence back into the next, allowing the system to become more precise over time. The platform supports multiple deployment contexts including traditional web applications, AI-powered applications, and agentic systems. It differs from traditional application security tools (SAST, DAST, SCA) by addressing agent behavior, prompt-driven logic, tool permissions, data flows, and emergent risks specific to autonomous AI systems. Trent AI is an active member of OWASP and the CyLab Security and Privacy Institute at Carnegie Mellon University.