Trent AI is a cybersecurity company focused on security for AI agents and agentic applications. The company offers a platform designed to assess, monitor, and remediate security risks specific to AI-driven systems, including multi-agent architectures, AI-native apps, and agentic workflows. The platform operates through a cycle of scanning, judging, mitigating, and evaluating security posture. It connects to AI agents, AI-native applications, and development tools such as Claude and Lovable, then produces a prioritized remediation plan rather than a raw list of alerts. Users can review and approve fix plans, which Trent AI can apply directly through integrations with Claude Code, Lovable, or CI/CD pipelines. Key threat categories the platform addresses include: - Prompt injection attacks - Tool misuse across services - Unintended autonomous actions - Data exfiltration through agent chains - Privilege escalation across agents - Security regressions after changes Trent AI also provides a conversational security advisor feature that guides developers in designing agents securely from the initial architecture phase, offering continuous, context-aware guidance through the development lifecycle. The platform is positioned as a continuous assessment solution, contrasting itself with point-in-time approaches such as traditional static scanners and periodic penetration testing engagements. It targets development teams building agentic AI applications who require ongoing security coverage across code, agents, infrastructure, and workflows. Trent AI is a member of OWASP and is affiliated with the CyLab Security and Privacy Institute at Carnegie Mellon University. The company raised $13M in seed funding and emerged from stealth as of early 2026.