Trent AI
An agentic AI security platform that uses specialized agents to continuously scan, judge, mitigate, and evaluate AI systems.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Trent AI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Trent AI is an agentic AI security platform built to secure AI applications, agent workflows, and autonomous systems as they evolve. Its official product pages describe a continuous multi-agent loop where specialized security agents scan environments, judge risk, mitigate issues, and evaluate security posture over time. The platform is designed to address risks such as prompt injection, tool misuse, data exfiltration, privilege escalation, and unsafe agent behavior that traditional scanners and firewalls are not built to handle. Trent AI is aimed at development and security teams that need continuous, context-aware protection for AI systems across design, deployment, and ongoing operation.
Key features
- AI security
- multi-agent system
- prompt injection defense
- tool misuse detection
- data exfiltration
- privilege escalation
- security posture
- continuous monitoring
- context-aware guidance
- autonomous workflows
Use cases
- Continuously monitoring AI agents and workflows for security risks as systems change.
- Detecting issues such as prompt injection, tool misuse, data exfiltration, and unsafe autonomous behavior.
- Adding context-aware security guidance during AI application design and deployment.
- Improving AI security posture through iterative scanning, judgment, mitigation, and evaluation loops.