Trent AI is a specialized security platform for agentic AI applications providing AI Security Posture Management that compounds with every development cycle. As organizations deploy autonomous agents that interact with external tools, APIs, and data sources the attack surface expands beyond what traditional security tools can monitor. Trent AI scans, judges, mitigates, and evaluates agent security continuously rather than through point-in-time assessments.
The platform detects threats that traditional security tools miss including prompt injection attacks, tool misuse by agents, unintended autonomous actions, data exfiltration through agent chains, and privilege escalation through multi-step agent workflows. Design-phase security guidance helps teams build secure agent architectures from the start rather than retrofitting security controls. Integration with Claude Code enables automated remediation plan execution directly within development workflows.
With $13M in Series A funding Trent AI is positioned at the intersection of two rapidly growing markets: agentic AI adoption and AI security. For organizations deploying agents in production the platform provides the security visibility and enforcement that compliance teams and security engineers need to approve agent deployments. The continuous assessment model ensures security posture improves with each development iteration rather than degrading as agent capabilities expand.
