Trent AI Raises $13M to Secure the Agentic Age

Agentic AI Security That Compounds

AI Security For Your Agents

Move Fast. Build Agentic. Stay Secure.

Active In The Security Community & Proud Members

Your Security Stack Wasn’t Built for This

Your agents call APIs, chain tools, and act on behalf of users. Here’s what your existing tools miss.

Agents Outpace Your Security

Every new agent deployment widens the gap between what’s in production, and what your team can see. Traditional tools can’t reason about agent behavior.

New Risks Your Tools Can’t See

Prompt injection, tool misuse, data exfiltration through agent chains, your scanners and firewalls were designed for a world where software does what it’s told.

Periodic Audits Can’t Keep Up

Agents run and adapt in real time. Behavior changes as models update and tools are connected. Point-in-time reviews are outdated before they’re finished.

Scan • Judge • Mitigate • Evaluate • Loop • Agentic AI Security That Compounds

Ask "Am I Ready to Launch?" Get an Answer You Can Act On.

Connect your AI agents, AI-native apps, Claude, Lovable, OpenClaw or a URL. Trent gives you a security posture snapshot: how many critical issues you have, what to fix first, and how many remediation tasks remain. Each time you run an assessment, the picture gets sharper.
See how the agents work →

Assess Your AI Security Posture

Secure Your Ongoing Agent Development

An ever-evolving blueprint of your application’s threat landscape, built into every commit, update, and design iteration.

System architecture with risk assessment components

Actively interprets your application’s architecture, objectives, and operational context the way a world-class security engineer would, not through static rules or checkbox scans.

Threat detection and risk assessment dashboard

Anticipates threats, simulates potential attack paths, and guides you toward secure design decisions while you build.

Shield icon with threat prevention message
What We Find

A Prioritized Plan, Not a List of Alerts.

Other tools give you a wall of CVEs. Trent gives you a remediation plan, 12 actionable controls, classified by severity, with clear instructions your team can execute immediately. Critical issues first. Low-risk noise filtered out.

Review the Plan. Click Execute. Track Progress.

Trent builds the fix plan. You review it and approve. Trent applies the fixes, directly through Claude Code, Lovable, or your CI/CD workflow. Then it tracks which tasks are completed, which are in progress, and what’s left. Every re-scan updates the picture.

Your AI Security Assistant

Design Your Agents Securely From Day One

A Security Engineer at your side, asking the right questions, guiding your design thinking, and helping you anticipate risks before they appear.

A conversational design process that helps you architect and shape your application securely from the start.

Continuous, context-aware guidance, so you can be certain your application remains secure from the first design sketch to the final release.

What We Catch

The Threats Your Existing Tools Miss

Prompt Injection Attacks
Tool Misuse Across Services
Unintended Autonomous Actions
Data Exfiltration Through Agent Chains
Privilege Escalation Across Agents
Regressions After Changes

Why Not Your Existing Tools?

Your team already runs security tools. Here’s why they’re not enough for what you’re building now.

Trent is the right choice when you value:

  • Security that learns and compounds with every cycle
  • Coverage across your entire agent stack, code, agents, infrastructure, and workflows
  • Continuous assessment, not point-in-time reports
  • Specialized agents that scan, judge, mitigate, and evaluate, not generic tools repurposed for agentic systems
vs. Traditional Scanners

Find code-level issues known vulnerabilities, insecure dependencies, flagged patterns. They can’t reason about agent behavior, prompt-driven logic, or the risks created when AI agents call APIs, chain tools, and act on behalf of users. Different threat model entirely.

vs. Pen Testing Firms

Point-in-time engagement. Weeks of consultant time. A PDF report that’s outdated before you read it. Your agents change behavior every time a model updates or a tool is connected. You need continuous assessment, not a quarterly exercise.

vs. Cloud Security

Secure your cloud infrastructure, IAM, network, storage. They don’t see inside your AI application layer: prompt safety, agent permissions, tool misuse, data exfiltration through agent chains. Cloud posture is necessary but not sufficient.

Thanks to Our Design Partners

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Insights & Updates From Trent AI

Build Agentic. Stay Secure.

Connect your environment. Your security compounds from day one.