Trent AI

Categories: Cybersecurity, Automation / Agents, Coding & Developer Tools | Pricing: Enterprise | Official Website ↗

Trent AI is an agentic AI security platform that acts as an AI Security Engineer, identifying and remediating risks across an organization's tech stack.

Trent AI provides an agentic AI security platform designed to augment security teams by acting as an AI Security Engineer. It helps organizations understand their attack surface, identify exploitable threats, and ensure compliance with frameworks like SOC 2 and NIST. The platform integrates with existing tools and operates by continuously unifying context from application code, infrastructure, configurations, and agents. The platform works by deploying on the user's terms, whether in public cloud, VPC, or on-premise, using various models. It reads code, documents, and security reports to create a continuously updated context layer. A judgment layer then reasons over this context to prioritize threats, and a remediation loop generates recommendations or prompts for coding assistants. Finally, it verifies fixes and learns from each cycle to keep the context current.

Key Features

Inventory & Architecture Review
Threat & Vulnerability Analysis
Compliance Mapping
End-to-End Context Layer
Judgment Layer for threat prioritization
Remediation Loop with recommendations
Verification & Improvement of fixes
Deployment flexibility (public cloud, VPC, on-prem)

Pros

Provides a senior security expert's depth from day one for AI-native startups.
Augments stretched enterprise security teams by cutting toil.
Continuously maps software, services, and data flows to reveal the real attack surface.
Prioritizes exploitable risks by cutting noise from existing security tools.
Maps controls to compliance frameworks and recommends steps to close gaps.

Cons

Pricing is not transparent and requires direct contact.
No free trial or public access for immediate testing.
Requires integration with existing security and development tools.
Specific integrations are not fully detailed on the homepage.
New users need to request pricing and a demo to get started.

Use Cases

Automated inventory and architecture review of AI systems
Continuous threat and vulnerability analysis for AI applications
Mapping security controls to compliance frameworks (e.g., SOC 2, NIST)
Generating remediation recommendations for identified security issues
Augmenting existing security teams to manage AI-specific risks

Best For

AI-native startups with no dedicated security hire
Enterprise security teams with evolving stacks
Organizations needing audit-ready AI security coverage
Teams shipping AI agents and AI-native features

Integrations: GitHub Actions

Platforms: Web

Watch demo on YouTube ↗

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