Trent AI

What Trent AI does

Trent AI provides an Agentic AI Security Platform that acts as an AI Security Engineer, augmenting security teams and securing risks while cutting toil. Built by security experts and engineers from leading tech companies, Trent AI offers continuous, invisible, and automatic security for software products. It maps software, services, agents, and data flows to reveal the real attack surface, analyzes threats and vulnerabilities, and maps security controls to compliance frameworks like SOC 2 and NIST. The platform integrates directly into development workflows, scanning, prioritizing, and fixing issues from within existing tools. Trent AI supports deployment in public cloud, VPC, or on-premise environments, using frontier, open-source, or private models, ensuring code and context remain within the user's boundary. It reads code, docs, and security reports across languages and stacks, creating a continuously updated context layer. It then reasons over this context to triage and prioritize threats, generates remediation recommendations or prompts for coding assistants, and confirms fixes with an audit trail, continuously learning and updating its context.

Products

• Agentic AI Security PlatformAn AI Security Engineer that provides invisible, automatic security for software products, augmenting security teams, securing risks, and cutting toil. It maps software, services, agents, and data flows, analyzes threats and vulnerabilities, and maps security controls to compliance frameworks. It integrates into development workflows for scanning, prioritizing, and fixing issues.
• trentclawA continuous security audit skill for OpenClaw configurations, skills, and tool permissions. It provides prioritized findings and exact fixes, checking for vulnerabilities, credential exposure, and unvalidated tool calls in OpenClaw setups and skills.
• AI Security Maturity Self-Assessment (ASMM)An assessment tool aligned with NIST CSF 2.0 and OWASP Top 10 for Agentic Applications, designed for CISOs and security leaders. It measures an organization's AI security maturity across 8 Protect categories (NHI & Access, Prompt Security, Tool Authorization, Memory Integrity, Supply Chain, Model Robustness, Output Guardrails, Secure AI SDLC) to identify gaps and provide a roadmap for improvement.

Key capabilities

• Inventory & Architecture Review: Maps software, services, agents, and trust/data flows.
• Threat & Vulnerability Analysis: Plugs into existing tools, cutting noise to exploitable risks with fix recommendations.
• Compliance Mapping: Maps controls and tools to frameworks (e.g., SOC 2, NIST) and recommends steps to close gaps.
• One Context Layer: Continuously unifies application code, infrastructure code, configurations, scripts & settings, agents (skills, tools, LLMs), and automations (GitHub Actions).
• Flexible Deployment: Deployable in public cloud, VPC, or on-premise with frontier, open-source, or private models.
• Contextual Reasoning: Reads code, docs, and security reports to triage and prioritize threats.
• Automated Remediation: Generates remediation recommendations or prompts for coding assistants.
• Fix Confirmation & Audit Trail: Confirms fixes and provides a full audit trail, feeding back for continuous learning.
• MCP Integration: Plugs into IDEs, AI app builders, and agent runtimes (e.g., Claude Code, OpenAI Codex, Lovable, Cursor) for in-workflow security.
• OpenClaw Security Audit: Continuously audits OpenClaw configurations, skills, and tool permissions.
• AI Security Maturity Self-Assessment: Measures AI security maturity aligned with NIST CSF 2.0 and OWASP Top 10 for Agentic Applications.

Use cases

• Securing software products by design.
• Augmenting security teams with AI-driven insights.
• Reducing security toil for stretched security teams.
• Identifying and prioritizing exploitable risks in software stacks.
• Ensuring compliance with frameworks like SOC 2 and NIST.
• Integrating security directly into development workflows.
• Assessing and fixing security issues in application code, infrastructure code, configurations, and AI agents.
• Auditing OpenClaw configurations, skills, and tool permissions for security risks.
• Assessing an organization's AI security maturity and identifying areas for improvement.
• Providing security advice before code is written (on ideas and design docs).

AI approach

Trent AI provides an AI Security Engineer platform that uses AI to map software, services, agents, and data flows to identify attack surfaces, analyze threats and vulnerabilities, and map controls to compliance frameworks. It reads code, documents, and security reports to create a continuous context layer, reasons over this context to prioritize threats, and generates remediation recommendations. The platform is designed to work with frontier, open-source, or private models, and can be deployed in public cloud, VPC, or on-premise environments, ensuring code and context remain within the user's boundary. It also offers an AI security maturity self-assessment aligned with NIST CSF 2.0.

Tech named: LLMs, MCP (remote or local), OpenClaw, Claude Code, OpenAI Codex, Lovable, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Claude Desktop & Cowork, NVIDIA NemoClaw

What it says sets it apart

• Built by security experts and engineers from AWS, Microsoft, Veeam, Confluent, & Spotify.
• Invisible, automatic security for the AI age.
• Augments security teams, acting as an AI Security Engineer.
• Continuously unifies context from various sources (code, infrastructure, agents, automations).
• Integrates directly into existing development tools and workflows (IDEs, AI app builders, agent runtimes) via MCP.
• Supports flexible deployment options (public cloud, VPC, on-prem) with various models.
• Focuses on agentic systems and their unique security challenges.
• Provides specific security assessment for OpenClaw, identifying vulnerabilities in skills and configurations.
• Offers an AI Security Maturity Self-Assessment aligned with NIST CSF 2.0 and OWASP Top 10 for Agentic Applications.

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.