Company profile
TrojAI
Securing AI Models, Applications, and Agents from Development to Deployment.
- Category
- Security AI
- Headquarters
- Saint John, New Brunswick
- Sells to
- Enterprise
- Business model
- Not stated
- Deployment
- Cloud / SaaS, On-premise, Self-hosted
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- Text
What TrojAI does
TrojAI helps the world’s leading enterprises secure the behavior of their AI/ML and GenAI models, applications, and agents. Our best-in-class AI security platform empowers enterprises to safeguard AI models and applications at both build time and run time. TrojAI Detect automatically red teams AI models during development, providing remediation guidance at build time. TrojAI Defend acts as a firewall for AI to protect against real-time threats. With comprehensive security at every stage, TrojAI ensures robust protection for AI models and applications. TrojAI enables enterprises to deploy AI agents with confidence, providing visibility and enforcement beyond the prompt layer. It provides comprehensive AI security for the modern agentic landscape, stopping exploits like prompt injection and data exfiltration across the attack surface. TrojAI protects the full AI lifecycle, surfacing AI risks and vulnerabilities pre-deployment, monitoring agentic traffic for prompt injection attacks, discovering rogue or malicious agents and MCP servers, and delivering context and observability into every agent decision.
Products
- TrojAI DetectAutomatically red teams AI models during development, providing remediation guidance at build time. It delivers continuous agent-led AI red teaming that identifies how AI agents can be manipulated, ensuring AI deployments are secure, robust, and trustworthy. It tests AI agents and models to reveal unsafe behavior and security risks before they can be exploited.
- TrojAI DefendActs as a firewall for AI to protect against real-time threats. It provides runtime defense for AI agents and applications, stopping active threats with real-time analysis, blocking, redaction, and logging. It delivers real-time visibility and control over AI systems, helping detect, block, and contain threats before they impact users, data, or connected systems.
- TrojAI Defend for MCPA specific offering of TrojAI Defend tailored for Model Context Protocol (MCP).
- TrojAI Defend for EmployeesA specific offering of TrojAI Defend for employee-facing AI applications.
Key capabilities
- Automated red teaming for AI models
- Real-time AI firewall
- Visibility and enforcement beyond the prompt layer for AI agents
- Stop adversarial attacks (direct and indirect prompt injection, jailbreaking)
- Prevent data leakage (PII and sensitive data)
- Block toxic content (offensive content in inputs and outputs)
- Neutralize tool abuse (rogue MCP servers, unauthorized access, tool tampering)
- Surface AI risks and vulnerabilities pre-deployment
- Monitor agentic traffic for prompt injection attacks
- Discover rogue or malicious agents, MCP servers, and their tools
- Deliver context and observability into every agent decision (invocation, span, tool call)
- AI Red Teaming
- AI Model Guardrails
- Model Context Protocol (MCP)
- Test AI systems for real-world attacks (prompt injection, jailbreaks, unsafe outputs, data leakage, adversarial behavior)
- Secure AI in production (monitor AI behavior and identify emerging threats)
- Govern AI risk (map findings to policies and generate comprehensive reporting)
- Adaptive AI agents for red teaming
- Prioritize and mitigate risk based on severity
- Adaptive learning for multi-step interactions in red teaming
- Thousands of out-of-the-box attacks, manipulations, and adversarial testing scenarios
- Customizable tests and proprietary fine-tuned adversarial models and custom datasets for red teaming
- Comprehensive reporting with actionable insights mapped to OWASP, MITRE, and NIST frameworks
- Agent-led AI red teaming for single-turn, multi-turn, and agentic attacks
- AI-powered runtime protection with layered AI-driven detections
- TrojGuard (purpose-built LLM and specialized classifiers for detection)
- Eliminate adversarial attacks (prompt injection, jailbreaking, data leakage)
- Block toxic and offensive content
- Enforce security policies in real time with a customizable rules engine
- Discover AI agent behavior (analyze full execution traces)
- Integrate with existing security workflows (SIEM, SOAR, ticketing platforms)
- Customizable risk engine with prebuilt and custom policies
- Scalable for enterprise-level production workloads
- Flexible integration into any environment
- Self-hosted/on-prem deployment option
Use cases
- Securing AI/ML and GenAI models, applications, and agents
- Safeguarding AI models and applications at build time
- Safeguarding AI models and applications at run time
- Deploying AI agents with confidence
- Stopping exploits like prompt injection and data exfiltration
- Compliance and governance for AI systems
- Protecting against adversarial attacks
- Preventing data leakage
- Blocking toxic content
- Neutralizing tool abuse
- Red teaming AI models during development
- Real-time threat protection for AI
- Evaluating AI systems against prompt injection, jailbreaks, unsafe outputs, and adversarial behavior
- Monitoring AI behavior and identifying emerging threats in production
- Mapping AI security findings to policies and generating reports for governance
- Accelerating safe AI adoption
- Reducing financial and reputational risk from AI
- Achieving compliance and audit readiness for AI
- Protecting sensitive data and IP in AI systems
- Ensuring operational resilience of AI systems
- Testing AI systems for data leakage and unsafe disclosure
- Assessing agents, tools, and integrations for AI security
- Identifying vulnerabilities before they impact customers or production
- Detecting emerging AI risks and unsafe behavior
- Real-time visibility and control over AI risk for CISOs
- Runtime guardrails for complex AI ecosystems for AI Security Architects
- Full protection for AI applications in production for AppSec/CloudSec Teams
AI approach
TrojAI provides an AI security platform that secures AI/ML and GenAI models, applications, and agents from development to deployment. Their platform includes TrojAI Detect for red teaming AI models during development and TrojAI Defend, an AI firewall for real-time threat protection. They use AI-driven detections, including purpose-built LLMs and specialized classifiers, to identify and stop threats.
Tech named: AI/ML rulesets, pattern matching, purpose-built LLM, specialized classifiers
Industries served
- Financial Services
- Insurance
- Technology
- Manufacturing
- Public Sector
What it says sets it apart
- Born out of adversarial AI research
- At the forefront of AI innovation
- Built for the Enterprise
- Comprehensive AI security for the modern agentic landscape
- One platform to discover, test, and protect AI agents across the AI lifecycle
- Unifying layer for AI security
- Purpose-built to exceed the most stringent needs of Fortune 500 companies
- Customizable risk engine meets unique needs with prebuilt and custom policies
- Scalable to handle enterprise-level production workloads
- Flexible integration into any environment
- Self-hosted/on-prem deployment ensures data stays secure
- Simplified AI governance with trusted frameworks (OWASP, MITRE, NIST)
- Agent-led red teaming that uncovers AI risks
- Adaptive learning maintains conversational state, memory, and context across multi-step interactions to simulate real attackers
- Proprietary fine-tuned adversarial models and custom datasets for testing
- AI-powered runtime protection with layered AI-driven detections
- TrojGuard, made up of purpose-built LLMs and specialized classifiers for deep inspection and high-speed detection
- Building the future of AI runtime defense
Funding rounds we track
Flying Fish, Alteryx Ventures, Flybridge Capital Partners
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from TrojAI's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.