TrojAI by A10 Networks
Secure every AI agent, application, model from build to runtime
One Platform for Enterprise AI Security
Meet AI risk head-on. Test your models before they ship and defend your agents and applications once they’re live.
Deploy Anywhere
Maintain full control, privacy, and security over your models, agents, and data with a self-contained deployment on-premises or in your own cloud.
Build Guardrails for Agents
Discover every agent and MCP server, control tool usage and test agents with agent-led red teaming from build to runtime.
Governance and Compliance
Map every finding to OWASP, MITRE, and NIST, and stream insights into your existing SIEM, SOAR, and ticketing platforms.
Platform Components
TrojAI Defend
Runtime protection for AI agents and applications
Defend blocks prompt injection, jailbreaking, data leakage, and toxic content in real time, enforcing security policies across every AI agent and application in production, and streaming insights into your existing SIEM, SOAR, and ticketing platforms.
TrojAI Detect
Agent-led red teaming that uncovers AI risks
Detect runs continuous, agent-led red teaming against your AI models and agents, simulating single-turn, multi-turn, and agentic attacks to uncover unsafe behavior before deployment, with findings mapped to OWASP, MITRE, and NIST frameworks.
TrojAI Defend for MCP
Discover and govern every MCP server, tool, and agent
Discovers rogue or misconfigured MCP servers and tools, enforces policy on agent-to-model-to-server communications, and blocks malicious or suspicious MCP traffic in real time.
Key Features
Protect Against Adversarial Attacks
Protect against direct and indirect prompt injection attempting to manipulate model or agent behavior, jailbreaking bypassing safeguards, policies, or controls to generate restricted or unauthorized outputs and data leakage that exposes sensitive or confidential data through inputs, outputs, or connected systems.
Adversarial Testing at Scale
Leverage thousands of out-of-the-box attacks, manipulations, and adversarial testing scenarios or accelerate testing using TrojAI’s proprietary fine-tuned adversarial models and custom datasets.
Adaptive Learning
Maintain conversational state, memory, and context across multi-step interactions to simulate how real attackers adapt over time.
Block Toxic and Offensive Content
Sanitize prompts and responses to AI agents, applications, and models to ensure interactions remain safe and aligned with organizational standards.
Enforce Security Policies in Real Time
Secure every use case with preset or customized policies powered by an enterprise-grade rules engine.
Discover AI Agent Behavior
Analyze full AI agent execution traces across tool usage, memory access, and data retrieval.
Prioritize and Mitigate Risk
Prioritize risk based on severity to mitigate threats, reduce organizational exposure, and protect against financial and reputational damage.
Integrate with Existing Security Workflows
Stream AI security insights into SIEM, SOAR, and ticketing platforms to improve visibility, accelerate response, and operationalize AI security at scale.
Frequently Asked Questions
Don’t see your question listed? Contact a product expert to get answers.
An AI firewall is a runtime security layer that inspects and filters prompts and responses between users and AI agents or applications, blocking prompt injection, jailbreaking, toxic content, and data leakage in real time.
AI red teaming proactively tests AI models before deployment and continuously thereafter to uncover vulnerabilities like prompt injection, jailbreaking, and data leakage, simulating real-world adversarial attacks at scale to identify risks before models go live.
AI agents take autonomous actions, use tools, and retain memory across multi-step interactions, creating risks traditional security tools weren’t built to catch. TrojAI Defend gives visibility into agent execution, while TrojAI Detect stress tests agents with adaptive, multi-step attacks.
Adversarial testing subjects AI models to thousands of attack scenarios and manipulations to uncover weaknesses before real attackers can exploit them. TrojAI Detect automates this at scale using proprietary fine-tuned adversarial models and custom data sets.
Yes, TrojAI Defend streams AI security insights into SIEM, SOAR, and ticketing platforms, so your team can operationalize AI security alongside existing workflows without adding new silos.
They serve different purposes and work best together. AI red teaming (TrojAI Detect) catches vulnerabilities before deployment, while runtime defense (TrojAI Defend) protects agents and applications continuously in production.
Related Product
ThreatX by A10 Networks
ThreatX takes a unified WAPP approach, holistically providing advanced API protection and securing the entire application ecosystem from both attacks and attackers.
Additional Resources
A10 Networks Acquires TrojAI Inc., Expanding AI Roadmap
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